Projects in Awesome Lists tagged with p-values

https://github.com/michelenuijten/statcheck

A spellchecker for statistics

cran nhst p-values r reproducibility statistics

Last synced: 22 Oct 2025

https://github.com/greed2411/plinearregression

Scikit-Learn's linear regression extended with p-values.

hypothesis-testing p-values python3 regression scikit-learn

Last synced: 24 Aug 2025

https://github.com/agbarnett/intervals

Examining confidence intervals in abstracts

confidence-intervals p-values

Last synced: 25 Oct 2025

https://github.com/helske/statvis

Can visualization alleviate dichotomous thinking? Effects of visual representations on the cliff effect

bayesian-inference brms confidence-intervals p-values uncertainty-visualisation visualization

Last synced: 16 Feb 2026

https://github.com/saboye/predicting-sales-performance

project to predict smartphone sales based on the marketing budget spent on advertising using three platforms involves collecting data on marketing spending and smartphone sales, and using statistical and machine learning techniques to build a model that can predict future smartphone sales based on changes in marketing budget.

f-statistics linear-regression p-values python r-square r-squared

Last synced: 01 May 2026

https://github.com/patilsukanya/assignment-05.-multiple-linear-regression-q1

Used libraries and functions as follows:

cooks-distance correlation-analysis influence-plot leverage-score multiple-linear-regression ols ols-regression-model p-values pairplot python r-square-model regression-plots scatter-plot statsmodels

Last synced: 16 May 2026

https://github.com/lmizner/codecademy_analyze_data_python

hypothesis-testing matplotlib numpy p-values python sample-mean scipy standard-deviation statistics variance

Last synced: 04 May 2026

https://github.com/humburg/pvalue-distribution

A shiny app to visualise p-value distributions. Intended to facilitate the discussion of how to interpret p-values.

p-values shiny-apps statistics

Last synced: 08 Apr 2025

https://github.com/dmarks84/ind_project_european-soccer-top-points-contributors--kaggle

Independent Project - Kaggle Dataset-- I worked on the European Soccer Dataset, using SQL (SQLite) to read in the data and then data wrangling before running statistical analysis and hypothesis testing on questions of who helps earn the most points for their team.

data-wrangling hypothesis-testing numpy p-values pandas python scipy-stats statistics t-test