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Two fair dice are rolled. Find the probability that the sum is 2.
A fair die is rolled 2 times. Find the probability of at least one six.
The probability that a flight is late is 0.78. Find the probability that it is not late.
A fair coin lands heads 7 times in a row. What is the probability of heads on the next toss?
1. 1/2: the coin has no memory
2. Less than 1/2: tails is due
3. More than 1/2: heads is on a streak
A fair coin lands heads 5 times in a row. What is the probability of heads on the next toss?
1. 1/2: the coin has no memory
2. Less than 1/2: tails is due
3. More than 1/2: heads is on a streak
A fair coin lands heads 10 times in a row. What is the probability of heads on the next toss?
1. 1/2: the coin has no memory
2. Less than 1/2: tails is due
3. More than 1/2: heads is on a streak
A fair coin lands heads 6 times in a row. What is the probability of heads on the next toss?
1. 1/2: the coin has no memory
2. Less than 1/2: tails is due
3. More than 1/2: heads is on a streak
A fair coin lands heads 8 times in a row. What is the probability of heads on the next toss?
1. 1/2: the coin has no memory
2. Less than 1/2: tails is due
3. More than 1/2: heads is on a streak
A fair coin lands heads 9 times in a row. What is the probability of heads on the next toss?
1. 1/2: the coin has no memory
2. Less than 1/2: tails is due
3. More than 1/2: heads is on a streak
What does it mean that the probability of rain tomorrow is 0.7?
1. On many days like tomorrow, it rains on about 70% of them
2. It will rain for 70% of the day
3. It will rain if the probability is above 0.5
What does it mean that the probability of rain tomorrow is 0.3?
1. On many days like tomorrow, it rains on about 30% of them
2. It will rain for 30% of the day
3. It will rain if the probability is above 0.5
What does it mean that the probability of rain tomorrow is 0.8?
1. On many days like tomorrow, it rains on about 80% of them
2. It will rain for 80% of the day
3. It will rain if the probability is above 0.5
What does it mean that the probability of rain tomorrow is 0.2?
1. On many days like tomorrow, it rains on about 20% of them
2. It will rain for 20% of the day
3. It will rain if the probability is above 0.5
What does it mean that the probability of rain tomorrow is 0.6?
1. On many days like tomorrow, it rains on about 60% of them
2. It will rain for 60% of the day
3. It will rain if the probability is above 0.5
What does it mean that the probability of rain tomorrow is 0.5?
1. On many days like tomorrow, it rains on about 50% of them
2. It will rain for 50% of the day
3. It will rain if the probability is above 0.5
What does it mean that the probability of rain tomorrow is 0.4?
1. On many days like tomorrow, it rains on about 40% of them
2. It will rain for 40% of the day
3. It will rain if the probability is above 0.5
To simulate a free throw made with probability 0.6 using random digits 0–9, how many of the ten digits should stand for 'made'?
12% of a population has a condition. A test is positive for 86% of people with the condition and for 11% of people without it. Find P(positive).
22% of a population has a condition. A test is positive for 81% of people with the condition and for 12% of people without it. Find P(condition | positive).
A disease affects 1 in 1,000 people. A test is 93% accurate for both sick and healthy people. Your test is positive. What is most likely?
1. You are still more likely healthy: false positives from the many healthy people outnumber the true positives
2. You are about 93% likely to be sick
3. You are certainly sick
A disease affects 1 in 1,000 people. A test is 99% accurate for both sick and healthy people. Your test is positive. What is most likely?
1. You are still more likely healthy: false positives from the many healthy people outnumber the true positives
2. You are about 99% likely to be sick
3. You are certainly sick
A disease affects 1 in 1,000 people. A test is 95% accurate for both sick and healthy people. Your test is positive. What is most likely?
1. You are still more likely healthy: false positives from the many healthy people outnumber the true positives
2. You are about 95% likely to be sick
3. You are certainly sick
A disease affects 1 in 1,000 people. A test is 98% accurate for both sick and healthy people. Your test is positive. What is most likely?
1. You are still more likely healthy: false positives from the many healthy people outnumber the true positives
2. You are about 98% likely to be sick
3. You are certainly sick
A disease affects 1 in 1,000 people. A test is 97% accurate for both sick and healthy people. Your test is positive. What is most likely?
1. You are still more likely healthy: false positives from the many healthy people outnumber the true positives
2. You are about 97% likely to be sick
3. You are certainly sick
A disease affects 1 in 1,000 people. A test is 92% accurate for both sick and healthy people. Your test is positive. What is most likely?
1. You are still more likely healthy: false positives from the many healthy people outnumber the true positives
2. You are about 92% likely to be sick
3. You are certainly sick
A disease affects 1 in 1,000 people. A test is 91% accurate for both sick and healthy people. Your test is positive. What is most likely?
1. You are still more likely healthy: false positives from the many healthy people outnumber the true positives
2. You are about 91% likely to be sick
3. You are certainly sick
A disease affects 1 in 1,000 people. A test is 96% accurate for both sick and healthy people. Your test is positive. What is most likely?
1. You are still more likely healthy: false positives from the many healthy people outnumber the true positives
2. You are about 96% likely to be sick
3. You are certainly sick
A disease affects 1 in 1,000 people. A test is 90% accurate for both sick and healthy people. Your test is positive. What is most likely?
1. You are still more likely healthy: false positives from the many healthy people outnumber the true positives
2. You are about 90% likely to be sick
3. You are certainly sick
A disease affects 1 in 1,000 people. A test is 94% accurate for both sick and healthy people. Your test is positive. What is most likely?
1. You are still more likely healthy: false positives from the many healthy people outnumber the true positives
2. You are about 94% likely to be sick
3. You are certainly sick
A researcher measures the sleep of 376 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 288 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 121 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 257 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 244 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 126 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 291 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 133 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 136 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 266 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 168 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 57 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 89 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 193 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 84 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 154 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 338 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 111 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 95 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 231 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 105 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 75 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 68 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 318 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 292 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 98 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 303 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 129 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 325 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 314 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 175 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 438 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 242 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 319 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 144 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 285 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 300 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 328 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 362 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 150 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 483 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 224 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 149 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 310 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 177 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 267 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 151 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 123 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 254 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 219 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
To learn how much US college students spend on books, a team surveys 671 students at 20 colleges. What is the population?
1. All US college students
2. The 671 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 351 students at 20 colleges. What is the population?
1. All US college students
2. The 351 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 876 students at 20 colleges. What is the population?
1. All US college students
2. The 876 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 464 students at 20 colleges. What is the population?
1. All US college students
2. The 464 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 319 students at 20 colleges. What is the population?
1. All US college students
2. The 319 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 417 students at 20 colleges. What is the population?
1. All US college students
2. The 417 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 858 students at 20 colleges. What is the population?
1. All US college students
2. The 858 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 637 students at 20 colleges. What is the population?
1. All US college students
2. The 637 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 178 students at 20 colleges. What is the population?
1. All US college students
2. The 178 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 262 students at 20 colleges. What is the population?
1. All US college students
2. The 262 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 217 students at 20 colleges. What is the population?
1. All US college students
2. The 217 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 333 students at 20 colleges. What is the population?
1. All US college students
2. The 333 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 230 students at 20 colleges. What is the population?
1. All US college students
2. The 230 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 536 students at 20 colleges. What is the population?
1. All US college students
2. The 536 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 208 students at 20 colleges. What is the population?
1. All US college students
2. The 208 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 639 students at 20 colleges. What is the population?
1. All US college students
2. The 639 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 539 students at 20 colleges. What is the population?
1. All US college students
2. The 539 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 622 students at 20 colleges. What is the population?
1. All US college students
2. The 622 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 580 students at 20 colleges. What is the population?
1. All US college students
2. The 580 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 588 students at 20 colleges. What is the population?
1. All US college students
2. The 588 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 209 students at 20 colleges. What is the population?
1. All US college students
2. The 209 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 461 students at 20 colleges. What is the population?
1. All US college students
2. The 461 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 334 students at 20 colleges. What is the population?
1. All US college students
2. The 334 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 859 students at 20 colleges. What is the population?
1. All US college students
2. The 859 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 282 students at 20 colleges. What is the population?
1. All US college students
2. The 282 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 658 students at 20 colleges. What is the population?
1. All US college students
2. The 658 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 696 students at 20 colleges. What is the population?
1. All US college students
2. The 696 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 556 students at 20 colleges. What is the population?
1. All US college students
2. The 556 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 762 students at 20 colleges. What is the population?
1. All US college students
2. The 762 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 832 students at 20 colleges. What is the population?
1. All US college students
2. The 832 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 355 students at 20 colleges. What is the population?
1. All US college students
2. The 355 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 712 students at 20 colleges. What is the population?
1. All US college students
2. The 712 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 427 students at 20 colleges. What is the population?
1. All US college students
2. The 427 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 833 students at 20 colleges. What is the population?
1. All US college students
2. The 833 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 462 students at 20 colleges. What is the population?
1. All US college students
2. The 462 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 677 students at 20 colleges. What is the population?
1. All US college students
2. The 677 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 104 students at 20 colleges. What is the population?
1. All US college students
2. The 104 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 774 students at 20 colleges. What is the population?
1. All US college students
2. The 774 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 569 students at 20 colleges. What is the population?
1. All US college students
2. The 569 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 519 students at 20 colleges. What is the population?
1. All US college students
2. The 519 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 280 students at 20 colleges. What is the population?
1. All US college students
2. The 280 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 635 students at 20 colleges. What is the population?
1. All US college students
2. The 635 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 493 students at 20 colleges. What is the population?
1. All US college students
2. The 493 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 227 students at 20 colleges. What is the population?
1. All US college students
2. The 227 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 808 students at 20 colleges. What is the population?
1. All US college students
2. The 808 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 188 students at 20 colleges. What is the population?
1. All US college students
2. The 188 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 877 students at 20 colleges. What is the population?
1. All US college students
2. The 877 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 789 students at 20 colleges. What is the population?
1. All US college students
2. The 789 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 669 students at 20 colleges. What is the population?
1. All US college students
2. The 669 students surveyed
3. The 20 colleges
To learn how much US college students spend on books, a team surveys 510 students at 20 colleges. What is the population?
1. All US college students
2. The 510 students surveyed
3. The 20 colleges
Census records show that 52% of all households in a town own a car. What is 52%?
1. A parameter: it describes the whole population
2. A statistic
3. A sample proportion
Census records show that 55% of all households in a town own a car. What is 55%?
1. A parameter: it describes the whole population
2. A statistic
3. A sample proportion
Census records show that 60% of all households in a town own a car. What is 60%?
1. A parameter: it describes the whole population
2. A statistic
3. A sample proportion
Census records show that 40% of all households in a town own a car. What is 40%?
1. A parameter: it describes the whole population
2. A statistic
3. A sample proportion
Census records show that 57% of all households in a town own a car. What is 57%?
1. A parameter: it describes the whole population
2. A statistic
3. A sample proportion
Census records show that 42% of all households in a town own a car. What is 42%?
1. A parameter: it describes the whole population
2. A statistic
3. A sample proportion
Census records show that 49% of all households in a town own a car. What is 49%?
1. A parameter: it describes the whole population
2. A statistic
3. A sample proportion
Census records show that 51% of all households in a town own a car. What is 51%?
1. A parameter: it describes the whole population
2. A statistic
3. A sample proportion
Census records show that 58% of all households in a town own a car. What is 58%?
1. A parameter: it describes the whole population
2. A statistic
3. A sample proportion
Census records show that 50% of all households in a town own a car. What is 50%?
1. A parameter: it describes the whole population
2. A statistic
3. A sample proportion
Census records show that 45% of all households in a town own a car. What is 45%?
1. A parameter: it describes the whole population
2. A statistic
3. A sample proportion
Census records show that 53% of all households in a town own a car. What is 53%?
1. A parameter: it describes the whole population
2. A statistic
3. A sample proportion
Census records show that 56% of all households in a town own a car. What is 56%?
1. A parameter: it describes the whole population
2. A statistic
3. A sample proportion
Census records show that 59% of all households in a town own a car. What is 59%?
1. A parameter: it describes the whole population
2. A statistic
3. A sample proportion
Census records show that 48% of all households in a town own a car. What is 48%?
1. A parameter: it describes the whole population
2. A statistic
3. A sample proportion
Census records show that 47% of all households in a town own a car. What is 47%?
1. A parameter: it describes the whole population
2. A statistic
3. A sample proportion
Census records show that 43% of all households in a town own a car. What is 43%?
1. A parameter: it describes the whole population
2. A statistic
3. A sample proportion
Census records show that 46% of all households in a town own a car. What is 46%?
1. A parameter: it describes the whole population
2. A statistic
3. A sample proportion
Census records show that 54% of all households in a town own a car. What is 54%?
1. A parameter: it describes the whole population
2. A statistic
3. A sample proportion
Census records show that 41% of all households in a town own a car. What is 41%?
1. A parameter: it describes the whole population
2. A statistic
3. A sample proportion
Census records show that 44% of all households in a town own a car. What is 44%?
1. A parameter: it describes the whole population
2. A statistic
3. A sample proportion
A news website asks readers to vote online; 4824 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 4824 responses are representative
A news website asks readers to vote online; 1714 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 1714 responses are representative
A news website asks readers to vote online; 3716 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 3716 responses are representative
A news website asks readers to vote online; 1560 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 1560 responses are representative
A news website asks readers to vote online; 1035 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 1035 responses are representative
A news website asks readers to vote online; 1225 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 1225 responses are representative
A news website asks readers to vote online; 866 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 866 responses are representative
A news website asks readers to vote online; 1442 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 1442 responses are representative
A news website asks readers to vote online; 3042 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 3042 responses are representative
A news website asks readers to vote online; 2939 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 2939 responses are representative
A news website asks readers to vote online; 3780 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 3780 responses are representative
A news website asks readers to vote online; 3381 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 3381 responses are representative
A news website asks readers to vote online; 4312 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 4312 responses are representative
A news website asks readers to vote online; 4089 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 4089 responses are representative
A news website asks readers to vote online; 2087 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 2087 responses are representative
A news website asks readers to vote online; 4745 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 4745 responses are representative
A news website asks readers to vote online; 4130 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 4130 responses are representative
A news website asks readers to vote online; 1359 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 1359 responses are representative
A news website asks readers to vote online; 2941 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 2941 responses are representative
A news website asks readers to vote online; 4407 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 4407 responses are representative
A news website asks readers to vote online; 4025 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 4025 responses are representative
A news website asks readers to vote online; 4086 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 4086 responses are representative
A news website asks readers to vote online; 2631 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 2631 responses are representative
A news website asks readers to vote online; 598 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 598 responses are representative
A news website asks readers to vote online; 602 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 602 responses are representative
A news website asks readers to vote online; 4358 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 4358 responses are representative
A news website asks readers to vote online; 3213 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 3213 responses are representative
A news website asks readers to vote online; 3873 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 3873 responses are representative
A news website asks readers to vote online; 1872 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 1872 responses are representative
A news website asks readers to vote online; 1732 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 1732 responses are representative
A news website asks readers to vote online; 4507 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 4507 responses are representative
A news website asks readers to vote online; 3855 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 3855 responses are representative
A news website asks readers to vote online; 3591 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 3591 responses are representative
A news website asks readers to vote online; 1002 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 1002 responses are representative
A news website asks readers to vote online; 3188 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 3188 responses are representative
A news website asks readers to vote online; 1545 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 1545 responses are representative
A news website asks readers to vote online; 1734 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 1734 responses are representative
A news website asks readers to vote online; 1949 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 1949 responses are representative
A news website asks readers to vote online; 1077 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 1077 responses are representative
A news website asks readers to vote online; 1979 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 1979 responses are representative
A news website asks readers to vote online; 4847 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 4847 responses are representative
A news website asks readers to vote online; 1616 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 1616 responses are representative
A news website asks readers to vote online; 2473 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 2473 responses are representative
A news website asks readers to vote online; 1938 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 1938 responses are representative
A news website asks readers to vote online; 4351 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 4351 responses are representative
A news website asks readers to vote online; 1755 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 1755 responses are representative
A news website asks readers to vote online; 4385 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 4385 responses are representative
A news website asks readers to vote online; 2748 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 2748 responses are representative
A news website asks readers to vote online; 1328 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 1328 responses are representative
A news website asks readers to vote online; 4228 vote and 80% favor a new law. What is the main problem?
1. Voluntary response bias: people with strong opinions choose to respond
2. The sample is too small
3. None: 4228 responses are representative
A survey of 115 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 715 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 619 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 410 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 361 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 189 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 159 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 369 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 443 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 510 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 196 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 749 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 763 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 563 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 707 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 675 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 145 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 326 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 211 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 471 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 415 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 775 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 798 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 873 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 858 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 440 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 138 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 108 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 897 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 585 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 608 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 418 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 104 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 484 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 496 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 302 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 291 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 193 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 631 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 634 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 487 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 803 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 556 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 868 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 889 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 411 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 458 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 668 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 151 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A survey of 422 adults is done by calling landline numbers. What kind of bias is most likely?
1. Undercoverage: people without landlines cannot be chosen
2. Response bias from the wording
3. None, if the numbers are chosen at random
A biased survey of 238 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 402 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 520 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 555 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 666 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 583 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 355 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 891 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 718 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 517 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 819 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 307 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 446 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 789 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 392 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 126 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 706 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 653 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 352 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 403 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 300 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 462 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 708 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 253 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 862 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 205 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 609 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 846 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 867 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 288 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 351 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 496 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 223 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 692 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 705 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 473 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 740 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 600 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 357 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 188 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 700 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 289 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 756 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 640 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 396 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 835 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 864 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 833 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 721 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
A biased survey of 136 people is repeated with 10 times as many people, chosen the same way. What happens to the bias?
1. It stays: a larger sample reduces random variability, not bias
2. It disappears
3. It becomes 10 times smaller
Many random samples of size 161 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 224 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 490 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 260 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 439 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 410 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 315 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 242 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 409 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 473 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 423 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 230 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 173 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 198 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 58 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 467 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 96 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 195 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 81 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 334 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 91 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 124 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 367 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 487 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 238 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 351 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 113 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 189 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 391 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 382 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 319 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 52 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 220 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 51 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 337 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 316 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 393 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 452 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 102 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 62 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 208 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 95 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 450 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 443 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 75 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 477 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 286 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 374 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 428 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Many random samples of size 66 are taken from the same population. Which quantity changes from sample to sample?
1. The sample proportion p̂ (a statistic)
2. The population proportion p (a parameter)
3. The sample size
Compared with samples of size 73, samples of size 292 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 72, samples of size 288 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 32, samples of size 128 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 41, samples of size 164 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 127, samples of size 508 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 193, samples of size 772 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 25, samples of size 100 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 80, samples of size 320 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 197, samples of size 788 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 97, samples of size 388 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 66, samples of size 264 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 151, samples of size 604 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 113, samples of size 452 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 84, samples of size 336 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 192, samples of size 768 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 104, samples of size 416 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 107, samples of size 428 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 147, samples of size 588 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 155, samples of size 620 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 116, samples of size 464 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 67, samples of size 268 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 60, samples of size 240 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 137, samples of size 548 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 55, samples of size 220 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 23, samples of size 92 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 65, samples of size 260 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 77, samples of size 308 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 45, samples of size 180 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 93, samples of size 372 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 74, samples of size 296 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 46, samples of size 184 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 159, samples of size 636 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 30, samples of size 120 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 21, samples of size 84 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 191, samples of size 764 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 182, samples of size 728 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 123, samples of size 492 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 153, samples of size 612 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 114, samples of size 456 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 90, samples of size 360 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 117, samples of size 468 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 198, samples of size 792 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 63, samples of size 252 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 102, samples of size 408 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 98, samples of size 392 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 82, samples of size 328 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 89, samples of size 356 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 119, samples of size 476 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 174, samples of size 696 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
Compared with samples of size 190, samples of size 760 give sample means that…
1. vary less around the population mean
2. vary more
3. are more biased
What is the sampling distribution of the sample mean for samples of size 25?
1. The distribution of x̄ over all possible samples of size 25
2. The distribution of the 25 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 23?
1. The distribution of x̄ over all possible samples of size 23
2. The distribution of the 23 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 46?
1. The distribution of x̄ over all possible samples of size 46
2. The distribution of the 46 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 40?
1. The distribution of x̄ over all possible samples of size 40
2. The distribution of the 40 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 38?
1. The distribution of x̄ over all possible samples of size 38
2. The distribution of the 38 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 86?
1. The distribution of x̄ over all possible samples of size 86
2. The distribution of the 86 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 152?
1. The distribution of x̄ over all possible samples of size 152
2. The distribution of the 152 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 72?
1. The distribution of x̄ over all possible samples of size 72
2. The distribution of the 72 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 159?
1. The distribution of x̄ over all possible samples of size 159
2. The distribution of the 159 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 98?
1. The distribution of x̄ over all possible samples of size 98
2. The distribution of the 98 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 91?
1. The distribution of x̄ over all possible samples of size 91
2. The distribution of the 91 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 59?
1. The distribution of x̄ over all possible samples of size 59
2. The distribution of the 59 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 22?
1. The distribution of x̄ over all possible samples of size 22
2. The distribution of the 22 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 80?
1. The distribution of x̄ over all possible samples of size 80
2. The distribution of the 80 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 162?
1. The distribution of x̄ over all possible samples of size 162
2. The distribution of the 162 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 55?
1. The distribution of x̄ over all possible samples of size 55
2. The distribution of the 55 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 37?
1. The distribution of x̄ over all possible samples of size 37
2. The distribution of the 37 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 56?
1. The distribution of x̄ over all possible samples of size 56
2. The distribution of the 56 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 160?
1. The distribution of x̄ over all possible samples of size 160
2. The distribution of the 160 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 130?
1. The distribution of x̄ over all possible samples of size 130
2. The distribution of the 130 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 67?
1. The distribution of x̄ over all possible samples of size 67
2. The distribution of the 67 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 28?
1. The distribution of x̄ over all possible samples of size 28
2. The distribution of the 28 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 173?
1. The distribution of x̄ over all possible samples of size 173
2. The distribution of the 173 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 69?
1. The distribution of x̄ over all possible samples of size 69
2. The distribution of the 69 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 153?
1. The distribution of x̄ over all possible samples of size 153
2. The distribution of the 153 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 199?
1. The distribution of x̄ over all possible samples of size 199
2. The distribution of the 199 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 106?
1. The distribution of x̄ over all possible samples of size 106
2. The distribution of the 106 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 104?
1. The distribution of x̄ over all possible samples of size 104
2. The distribution of the 104 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 184?
1. The distribution of x̄ over all possible samples of size 184
2. The distribution of the 184 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 133?
1. The distribution of x̄ over all possible samples of size 133
2. The distribution of the 133 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 21?
1. The distribution of x̄ over all possible samples of size 21
2. The distribution of the 21 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 93?
1. The distribution of x̄ over all possible samples of size 93
2. The distribution of the 93 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 167?
1. The distribution of x̄ over all possible samples of size 167
2. The distribution of the 167 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 97?
1. The distribution of x̄ over all possible samples of size 97
2. The distribution of the 97 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 48?
1. The distribution of x̄ over all possible samples of size 48
2. The distribution of the 48 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 61?
1. The distribution of x̄ over all possible samples of size 61
2. The distribution of the 61 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 32?
1. The distribution of x̄ over all possible samples of size 32
2. The distribution of the 32 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 166?
1. The distribution of x̄ over all possible samples of size 166
2. The distribution of the 166 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 176?
1. The distribution of x̄ over all possible samples of size 176
2. The distribution of the 176 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 62?
1. The distribution of x̄ over all possible samples of size 62
2. The distribution of the 62 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 195?
1. The distribution of x̄ over all possible samples of size 195
2. The distribution of the 195 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 95?
1. The distribution of x̄ over all possible samples of size 95
2. The distribution of the 95 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 121?
1. The distribution of x̄ over all possible samples of size 121
2. The distribution of the 121 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 123?
1. The distribution of x̄ over all possible samples of size 123
2. The distribution of the 123 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 83?
1. The distribution of x̄ over all possible samples of size 83
2. The distribution of the 83 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 45?
1. The distribution of x̄ over all possible samples of size 45
2. The distribution of the 45 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 124?
1. The distribution of x̄ over all possible samples of size 124
2. The distribution of the 124 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 113?
1. The distribution of x̄ over all possible samples of size 113
2. The distribution of the 113 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 35?
1. The distribution of x̄ over all possible samples of size 35
2. The distribution of the 35 values in one sample
3. The distribution of the population
What is the sampling distribution of the sample mean for samples of size 65?
1. The distribution of x̄ over all possible samples of size 65
2. The distribution of the 65 values in one sample
3. The distribution of the population
Find the mean absolute deviation (MAD) of the data 8, 13, 15, 20.
Two classes both have a mean test score of 61. Class A has a MAD of 3 points and class B a MAD of 7 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 62. Class A has a MAD of 3 points and class B a MAD of 7 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 67. Class A has a MAD of 1 points and class B a MAD of 6 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 52. Class A has a MAD of 2 points and class B a MAD of 5 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 60. Class A has a MAD of 3 points and class B a MAD of 5 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 76. Class A has a MAD of 4 points and class B a MAD of 7 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 67. Class A has a MAD of 3 points and class B a MAD of 6 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 78. Class A has a MAD of 1 points and class B a MAD of 8 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 69. Class A has a MAD of 1 points and class B a MAD of 5 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 74. Class A has a MAD of 4 points and class B a MAD of 9 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 53. Class A has a MAD of 1 points and class B a MAD of 6 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 60. Class A has a MAD of 2 points and class B a MAD of 8 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 77. Class A has a MAD of 1 points and class B a MAD of 8 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 63. Class A has a MAD of 1 points and class B a MAD of 5 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 51. Class A has a MAD of 3 points and class B a MAD of 7 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 59. Class A has a MAD of 1 points and class B a MAD of 7 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 75. Class A has a MAD of 4 points and class B a MAD of 8 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 56. Class A has a MAD of 1 points and class B a MAD of 9 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 54. Class A has a MAD of 2 points and class B a MAD of 5 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 51. Class A has a MAD of 2 points and class B a MAD of 8 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 70. Class A has a MAD of 4 points and class B a MAD of 7 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 74. Class A has a MAD of 3 points and class B a MAD of 5 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 59. Class A has a MAD of 2 points and class B a MAD of 8 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 69. Class A has a MAD of 2 points and class B a MAD of 8 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 50. Class A has a MAD of 4 points and class B a MAD of 7 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 73. Class A has a MAD of 1 points and class B a MAD of 9 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 51. Class A has a MAD of 4 points and class B a MAD of 9 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 56. Class A has a MAD of 2 points and class B a MAD of 5 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 66. Class A has a MAD of 3 points and class B a MAD of 7 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 57. Class A has a MAD of 2 points and class B a MAD of 5 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 78. Class A has a MAD of 3 points and class B a MAD of 8 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 72. Class A has a MAD of 2 points and class B a MAD of 5 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 65. Class A has a MAD of 1 points and class B a MAD of 6 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 76. Class A has a MAD of 4 points and class B a MAD of 6 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 74. Class A has a MAD of 2 points and class B a MAD of 8 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 67. Class A has a MAD of 2 points and class B a MAD of 7 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 62. Class A has a MAD of 4 points and class B a MAD of 6 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 63. Class A has a MAD of 2 points and class B a MAD of 8 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 67. Class A has a MAD of 4 points and class B a MAD of 7 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 58. Class A has a MAD of 1 points and class B a MAD of 6 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 69. Class A has a MAD of 3 points and class B a MAD of 6 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 77. Class A has a MAD of 2 points and class B a MAD of 6 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 59. Class A has a MAD of 1 points and class B a MAD of 6 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 54. Class A has a MAD of 4 points and class B a MAD of 7 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 57. Class A has a MAD of 3 points and class B a MAD of 5 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 50. Class A has a MAD of 2 points and class B a MAD of 9 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 68. Class A has a MAD of 3 points and class B a MAD of 9 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 78. Class A has a MAD of 3 points and class B a MAD of 9 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 75. Class A has a MAD of 4 points and class B a MAD of 9 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
Two classes both have a mean test score of 59. Class A has a MAD of 4 points and class B a MAD of 8 points. Which statement is true?
1. Class B's scores are more spread out
2. Class A's scores are more spread out
3. The scores are equally spread, because the means are equal
The mean of 4 numbers is 15. What is their sum?
Find the interquartile range (IQR) of the 8 values 3, 9, 14, 17, 24, 27, 33, 46.
Find the (sample) standard deviation of 33, 38, 43.
Two classes both have mean score 78. In class A the scores range from 76 to 80; in class B from 63 to 93. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 52. In class A the scores range from 50 to 54; in class B from 37 to 67. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 54. In class A the scores range from 52 to 56; in class B from 39 to 69. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 56. In class A the scores range from 54 to 58; in class B from 41 to 71. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 51. In class A the scores range from 49 to 53; in class B from 36 to 66. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 43. In class A the scores range from 41 to 45; in class B from 28 to 58. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 35. In class A the scores range from 33 to 37; in class B from 20 to 50. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 59. In class A the scores range from 57 to 61; in class B from 44 to 74. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 77. In class A the scores range from 75 to 79; in class B from 62 to 92. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 53. In class A the scores range from 51 to 55; in class B from 38 to 68. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 23. In class A the scores range from 21 to 25; in class B from 8 to 38. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 37. In class A the scores range from 35 to 39; in class B from 22 to 52. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 45. In class A the scores range from 43 to 47; in class B from 30 to 60. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 48. In class A the scores range from 46 to 50; in class B from 33 to 63. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 34. In class A the scores range from 32 to 36; in class B from 19 to 49. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 70. In class A the scores range from 68 to 72; in class B from 55 to 85. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 57. In class A the scores range from 55 to 59; in class B from 42 to 72. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 24. In class A the scores range from 22 to 26; in class B from 9 to 39. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 65. In class A the scores range from 63 to 67; in class B from 50 to 80. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 30. In class A the scores range from 28 to 32; in class B from 15 to 45. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 67. In class A the scores range from 65 to 69; in class B from 52 to 82. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 58. In class A the scores range from 56 to 60; in class B from 43 to 73. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 80. In class A the scores range from 78 to 82; in class B from 65 to 95. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 66. In class A the scores range from 64 to 68; in class B from 51 to 81. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 32. In class A the scores range from 30 to 34; in class B from 17 to 47. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 79. In class A the scores range from 77 to 81; in class B from 64 to 94. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 28. In class A the scores range from 26 to 30; in class B from 13 to 43. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 46. In class A the scores range from 44 to 48; in class B from 31 to 61. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 62. In class A the scores range from 60 to 64; in class B from 47 to 77. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 25. In class A the scores range from 23 to 27; in class B from 10 to 40. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 44. In class A the scores range from 42 to 46; in class B from 29 to 59. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 72. In class A the scores range from 70 to 74; in class B from 57 to 87. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 75. In class A the scores range from 73 to 77; in class B from 60 to 90. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 38. In class A the scores range from 36 to 40; in class B from 23 to 53. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 36. In class A the scores range from 34 to 38; in class B from 21 to 51. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 31. In class A the scores range from 29 to 33; in class B from 16 to 46. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 39. In class A the scores range from 37 to 41; in class B from 24 to 54. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 64. In class A the scores range from 62 to 66; in class B from 49 to 79. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 74. In class A the scores range from 72 to 76; in class B from 59 to 89. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 73. In class A the scores range from 71 to 75; in class B from 58 to 88. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 22. In class A the scores range from 20 to 24; in class B from 7 to 37. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 47. In class A the scores range from 45 to 49; in class B from 32 to 62. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 76. In class A the scores range from 74 to 78; in class B from 61 to 91. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 42. In class A the scores range from 40 to 44; in class B from 27 to 57. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 40. In class A the scores range from 38 to 42; in class B from 25 to 55. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 41. In class A the scores range from 39 to 43; in class B from 26 to 56. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 63. In class A the scores range from 61 to 65; in class B from 48 to 78. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 26. In class A the scores range from 24 to 28; in class B from 11 to 41. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 71. In class A the scores range from 69 to 73; in class B from 56 to 86. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal
Two classes both have mean score 21. In class A the scores range from 19 to 23; in class B from 6 to 36. Which has the larger standard deviation?
1. Class B: its scores are more spread out
2. Class A
3. The same, because the means are equal

Answers

$\frac{1}{36}$
$\frac{11}{36}$
$\frac{11}{50}$
1/2: the coin has no memory
On many days like tomorrow, it rains on about 70% of them
$6$
$\frac{1}{5}$
$\frac{99}{151}$
You are still more likely healthy: false positives from the many healthy people outnumber the true positives
A statistic: it describes the sample
All US college students
A parameter: it describes the whole population
Voluntary response bias: people with strong opinions choose to respond
Undercoverage: people without landlines cannot be chosen
It stays: a larger sample reduces random variability, not bias
The sample proportion p̂ (a statistic)
vary less around the population mean
The distribution of x̄ over all possible samples of size 25
$\frac{7}{2}$
Class B's scores are more spread out
$60$
$\frac{37}{2}$
$5$
Class B: its scores are more spread out