One-variable data: distributions and measures covers mean, median, mode, range and standard deviation, shown in lists, dot plots, histograms or frequency tables.
Conceptual questions are frequent here. Adding the same number to every value shifts the mean and median but leaves the standard deviation and range unchanged, since the spread stays the same. Removing an outlier far above the rest lowers the mean noticeably while barely moving the median.
Combining two groups of different sizes calls for a weighted mean, where each group's average counts in proportion to how many members it has, rather than a simple average of the two means.
Sample questions
Pick an answer to see whether it is right — nothing is saved, and nothing needs an account.
Question 1Mid
Seven is added to every value in a data set. Which of the following is true about the standard deviation of the data set?
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Answer: B — It stays the same.
Adding the same constant to every value shifts the data without changing its spread.
Question 2Mid
4,6,7,8,25
If 25 is removed from the data shown, what happens to the mean and median?
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Answer: B — The mean decreases, and the median decreases.
Removing the high outlier lowers the mean; the median changes from 7 to (6+7)/2=6.5.
Question 3Mid
A researcher measured the wingspans of 150 bats from Cave R and 50 bats from Cave S. The mean wingspan of the 150 bats from Cave R was 28 centimeters, and the mean wingspan of the 50 bats from Cave S was 34 centimeters. What was the mean wingspan, in centimeters, of all 200 bats the researcher measured?
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Answer: B — 29.5
Combined mean =200150(28)+50(34)=2004,200+1,700=2005,900=29.5.
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