options: Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.

Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).

Represent data with plots on the real number line (dot plots, histograms, and box plots).

Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve.
problem_activity: Sam said that young people from the ages of 0 to 10 make up nearly one-third of the Kenyan population. Do you agree? Why or why not?
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How does this compare with the same age group in Boston?


correct_option_index: 0

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