Answer:
5.75
Explanation:
Given the data set below:

The formula for the standard deviation of a sample is given as:

First, find the mean of the data set.

Next, the deviation and squares are calculated below:
Therefore:

The standard deviation of the data set is 5.75 (rounded to the nearest hundredth).