Applying variance & pvariance Functions of statistics Module in Python (2 Examples)
In this Python tutorial you’ll learn how to apply the pvariance and variance functions of the statistics module.
Creation of Example Data
x = [1, 3, 3, 7, 1, 3, 5, 1, 2, 2, 1, 2, 1, 3, 1, 7] # Constructing a list in Python print(x) # Displaying the example list # [1, 3, 3, 7, 1, 3, 5, 1, 2, 2, 1, 2, 1, 3, 1, 7] |
x = [1, 3, 3, 7, 1, 3, 5, 1, 2, 2, 1, 2, 1, 3, 1, 7] # Constructing a list in Python print(x) # Displaying the example list # [1, 3, 3, 7, 1, 3, 5, 1, 2, 2, 1, 2, 1, 3, 1, 7]
Example 1: How to Apply the variance() Function of the statistics Module to Calculate the Sample Variance
import statistics # Load statistics |
import statistics # Load statistics
print(statistics.variance(x)) # Sample Variance # 4.095833333333333 |
print(statistics.variance(x)) # Sample Variance # 4.095833333333333
Example 2: How to Apply the pvariance() Function of the statistics Module to Calculate the Population Variance
print(statistics.pvariance(x)) # Population Variance # 3.83984375 |
print(statistics.pvariance(x)) # Population Variance # 3.83984375