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practica/math/statistic/README.md

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 Here you can find statistic tasks, which can be usefull in econometric calculations
 
 ## Variance
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+- [ 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/tArithmetic_mean.py) - the arithmetic mean of a given set of values formula
-- [Greatest common divisor](Greatest_common_divisor.py) - calculate the GSD
-- [Least common multiple](Least_common_multiple.py) - calculate the LCM
-- [Median](median.py) - the median formula
-- [Multiplication tables](multiplication_tables.py) - multiplication tables in the form of a table of 2 horizontal and 2 vertical values
-- [Number square root](Number_square_root.py) -  the square root of the number formula
-- [Range](range.py) - the formula of mathematical range
-- [Mean of numbers on a segment](mean_of_nm_on_segment.py) - 
-- [Standard deviation](Standard_deviation.py) - calculate the standard deviation of list
-- [Sum](sum.py)  
+- [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
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