#    
## Overview
The **`statistics.variance()`** **method** in Python is used to return the variance of a sample of given data.

This method is unlike the **`statistics.pvariance()`** **method**, which calculates the variance of an entire population.

**Variance** is the sum of the squared distances of each term distribution from the mean of the data, divided by the number of observations, is shown below:



$$S^2 = \frac{\sum (x_i - \bar{x})^2}{n - 1}$$

Where:

$S^{2}$ = variance

$xi$ = value of one observation

$x$ = the mean value of the data

$n$ = the number of observations

#   
#  Syntax
```
statistics.variance(data, xbar)
```
#    
#  Parameter value
|Parameter|Value|
|:----|:----|
|``data``|It is required with real-valued numbers. It can be a list, a sequence, or an iterator.|
|``xbar``|It is required and iterable with real-valued numbers. It can be a list or a sequence.
|
#    
## Return value
The ``statistics.variance()`` method returns a float value, which represents the variance of the given data.

##   
## Example
Let's use the ``statistics.variance()`` method to calculate the variance for the given data.
## 
## Code

import statistics

# creating a data set
data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
# to obtain the variance 
the_variance = statistics.variance(data)
print('The variance is', the_variance)


#    
## Explanation
* **Line 1:** We import the ``statistics`` module.
* **Line 4:** We create a data set called ``data``.
* **Line 6:** We use the ``statistics.variance()`` method to obtain the variance of the ``data`` and assign the value to another variable, `` the_variance``.
* **Line 7:** We print `the_variance`, which contains the variance of the given data.


What is the statistics variance() method in Python?

Calculates the variance of a sample dataset using statistics.variance() method, differing from statistics.pvariance() meant for entire populations.

Parameter	Value
`data`	It is required with real-valued numbers. It can be a list, a sequence, or an iterator.
`xbar`	It is required and iterable with real-valued numbers. It can be a list or a sequence.