# Python Statistics Module

### Functions for Statistical Calculations:

`statistics.mean()`

: Calculates the arithmetic mean of a sequence of numbers.`statistics.median()`

: Calculates the median of a sequence of numbers.`statistics.mode()`

: Calculates the mode of a sequence of numbers.`statistics.stdev()`

: Calculates the standard deviation of a sample of numbers.`statistics.variance()`

: Calculates the variance of a sample of numbers.`statistics.harmonic_mean()`

: Calculates the harmonic mean of a sequence of numbers.`statistics.median_low()`

: Calculates the low median of a sequence of numbers.`statistics.median_high()`

: Calculates the high median of a sequence of numbers.`statistics.median_grouped()`

: Calculates the median of grouped continuous data.

### Additional Statistical Functions:

`statistics.pstdev()`

: Calculates the population standard deviation of a sample of numbers.`statistics.pvariance()`

: Calculates the population variance of a sample of numbers.`statistics.quantiles()`

: Calculates the specified quantiles of a sequence of numbers.`statistics.bisect_left()`

: Locates the insertion point for a value in a sorted sequence.`statistics.bisect_right()`

: Locates the insertion point after a value in a sorted sequence.

### Statistical Constants:

`statistics.StatisticalError`

: Exception raised for statistical errors.

### Example of Usage:

```
import statistics
data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
# Mean
mean_value = statistics.mean(data)
# Median
median_value = statistics.median(data)
# Mode
mode_value = statistics.mode(data)
# Standard Deviation
std_deviation = statistics.stdev(data)
# Variance
variance_value = statistics.variance(data)
# Harmonic Mean
harmonic_mean_value = statistics.harmonic_mean(data)
# Other statistical calculations can be performed similarly
```

These functions cover a wide range of statistical calculations, enabling users to perform various analyses on datasets efficiently using Python's `statistics`

module.