Answer:
![s=\sqrt{(\sum (x_(i) -\mu)^(2) )/(N-1) }](https://img.qammunity.org/2021/formulas/mathematics/college/ejswvlythmqtslgp12hecmisjbsddlevku.png)
Explanation:
In statistics, the standard deviation is a measure about the amount of variation of a dataset.
The variation is measured through comparison between each data and the mean of the dataset. This way, we could get a numerical information about how far are those values form the mean (which represents the central value).
The formula to find the standard deviation of a sample is
![s=\sqrt{(\sum (x_(i) -\mu)^(2) )/(N-1) }](https://img.qammunity.org/2021/formulas/mathematics/college/ejswvlythmqtslgp12hecmisjbsddlevku.png)
Where
is the sample mean and
is the total number of values there are.
In the formula you can notice the difference between each value (
) and the mean (
), That's why the standard deviation is commonly use to measure variation.
Therefore, the answer is
![s=\sqrt{(\sum (x_(i) -\mu)^(2) )/(N-1) }](https://img.qammunity.org/2021/formulas/mathematics/college/ejswvlythmqtslgp12hecmisjbsddlevku.png)