kruskal-wallis

Lean Six Sigma with Python — Kruskal Wallis Test

Bash Script to help statistical tests of Multi-Objective Evolutionary Algorithms.

writR: is an R package for automated inferential testing (for group differences) and reporting based on parametric assumptions, which are tested automatically for test selection.

CLI micro- and macro-benchmarking for Node, Deno, and Bun — hot loops, ms-scale operations, and whole commands — with nonparametric statistics and significance testing.

Easy statistical testing on the web

Statistical analysis comparing metal accumulation levels in three macroinvertebrate groups

Statistical Analysis for Bank Customer Data Using SAS Studio

[MATLAB] A toolbox containing the standard non-parametric tests used.

Some R and Python code I've been working on.

Data and code for experiment results analysis and visualisation (PET for students)

An Exploratory Data Analysis into the impact of pre-harvest growth factors in hydroponic farming

📉 Statistical Analysis

Code for 3rd year of the Conservation International and W&M Institute for Integrative Conservation collaborative Conservation Research Project concerning turbidity monitoring around Lake Alaotra, Madagascar.

Play bank data scientist and use regression discontinuity to see which debts are worth collecting.

This repository demonstrates how I used publicly available health data to clean, process, and analyze pertussis burden in infants under 1 year of age using statistical and trend analysis methods.

Production-grade Python EDA system — statistical analysis, fraud pattern detection, and board-ready HTML report generation for insurance claims data. Includes ANOVA, Kruskal-Wallis, exponential smoothing, and IQR anomaly detection.

Anova and Ancova with Kruskal-Wallis test to check the relationship between independent and dependent variables on bike rental history..

Como descrever meus dados? Quais testes estatísticos devo usar? Síntese dos testes estatísticos (introdutórios) que podem ser usados em uma análise de dados em saúde.

A Statistical Approach to determine the best type of App to develop

This project explores Yulu bike rental data to analyze user demand, seasonal trends, and environmental influences on ride volume. Additionally, hypothesis testing was performed to statistically validate key assumptions regarding rental patterns.