
1) Let's find the standard deviation for this data set:

2) So, let's apply the formula for standard deviation:

3) Let's find the mean and compute the variance:

The sum of all entries is divided by the number of data points.
Now, for the variance:

Finally, we can take the square root of that variance to get the standard deviation:
