The mean and median are both measures used to summarize a data set with a single number. While called measures of "center", they are better thought of as ways to represent a typical measurement in the data. The median is better used when data has outliers, while the mean is better for symmetrical distributions without outliers skewing the average.

1. 8) Even though statisticians call the mean and median measure of "center", it might be less
confusing to think of the mean and the median as ways to summarize a distribution with a single
number. In other words, the mean and the median are ways to represent a "typical "measurement
in a data set. When do you think is it better to use the median and when it is it better to use the
mean to summarize a distribution?