Answer:
4.2328083664001
Step-by-step explanation:
standard deviation is the square root of the variance. It is one of the measures of dispersion, that is a measure of by how much the values in the data set are likely to differ from the mean
Standard deviation formulas
The formula for the standard deviation of a sample is:
$ s =\sqrt{\frac{1}{n-1} \sum_{i=1}^n (x_i-\bar{x})^2$
where n is the sample size and x-bar is the sample mean.
The formula for the standard deviation of an entire population is:
$ \sigma =\sqrt{\frac{1}{N} \sum_{i=1}^N (x_i-\mu)^2$
where N is the population size and μ is the population mean.