Python statistics.pvariance() Method

Example

Calculate the variance of an entire population:

# Import statistics Library
import statistics

# Calculate the variance of an entire population
print(statistics.pvariance([1, 3, 5, 7, 9, 11]))
print(statistics.pvariance([2, 2.5, 1.25, 3.1, 1.75, 2.8]))
print(statistics.pvariance([-11, 5.5, -3.4, 7.1]))
print(statistics.pvariance([1, 30, 50, 100]))

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Definition and Usage

The statistics.pvariance() method calculates the variance of an entire population.

A large variance indicates that the data is spread out, - a small variance indicates that the data is clustered closely around the mean.

Tip: To calculate the variance from a sample of data, look at the statistics.variance() method.

Syntax

statistics.pvariance(data, xbar)

Parameter Values

Parameter	Description
data	Required. The data values to be used (can be any sequence, list or iterator)
xbar	Optional. The mean of the given data (can also be a second moment around a point that is not the mean). If omitted (or set to None), the mean is automatically calculated

Note: If data is empty, it returns a StatisticsError.

Technical Details

Return Value:	A `float` value, representing the population variance of the given data
Python Version:	3.4

❮ Statistic Methods