mann-whitney-u-test

This project implements in Python some common statistical analysis methods used in data analysis, including Entropy, Mutual Information, Kolmogorov–Smirnov test, Kullback-Leibler divergence (KLD), AB tests (Mann-Whitney U and t-tests)

A Deep Learning Framework for Visual Attention Prediction and Analysis of News Interfaces | 2025 IEEE Conference on Artificial Intelligence (CAI)

Perform ab testing on grocery website to check user interactions on the UI changes of the website

Analyzing Fater company's diaper market potential and enhancing revenue estimation for Naples stores: A Socio-Demographic, Territorial, and Points of Interest Perspective

This is the Future Work of my thesis in EV User Purchase Behavior Analysis done for my MSc work.

Food-delivery market-intelligence system built on 197,430 orders across 10 fields, answering 5 strategic questions on expansion, churn, and demand. Custom 0-100 City Expansion Opportunity Index and Restaurant Health Score, RFM analysis, ARIMA forecasting, and delivery via a 9-tab Streamlit dashboard, 20-sheet Excel report, and 6 Tableau extracts

Nonparametric test and R code

Data for publication on how juvenile house crickets adjust adult calling songs and aggressive behaviors based on developmental exposure to population density, potentially adopting alternative mating tactics to maximize success in varying social environments.

A collection of [very simple] projects focused on hypothesis testing.

> Statistical analysis of aromatase inhibitors using Python, RDKit, and ChEMBL. Includes Mann–Whitney U Tests on LogP, Molecular Weight, H-bond properties, and pIC50 with visualizations.

This repository demonstrates a complete data science workflow—from identifying data anomalies to deploying a validated predictive model. The core of the analysis centers on how Marketing Spend and Promotional Strategies interact to drive Daily Revenue.

Analisis Komparatif Positioning Harga Produk Elektronik: Studi Kasus Tokopedia dan Shopee

Hypothesis prioritization (ICE/RICE) and A/B test validation for Showz. Mann-Whitney U confirms an 18.95% conversion lift (P=0.007) — and correctly rejects an unvalidated revenue/AOV claim (P=0.822) the original analysis never tested. Python, Pandas, SciPy.

University statistics project (Fallstudien I) with reports, code, and analysis

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.

To evaluate different implementations of an in-app currency feature with ABC Analysis