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mainly for stats methods 2. anything python stats / ml that i code goes here

Python 17.92% Jupyter Notebook 82.08%
confidence learning machine statistics stats hypothesis idk math school testing

pystats's Introduction

making my life easier

support for:

  • mean confidence interval
  • variance confidence interval
  • 1 sample t test
  • 2 sample t test (welch test)
  • csv to 2d list conversion (for compatability with the library)
  • one-way anova
  • pairwise comparison

please make sure you have the following libraries installed:

  • matplotlib
  • numpy
  • scipy
  • pandas
  • statsmodels

adding support for paired t test and optional graphs

feel free to clone n contribute. im still new to python in general.

if you contribute, make sure that a function has support for both raw data and summary statistics.

also adheres to the naming convention of the functions, as well as the style of output.

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