32 lines
1.8 KiB
Markdown
32 lines
1.8 KiB
Markdown
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# Math folder
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Here you can find useful programs, functions and ready-made solutions for various mathematical operations
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## Math ordinary tasks
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***
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Here you can find math tasks, which i did for myself
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- [Overpayment](ord_tasks/overpayment.py) - calculation of loan overpayment
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## Math|stat tasks
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Here you can find statistic tasks, which can be usefull in econometric calculations
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### Variance
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- [ Rejection of the null hypothesis](statistic/Variance/Null_hypothesis_rejection.py) - calculate whether we reject the null hypothesis or not
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- [Population variance](statistic/Variance/Population_variance.py) - the variance of the larger population function
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- [Sample variance](statistic/Variance/sample_variance.py) - Sample variance function
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- [Variance](statistic/Variance/Variance.py) - calculate the variance of list form
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### Statistic tasks
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- [Arithmetic mean](statistic/Statistic_tasks/Arithmetic_mean.py) - the arithmetic mean of a given set of values function
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- [Greatest common divisor](statistic/Statistic_tasks/Greatest_common_divisor.py) - calculate the GSD
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- [Least common multiple](statistic/Statistic_tasks/Least_common_multiple.py) - calculate the LCM
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- [Median](statistic/Statistic_tasks/median.py) - the median function
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- [Multiplication tables](statistic/Statistic_tasks/multiplication_tables.py) - multiplication tables in the form of a table of 2 horizontal and 2 vertical values
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- [Number square root](statistic/Statistic_tasks/Number_square_root.py) - the square root of the number function
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- [Range](statistic/Statistic_tasks/range.py) - the function of mathematical range
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- [Mean of numbers on a segment](statistic/Statistic_tasks/mean_of_nm_on_segment.py) -
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- [Standard deviation](statistic/Statistic_tasks/Standard_deviation.py) - calculate the standard deviation of list
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- [Sum](statistic/Statistic_tasks/sum.py) - sum of integers
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