# Python statistics module

The Python statistics module provides a variety of statistical functions for data analysis. Here are some of the functions provided by the module:

1. mean(): This function returns the arithmetic mean of a list of numbers.
2. median(): This function returns the median value of a list of numbers.
3. mode(): This function returns the mode value of a list of numbers.
4. stdev(): This function returns the standard deviation of a list of numbers.
5. variance(): This function returns the variance of a list of numbers.
6. harmonic_mean(): This function returns the harmonic mean of a list of numbers.
7. median_low(): This function returns the low median value of a list of numbers.
8. median_high(): This function returns the high median value of a list of numbers.
9. quantiles(): This function returns a list of quantiles of a list of numbers.
10. pstdev(): This function returns the population standard deviation of a list of numbers.
11. pvariance(): This function returns the population variance of a list of numbers.

Here is an example of how to use the mean() function:

```import statistics

numbers = [1, 2, 3, 4, 5]
mean = statistics.mean(numbers)
print(mean)
```

Output:

```3
```

Similarly, you can use other functions of the statistics module for data analysis.