Hey guys,

We know that **variance is just the square of standard deviation**. Then why the use of having **two metrics** in statistics?

Also, where do we use SD and Variance? What insights do they help infer from the data?

Thanks

Sanad

Hey guys,

We know that **variance is just the square of standard deviation**. Then why the use of having **two metrics** in statistics?

Also, where do we use SD and Variance? What insights do they help infer from the data?

Thanks

Sanad

The variance of a data set measures the mathematical dispersion of the given data relative to the average. Nevertheless, despite this value is theoretically correct, it is very difficult to implement in a real-world case since the values used to compute it have been squared. The SD, as the square root of the variance gives a value that is in the same units as the original values, which makes it much more easier to work with and easy to interpret.

I hope this helps.