Comprehensive Statistical and Multivariate Analysis through Principal Component and Factor Analysis methods using SAS. Applied estimation, hypothesis testing, and dimension reduction techniques as parts of this study.

Wine dataset statistical analysis using Hypothesis testing (F-test, T-test, ANOVA, ANCOVA). Using machine learning to predict wine quality. Using regularization with 10 fold cross validation to overcome overfitting. Created different visualizations on the dataset.

Hypothesis Testing - a/b Testing - Data Visualization - Statistical Inference

Power Outage Analysis

A analysis of the gender pay data across Scottish companies

Study project for practice of A/B testing for students of Data Analyst nanodegree by Udacity. Statistical tests were performed in order to decide if company should implement new design of website.

All my R code used for statistical analyses - Hypothesis Testing, t-tests, etc.

2nd Project for the Post Graduate Programme in Data Science and Business Analytics at the University of Texas at Austin - Hypothesis Testing

Lecture Note

This repo contains code, a presentation, and a project report regarding suicide rates in the US from 1985 - 2015

Program Evaluation with Non-Parametric Statistics and Hypothesis Testing

Udacity DAND Project: Test a perceptual phenomenon, analyzing the Stroop Effect comparing the statically significant difference between groups exposed in different aspects of the Stroop effect using inferential statistics

This project was done as a part of Udacity's Data Analyst Nanodegree program in which AB-Testing is performed for the users under treatment and control groups to predict whether changes should be done for an website or it is ideal to keep the existing one, based on the performance of old and new pages. Hypothesis testing, z-test, and Logistic Re…

Projects for Data Analyst Nanodegree with Udacity

This repository has some basic concepts of applied statistics implemented in R.

This repository contains my Inferential Statistics project completed during my university course. It includes the dataset, R code, and detailed analysis showcasing the comparison of climbing route grades for men and women. The project highlights my skills in data visualization, statistical analysis, and hypothesis testing.

Report on analysis of A/B Test run by an e-commerce website to test their new web page