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welch-t-test

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A hub that contains notebooks that perform elementary descriptive statistics of populations and samples and demonstrates 3 hypothesis tests- Welch t-test, Correlation, and Chi-square test. It shows how to run them in python and understand the results

  • Updated Sep 18, 2021
  • Jupyter Notebook

A data-driven A/B testing project comparing website performance under Light and Dark themes. Analyzes user engagement metrics using statistical tests, correlation analysis, and predictive modeling to identify behavioral patterns and theme effectiveness. Built in Python using Jupyter Notebook with pandas, seaborn, and scikit-learn.

  • Updated May 9, 2025
  • Jupyter Notebook

This R script provides a fully automated framework for conducting independent-samples hypothesis tests to compare two groups on a continuous numeric outcome. It is designed for flexible reuse across datasets and projects in data science, human performance, and research.

  • Updated Sep 10, 2025
  • R

Survey-based marketing research analyzing whether sustainability-oriented advertising increases sustainable product choice using binomial test, Welch’s t-test, correlation, and linear regression in Python.

  • Updated Feb 24, 2026
  • Python

Timing side-channel analysis of leaky and constant-time STM32 quantum-control firmware using DWT cycle timing, Saleae PA0 pulse widths, TVLA/dudect-style Welch t-tests, effect size, mutual information, and attack success metrics.

  • Updated Jul 4, 2026
  • Jupyter Notebook

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