# Math|stat tasks

Here you can find statistic tasks, which can be usefull in econometric calculations

## Variance
- [ Rejection of the null hypothesis](Variance\Null_hypothesis_rejection.py) - calculate whether we reject the null hypothesis or not
- [Population variance](Variance\Population_variance.py) - the variance of the larger population function
- [Sample variance](Variance\sample_variance.py) - Sample variance function
- [Variance](Variance\Variance.py) - ccalculate the variance of list form

## Statistic tasks
- [Arithmetic mean](Statistic_tasks\Arithmetic_mean.py) - the arithmetic mean of a given set of values function
- [Greatest common divisor](Statistic_tasks\Greatest_common_divisor.py) - calculate the GSD
- [Least common multiple](Statistic_tasks\Least_common_multiple.py) - calculate the LCM
- [Median](Statistic_tasks/median.py) - the median function
- [Multiplication tables](Statistic_tasks\multiplication_tables.py) - multiplication tables in the form of a table of 2 horizontal and 2 vertical values
- [Number square root](Statistic_tasks\Number_square_root.py) -  the square root of the number function
- [Range](Statistic_tasks\range.py) - the function of mathematical range
- [Mean of numbers on a segment](Statistic_tasks\mean_of_nm_on_segment.py) - 
- [Standard deviation](Statistic_tasks\Standard_deviation.py) - calculate the standard deviation of list
- [Sum](Statistic_tasks\sum.py) - sum of integers