Introduction
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Statistics module
Exercise 1
Exercise 2
Exercise 3
Learn Data Structure & Algorithm
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In python, we get a build-in module to calculate numerical data of statistics. It provides a lot of functions
to perform statistics. Here we get functions from basic to advance.
Suppose need to calculate mean, median mode, standard deviation or correlation between two list, etc. We can
easily perform those by using statistics module.
| Methods | Description |
|---|---|
| statistics.median_grouped() | This method is used to calculate the median of grouped continuous data |
| statistics.median() | This method is used to calculate the median of the given data |
| statistics.stdev() | This method is used to calculates the standard deviation from a sample of data |
| statistics.variance() | This method is used to calculate the variance from a sample of data |
| statistics.pstdev() | This method is used to calculate the standard deviation from an entire population |
| statistics.harmonic_mean() | This method is used to calculate the harmonic mean of the given data |
| statistics.pvariance() | This method is used to calculate the variance of an entire population |
| statistics.median_high() | This method is used to calculate the high median of the given data |
| statistics.median_low() | This method is used to calculate the low median of the given data |
| statistics.mean() | This method is used to calculate the mean of the given data |
| statistics.mode() | This method is used to calculate the mode of the given numeric or nominal data |