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# Standard Deviation and Variance

Unsolved###### Prob. and Stats

##### Problem reported in interviews at

The

**Standard Deviation**is a measure of how spread out numbers are. In statistical analysis, standard deviation plays an important role. It can be computed using below given formula.

\(\sigma =\sqrt{\frac{1}{N}\sum_{i=1}^{N}(X_i-\mu)^2}\)

**Variance** can be defined as the average of the squared differences from the Mean. It can be calculated using below given formula.

\(\sigma^2 =\frac{1}{N}\sum_{i=1}^{N}(X_i-\mu)^2\)

**Input:**

Our function will take 1D NumPy Array and computes standard deviation and variance using array given in input.

**Output:**

This function will return a list having length 2 which contains Standard Deviation and Variance in their corresponding place.

##### Sample Input:

`arr: [array([8, 8, 3, 7, 7, 0, 4])]`

##### Expected Output:

`[2.813959371941744, 7.918367346938775]`

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Input Test Case

Please enter only one test case at a timenumpy has been already imported as np (import numpy as np)