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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
A circle graph shows the favorite sports of 240 students. The soccer sector is labeled 15%. How many students chose soccer?
A category is 10% of a circle graph. What is the angle of its sector, in degrees?
A circle graph shows how 160 students get to school: bus 50%, walk 25%, car 25%. Which statement is true?
1. Twice as many students take the bus as walk
2. 50 students take the bus
3. The sectors add up to 360 students
A circle graph shows how 120 students get to school: bus 50%, walk 25%, car 25%. Which statement is true?
1. Twice as many students take the bus as walk
2. 50 students take the bus
3. The sectors add up to 360 students
A circle graph shows how 240 students get to school: bus 50%, walk 25%, car 25%. Which statement is true?
1. Twice as many students take the bus as walk
2. 50 students take the bus
3. The sectors add up to 360 students
A circle graph shows how 200 students get to school: bus 50%, walk 25%, car 25%. Which statement is true?
1. Twice as many students take the bus as walk
2. 50 students take the bus
3. The sectors add up to 360 students
A circle graph shows how 180 students get to school: bus 50%, walk 25%, car 25%. Which statement is true?
1. Twice as many students take the bus as walk
2. 50 students take the bus
3. The sectors add up to 360 students
A circle graph shows how 140 students get to school: bus 50%, walk 25%, car 25%. Which statement is true?
1. Twice as many students take the bus as walk
2. 50 students take the bus
3. The sectors add up to 360 students
A circle graph shows how 220 students get to school: bus 50%, walk 25%, car 25%. Which statement is true?
1. Twice as many students take the bus as walk
2. 50 students take the bus
3. The sectors add up to 360 students
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 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?
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)
$36$
$36$
Twice as many students take the bus as walk
$\frac{114}{5}$
$\frac{61}{2}$
The mean increases; the median stays about the same
$\frac{7}{2}$
Class B's scores are more spread out
$60$
$44$
$19$
The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately