The difference of the means is found and then compared to each of the mean absolute deviations. which is true? the difference between the mean times is about equal to the mean absolute deviation of the data sets. the difference between the mean times is about 2 times the mean absolute deviation of the data sets. the difference between the mean times is about 5 times the mean absolute deviation of the data sets. the difference between the mean times is about 16 times the mean absolute deviation of the data sets.

The difference in the means is the absolute difference between the mean of two groups. It explains how much difference that exists between the averages between two groups. Calculating mean difference is significant during clinical trials where we have the experimental group and the control group.

The mean absolute deviations is the variation of each data value from the mean. It tells us how the values in a set of data differ from the mean value. It explains the spread of values in a data set.

There is a relationship that exists between the difference of the means and the mean absolute deviations. The difference between the mean times is about 2 times the mean absolute deviation of the data sets.