https://github.com/easystats/parameters

:bar_chart: Computation and processing of models' parameters

beta bootstrap ci confidence-intervals data-reduction easystats fa feature-extraction feature-reduction hacktoberfest parameters pca pvalues r r-package regression-models robust-statistics standardize standardized-estimates statistical-models

Last synced: 14 May 2025

https://github.com/juliangehring/multipletesting.jl

The MultipleTesting package offers common algorithms for p-value adjustment and combination and more…

julia multiple-testing pvalues statistics

Last synced: 19 Feb 2026

https://github.com/vasilikizarkadoula/data-analysis-auth-2020

Εxercises for Data Analysis course in Faculty of Engineering of Aristotle's University of Thessaloniki

confidence-intervals correlation-coefficient data-analysis dimensionality-reduction hypothesis-testing probability-distribution pvalues regression uncertainty

Last synced: 25 Jul 2025

https://github.com/stataziz/email-sign-up-optimization--ab-testing-with-python

This project is about conducting an A/B test for CityFit, where we compare the impact of two different submit button colors on increasing email sign-ups for an upcoming eCommerce launch.

ab-testing chisquare-test confidential hypothesis pvalues python ttest

Last synced: 25 Apr 2026

https://github.com/prash030/table1_baseline-characteristics

This repository contains a python notebook that creates Table-1: baseline characteristics with p-values comparing two groups. Greatly helpful for clinical and biological studies. Can be used for manuscipts.

baseline-characteristics biological-data-analysis clinical-research compare-groups demographics-table ipynb-notebook ipython-notebook pvalues python research research-paper table-1 table1 tableone

Last synced: 05 Mar 2026

https://github.com/mr-chang95/london-crime-hypothesis-testing

crime-data data-analysis data-analytics data-visualization hypothesis-testing london pvalues

Last synced: 21 Mar 2025

https://github.com/compcode1/nfl-analysis

The objective of this analysis was to explore potential correlations between player attributes (such as average age and weight across different positions) and key team performance metrics from the 2023 NFL season.

datacleaning datanormalization numpy pandas pearson-correlation-coefficient pvalues

Last synced: 18 Apr 2026