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Corrected a typo
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Aryan4884 authored Oct 28, 2023
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Expand Up @@ -39,7 +39,7 @@ I've put together a package of useful statistical functions.

These functions originally stemmed from my exploration of FIT files, which contain a wealth of data about sports activities. Within these files, you can find detailed information on metrics such as Heart Rate, Speed, Cadence, Power, and more. I developed these statistical functions to help gain deeper insights into the numerical data and performance of these sports activities.

The functions provided my this package, cover a range of measures, including mean, mode, median, range, quantiles, first quartile (25th percentile), third quartile (75th percentile), frequency tables (cumulative and relative), standard deviation (both for populations and samples), and variance (again for populations and samples).
The functions provided by this package, cover a range of measures, including mean, mode, median, range, quantiles, first quartile (25th percentile), third quartile (75th percentile), frequency tables (cumulative and relative), standard deviation (both for populations and samples), and variance (again for populations and samples).

> This package is inspired by the [Python statistics module](https://docs.python.org/3/library/statistics.html)
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