A measure of the spread of statistics functions is discussed in this article.
1. variance () : — this function calculates variance, i.e. a measure of data bias, the larger the variance value, the more scattered the data values . The sample variance is calculated in this function, assuming the data are for the population. If the passed argument is empty, StatisticsError is thrown.
2. pvariance () : — this function calculates the variance of the entire population . The data is interpreted as the entire population. If the passed argument is empty, StatisticsError is raised.

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 the passed argument is empty, StatisticsError is thrown.
4. pstdev () : — This function returns the standard deviation of a population of (square root of the population variance) of the data. If the passed argument is empty, StatisticsError is raised.

Output:
The standard deviation of data is: 0.816496580927726 The population standard deviation of data is: 0.7453559924999299
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