**Sample variance** is the measure of the variability in a given sample. A sample is a set of observations that are a subset of a population.

## Sample Variance Formula

The following is the formula for sample variance.

\[ s^2=\frac{\sum_{i=1}^n (x_i-\bar{x})^2}{n-1} \]

where,

- \( n \) is the number of observations in the sample.
- \( x_i \) is the i
^{th}observation. - \(\bar{x} \) is the mean of the obervations.

## Data Example

The following is a sample of 6 students with math scores.

## Calculating sample variance by hand

### Step 1: the mean

The following calculates the mean of the sample. The numerator is the sum of all observations, and the denominator is the number of the sample.

\( \bar{x} = \frac{80+90+81+82+78+71}{6} = 80.33 \)

### Step 2: sample variance

The following is to calculate the sample variance. Note that, the denominator is 6-1, rather than 6.

\( s^2=\frac{(80-80.33)^2+(90-80.33)^2+(81-80.33)^2+(82-80.33)^2+(78-80.33)^2+(71-80.33)^2}{6-1} = 37.87 \)