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wilcoxon-test

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Statistical analysis of 15 global airline stocks during COVID-19's two waves (2020) — using Spearman correlation, Wilcoxon Signed-Rank Test, and trend analysis in Excel to examine how adjusted close prices and trading volumes shifted between the panic and recovery phases.

  • Updated Apr 4, 2026

Frequency Table, Chi-Squared & ANOVA Test, KM Model, Median Time Comparison, Log-Rank & Wilcoxon Test, Tukey Multiple Comparison, Immortal Time Bias, Cox Model, Proportional Hazards Assumption Tests, Supremum Test for Functional Form. *NCDB data is publicly available. Team members: Kah Meng Soh, Dr. Lynette Smith, Dr. Sharma Smriti, Dr. Apar Ganti.

  • Updated Mar 5, 2026

This project explores how we can predict whether a student is likely to graduate, drop out, or stay enrolled . We used powerful ensemble learning models like XGBoost, AdaBoost, and CatBoost and fine tuned them to get the best results. To make sure our improvements were real , we ran hypothesis tests and the Wilcoxon signed-rank test.

  • Updated Aug 14, 2025
  • Jupyter Notebook

The salary dataset contains info on 474 Midwestern bank employees. Tasks include understanding the dataset's structure, summarizing numerical variables, testing hypotheses on salary equality, gender-based differences, age group analysis, and proportion comparison.

  • Updated Apr 15, 2024
  • R

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