Simulation and Modeling topics for lab.
Helper R scripts for multiple PERMANOVA tests, AICc script for PERMANOVA, etc.
Collection of Jupyter Notebooks covering fundamental concepts such as hypothesis testing, statistical power, and various tests for one or two samples, as well as variance. Most functions and test are written from scratch for educational purposes.
A F&B manager wants to determine whether there is any significant difference in the diameter of the cutlet between two units. A randomly selected sample of cutlets was collected from both units and measured? Analyze the data and draw inferences at 5% significance level. Please state the assumptions and tests that you carried out to check validit…
This repository contains introductory notebooks for basic hypothesis testing problems.
🎓 Tidy categorical tools for academics
A Post Hoc Analysis For Pearson's Chi-Squared Test For Count Data
Resources for the book "Chi-Squared Data Analysis and Model Testing for Beginners" by Carey Witkov and Keith Zengel, Oxford University Press, 2019.
This SAS-driven project analyzes 4 business scenarios: evaluating cosmetics sales training via hypothesis tests, modeling pub revenues for acquisitions using regression, forecasting age-based insurance claims with log transformations, and assessing loan delinquency by age groups through chi-square tests.
Data Wrangling and Data Storytelling
Conduct a 5-way AB Test on Montana State University Library's website, comparing the original "Interact" button with new versions ("Learn," "Help," "Connect," "Services") to boost user engagement.
Mining clickstream data to predict if a visitor will view another page or leave the website.
Python Statistical HealthCare Data Analysis
Hypothesis Testing
Hypothesis Testing and it's use in Machine Learning
Exploratory Data Analysis of Resume Names Dataset using R visualization packages
Implementation of Statistical Inference Concepts for learners.
Built ETL pipelines with Python, SQL, and dbt to clean and load churn data, cutting manual reporting by 40%. Standardized datasets using dbt and SQL for automated reporting and analytics. Performed statistical EDA using chi-square and t-tests to identify key churn drivers and developed a logistic regression model predicting churn with 80% accuracy
Online Gaming Case Study
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