Here are 10 test scores: 50, 74, 76, 77, 78, 79, 80, 80, 82, 84. The mean of these scores is 76. How does removing the outlier 50 affect the mean?
Recall how you calculate the mean of a set of data, you add up all of the different results, and divide by how many things you added, so what happens if you take a number out? well, 1) you don't add that number anymore 2) you divide by a different number since you took 1 result out of your data set so you just have to calculate the mean without that number (50) and see what happens to the mean
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The library design committee wants to know what people in the city think of a library design. Which sample of the population is least likely to show bias in a survey on this issue?
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