From 64950f0dd53e45b2ccd65753caf2cfc7999be2ad Mon Sep 17 00:00:00 2001 From: Yesen Date: Thu, 5 Oct 2023 18:19:14 +0300 Subject: [PATCH] add fix --- practica/math/README.md | 31 +++++++++++++++++++++++++++++++ 1 file changed, 31 insertions(+) diff --git a/practica/math/README.md b/practica/math/README.md index e69de29..574dc92 100644 --- a/practica/math/README.md +++ b/practica/math/README.md @@ -0,0 +1,31 @@ + +# Math folder +Here you can find useful programs, functions and ready-made solutions for various mathematical operations + +## Math ordinary tasks +*** +Here you can find math tasks, which i did for myself + +- [Overpayment](overpayment.py) - calculation of loan overpayment + +## 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