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

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

**Variance** is the sum of the squared distances of each term distributed from the mean of the data divided by the number of observations. It is given by:

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

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* $S^{2}$ = Variance
* $x_i$ = The value of one observation
* $\bar{x}$ = The mean value of the data
* $n$ = The number of observations

#     
#  Syntax
```Python
statistics.pvariance(data, xbar)
```
##    
## Parameters

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#     
#  Return value
``statistics.pvariance()`` method returns a float value that represents the population variance of a given data.

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


import statistics

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


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


What is the statistics.pvariance() method in Python?

The statistics.pvariance() method in Python is used to return the population variance of a given data. This method is unlike the statistics.variance() method, which calculates the  variance of a sample of data. Instead, the statistics.pvariance() method calculates the variance of an entire population. Variance is the sum of the squared distances of each term distributed from the mean of the data divided by the number of observations. It is given by:  S2=∑(xi−xˉ)2n−1\Large S^2=\frac{\sum(x_i-\bar{x})^2}{n-1}S2=n−1∑(xi​−xˉ)2​ 

Parameter	Value
`data`	This is required. It is the data to be used. It can be a list, a sequence, or iterator
`xbar`	This is optional. It is the mean of the data provided. If the value is not provided Python calculates the mean of the data by default.