Standard Deviation

Last updated 5 years ago

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Standard Deviation is a measure of how spread out numbers are.

It is the square root of the . It is often more convenient than the variance because it has the same unit as the data points.

Population Standard Deviation, $\sigma=\sqrt{\frac{1}{n}}\sum_i^n(x_{i}-\mu)^2$

Sample Standard Deviation, $\sigma=\sqrt{\frac{1}{1-n}}\sum_i^n(x_{i}-\overline{x})^2$

Last updated 5 years ago

Was this helpful?

Standard Deviation is a measure of how spread out numbers are.

It is the square root of the . It is often more convenient than the variance because it has the same unit as the data points.

Population Standard Deviation, $\sigma=\sqrt{\frac{1}{n}}\sum_i^n(x_{i}-\mu)^2$

Sample Standard Deviation, $\sigma=\sqrt{\frac{1}{1-n}}\sum_i^n(x_{i}-\overline{x})^2$