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Area codes such as 770 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 420 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 560 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 670 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 190 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 530 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 900 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 430 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 510 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 590 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 640 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 140 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 110 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 700 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 820 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 390 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 340 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 170 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 860 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 550 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 570 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 620 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 290 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 600 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 360 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 940 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 320 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 310 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 240 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 980 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 950 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 930 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 540 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 120 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 380 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 130 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 260 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 370 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 970 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 480 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 810 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 230 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 750 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 280 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 220 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 780 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 500 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 300 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 890 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
Area codes such as 660 are numbers. Is the area code of a phone number a quantitative variable?
1. No: it is categorical, a label that only looks like a number
2. Yes: its values are numbers
3. Yes, a discrete quantitative variable
A study measures the resting heart rate of 29 runners. What are the cases (observational units)?
1. The 29 runners
2. The heart rates
3. The number 29
A study measures the resting heart rate of 40 runners. What are the cases (observational units)?
1. The 40 runners
2. The heart rates
3. The number 40
A study measures the resting heart rate of 26 runners. What are the cases (observational units)?
1. The 26 runners
2. The heart rates
3. The number 26
A study measures the resting heart rate of 35 runners. What are the cases (observational units)?
1. The 35 runners
2. The heart rates
3. The number 35
A study measures the resting heart rate of 58 runners. What are the cases (observational units)?
1. The 58 runners
2. The heart rates
3. The number 58
A study measures the resting heart rate of 74 runners. What are the cases (observational units)?
1. The 74 runners
2. The heart rates
3. The number 74
A study measures the resting heart rate of 37 runners. What are the cases (observational units)?
1. The 37 runners
2. The heart rates
3. The number 37
A study measures the resting heart rate of 28 runners. What are the cases (observational units)?
1. The 28 runners
2. The heart rates
3. The number 28
A study measures the resting heart rate of 73 runners. What are the cases (observational units)?
1. The 73 runners
2. The heart rates
3. The number 73
A study measures the resting heart rate of 79 runners. What are the cases (observational units)?
1. The 79 runners
2. The heart rates
3. The number 79
A study measures the resting heart rate of 80 runners. What are the cases (observational units)?
1. The 80 runners
2. The heart rates
3. The number 80
A study measures the resting heart rate of 46 runners. What are the cases (observational units)?
1. The 46 runners
2. The heart rates
3. The number 46
A study measures the resting heart rate of 69 runners. What are the cases (observational units)?
1. The 69 runners
2. The heart rates
3. The number 69
A study measures the resting heart rate of 49 runners. What are the cases (observational units)?
1. The 49 runners
2. The heart rates
3. The number 49
A study measures the resting heart rate of 27 runners. What are the cases (observational units)?
1. The 27 runners
2. The heart rates
3. The number 27
A study measures the resting heart rate of 66 runners. What are the cases (observational units)?
1. The 66 runners
2. The heart rates
3. The number 66
A study measures the resting heart rate of 84 runners. What are the cases (observational units)?
1. The 84 runners
2. The heart rates
3. The number 84
A study measures the resting heart rate of 51 runners. What are the cases (observational units)?
1. The 51 runners
2. The heart rates
3. The number 51
A study measures the resting heart rate of 39 runners. What are the cases (observational units)?
1. The 39 runners
2. The heart rates
3. The number 39
A study measures the resting heart rate of 55 runners. What are the cases (observational units)?
1. The 55 runners
2. The heart rates
3. The number 55
A study measures the resting heart rate of 82 runners. What are the cases (observational units)?
1. The 82 runners
2. The heart rates
3. The number 82
A study measures the resting heart rate of 30 runners. What are the cases (observational units)?
1. The 30 runners
2. The heart rates
3. The number 30
A study measures the resting heart rate of 33 runners. What are the cases (observational units)?
1. The 33 runners
2. The heart rates
3. The number 33
A study measures the resting heart rate of 71 runners. What are the cases (observational units)?
1. The 71 runners
2. The heart rates
3. The number 71
A study measures the resting heart rate of 76 runners. What are the cases (observational units)?
1. The 76 runners
2. The heart rates
3. The number 76
A study measures the resting heart rate of 60 runners. What are the cases (observational units)?
1. The 60 runners
2. The heart rates
3. The number 60
A study measures the resting heart rate of 52 runners. What are the cases (observational units)?
1. The 52 runners
2. The heart rates
3. The number 52
A study measures the resting heart rate of 68 runners. What are the cases (observational units)?
1. The 68 runners
2. The heart rates
3. The number 68
A study measures the resting heart rate of 45 runners. What are the cases (observational units)?
1. The 45 runners
2. The heart rates
3. The number 45
A study measures the resting heart rate of 72 runners. What are the cases (observational units)?
1. The 72 runners
2. The heart rates
3. The number 72
A study measures the resting heart rate of 86 runners. What are the cases (observational units)?
1. The 86 runners
2. The heart rates
3. The number 86
A study measures the resting heart rate of 31 runners. What are the cases (observational units)?
1. The 31 runners
2. The heart rates
3. The number 31
A study measures the resting heart rate of 81 runners. What are the cases (observational units)?
1. The 81 runners
2. The heart rates
3. The number 81
A study measures the resting heart rate of 70 runners. What are the cases (observational units)?
1. The 70 runners
2. The heart rates
3. The number 70
A study measures the resting heart rate of 47 runners. What are the cases (observational units)?
1. The 47 runners
2. The heart rates
3. The number 47
A study measures the resting heart rate of 42 runners. What are the cases (observational units)?
1. The 42 runners
2. The heart rates
3. The number 42
A study measures the resting heart rate of 57 runners. What are the cases (observational units)?
1. The 57 runners
2. The heart rates
3. The number 57
A study measures the resting heart rate of 88 runners. What are the cases (observational units)?
1. The 88 runners
2. The heart rates
3. The number 88
A study measures the resting heart rate of 24 runners. What are the cases (observational units)?
1. The 24 runners
2. The heart rates
3. The number 24
A study measures the resting heart rate of 54 runners. What are the cases (observational units)?
1. The 54 runners
2. The heart rates
3. The number 54
A study measures the resting heart rate of 87 runners. What are the cases (observational units)?
1. The 87 runners
2. The heart rates
3. The number 87
A study measures the resting heart rate of 44 runners. What are the cases (observational units)?
1. The 44 runners
2. The heart rates
3. The number 44
A study measures the resting heart rate of 50 runners. What are the cases (observational units)?
1. The 50 runners
2. The heart rates
3. The number 50
A study measures the resting heart rate of 20 runners. What are the cases (observational units)?
1. The 20 runners
2. The heart rates
3. The number 20
A study measures the resting heart rate of 90 runners. What are the cases (observational units)?
1. The 90 runners
2. The heart rates
3. The number 90
A study measures the resting heart rate of 21 runners. What are the cases (observational units)?
1. The 21 runners
2. The heart rates
3. The number 21
A study measures the resting heart rate of 36 runners. What are the cases (observational units)?
1. The 36 runners
2. The heart rates
3. The number 36
A study measures the resting heart rate of 64 runners. What are the cases (observational units)?
1. The 64 runners
2. The heart rates
3. The number 64
A study measures the resting heart rate of 85 runners. What are the cases (observational units)?
1. The 85 runners
2. The heart rates
3. The number 85
A study measures the resting heart rate of 89 runners. What are the cases (observational units)?
1. The 89 runners
2. The heart rates
3. The number 89
A distribution of incomes has mean 54 thousand dollars and median 43 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 59 thousand dollars and median 54 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 58 thousand dollars and median 46 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 73 thousand dollars and median 59 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 54 thousand dollars and median 46 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 50 thousand dollars and median 44 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 57 thousand dollars and median 49 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 68 thousand dollars and median 53 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 60 thousand dollars and median 55 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 69 thousand dollars and median 58 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 68 thousand dollars and median 57 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 51 thousand dollars and median 46 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 49 thousand dollars and median 41 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 72 thousand dollars and median 60 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 67 thousand dollars and median 58 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 61 thousand dollars and median 56 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 60 thousand dollars and median 52 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 52 thousand dollars and median 45 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 51 thousand dollars and median 42 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 57 thousand dollars and median 46 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 55 thousand dollars and median 41 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 53 thousand dollars and median 48 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 59 thousand dollars and median 47 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 65 thousand dollars and median 51 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 63 thousand dollars and median 55 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 64 thousand dollars and median 56 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 62 thousand dollars and median 49 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 55 thousand dollars and median 43 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 55 thousand dollars and median 44 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 62 thousand dollars and median 48 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 70 thousand dollars and median 60 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 63 thousand dollars and median 58 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 61 thousand dollars and median 54 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 53 thousand dollars and median 44 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 52 thousand dollars and median 44 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 65 thousand dollars and median 53 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 66 thousand dollars and median 58 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 61 thousand dollars and median 55 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 74 thousand dollars and median 59 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 51 thousand dollars and median 40 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 65 thousand dollars and median 60 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 60 thousand dollars and median 54 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 58 thousand dollars and median 48 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 57 thousand dollars and median 50 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 68 thousand dollars and median 55 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 66 thousand dollars and median 54 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 52 thousand dollars and median 42 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 67 thousand dollars and median 52 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 53 thousand dollars and median 41 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 69 thousand dollars and median 55 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
43 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
29 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
70 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
65 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
30 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
44 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
76 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
39 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
56 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
46 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
61 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
51 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
85 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
26 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
89 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
22 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
80 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
37 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
83 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
90 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
49 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
77 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
88 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
38 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
33 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
71 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
41 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
63 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
42 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
66 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
47 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
35 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
58 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
84 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
53 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
52 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
45 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
34 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
55 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
79 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
31 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
81 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
25 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
24 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
62 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
28 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
40 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
86 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
67 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
64 students name their favorite sport. Which display suits these data?
1. A bar chart
2. A histogram
3. A boxplot
Which four features should you describe for the distribution of a quantitative variable (here, 42 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 87 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 86 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 69 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 73 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 31 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 90 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 26 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 61 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 74 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 40 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 55 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 49 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 20 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 45 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 44 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 34 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 72 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 64 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 21 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 80 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 28 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 38 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 71 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 65 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 29 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 75 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 27 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 56 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 24 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 53 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 48 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 77 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 89 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 57 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 52 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 41 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 43 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 60 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 62 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 81 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 85 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 59 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 32 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 88 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 30 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 70 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 33 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 76 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Which four features should you describe for the distribution of a quantitative variable (here, 66 test scores)?
1. Shape, center, spread and unusual values (outliers)
2. The mean, the median, the mode and the sample size
3. The type of graph, the title, the axes and the colors
Find the mean of the data 5, 11, 24, 33, 41.
Find the median of the data 9, 14, 24, 37, 44, 79.
One value in a data set is changed from 20 to 712. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 281. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 549. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 380. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 842. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 395. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 480. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 511. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 618. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 279. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 768. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 808. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 270. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 231. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 246. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 413. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 671. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 876. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 557. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 701. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 324. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 755. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 833. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 563. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 687. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 874. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 295. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 539. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 641. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 657. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 507. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 318. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 748. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 705. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 672. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 782. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 404. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 628. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 770. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 869. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 411. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 386. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 797. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 747. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 463. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 293. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 304. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 622. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 429. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
One value in a data set is changed from 20 to 228. What happens to the mean and the median?
1. The mean increases; the median stays about the same
2. Both increase by the same amount
3. The median increases; the mean stays the same
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
A data set has $Q_1 = 24$ and $Q_3 = 32$ . Above which value is a data point an outlier by the $1.5 \times \text{IQR}$ rule?
$Q_1 = 34$ and $Q_3 = 44$ . Below which value is a data point an outlier?
A boxplot of 81 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 57 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 64 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 40 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 54 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 21 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 24 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 61 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 27 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 28 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 52 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 82 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 71 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 53 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 48 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 39 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 38 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 23 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 78 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 74 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 60 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 65 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 79 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 67 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 43 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 88 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 51 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 30 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 29 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 72 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 89 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 73 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 77 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 41 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 63 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 46 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 32 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 26 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 25 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 33 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 44 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 47 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 69 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 49 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 84 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 31 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 59 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 45 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 75 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval
A boxplot of 66 values shows which summary?
1. The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
2. The mean and the standard deviation
3. How many values fall in each interval

Answers

No: it is categorical, a label that only looks like a number
The 29 runners
Skewed right: a long tail of high values pulls the mean up
A bar chart
Shape, center, spread and unusual values (outliers)
$\frac{114}{5}$
$\frac{61}{2}$
The mean increases; the median stays about the same
$\frac{37}{2}$
$5$
Class B: its scores are more spread out
$44$
$19$
The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately