Statistical Functions in Python | Set 1(Averages and Measure of Central Location)
Measure of spread functions of statistics are discussed in this article.
1. variance() :- This function calculates the variance i.e measure of deviation of data, more the value of variance, more the data values are spread. Sample variance is computed in this function, assuming data is of a part of population. If passed argument is empty, StatisticsError is raised.
2. pvariance() :- This function computes the variance of the entire population. The data is interpreted as it is of the whole population. If passed argument is empty, StatisticsError is raised.
# Python code to demonstrate the working of # variance() and pvariance() # importing statistics to handle statistical operations import statistics # initializing list li = [1.5, 2.5, 2.5, 3.5, 3.5, 3.5] # using variance to calculate variance of data print ("The variance of data is : ",end="") print (statistics.variance(li)) # using pvariance to calculate population variance of data print ("The population variance of data is : ",end="") print (statistics.pvariance(li)) |
Output:
The variance of data is : 0.6666666666666667 The population variance of data is : 0.5555555555555556
3. stdev() :- This function returns the standard deviation ( square root of sample variance ) of the data. If passed argument is empty, StatisticsError is raised.
4. pstdev() :- This function returns the population standard deviation ( square root of population variance ) of the data. If passed argument is empty, StatisticsError is raised.
# Python code to demonstrate the working of # stdev() and pstdev() # importing statistics to handle statistical operations import statistics # initializing list li = [1.5, 2.5, 2.5, 3.5, 3.5, 3.5] # using stdev to calculate standard deviation of data print ("The standard deviation of data is : ",end="") print (statistics.stdev(li)) # using pstdev to calculate population standard deviation of data print ("The population standard deviation of data is : ",end="") print (statistics.pstdev(li)) |
Output:
The standard deviation of data is : 0.816496580927726 The population standard deviation of data is : 0.7453559924999299
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