Performing multiple regression to predict fuel efficiency (MPG) on an energy-efficient car model

Hypothesis testing using T-test,ANOVA,chi-square test.

solving problems with data analysis, hypotheses and the most used statistical tests in ecology

Contains some Test of Statistics

I use R to statistically analyze survey data collected from 500 customers of a local prepared meal delivery service

Explore Python implementations of predictive modeling techniques like F-test, t-test, ANOVA, linear square estimation, autocorrelation, and least squares in this practical-driven GitHub repository

The main objectives of this project are Stacked Generalization (Stacking) and comparing models with ANOVA tests. To do that I classify if a person flying with an unnamed north american airline company is satisfied or neutral/dissatisfied with their flight.

Statistical Analysis on COVID-19 data to examine the statistical significance across the different regions.

Which variables are significant in predicting the demand for shared electric cycles in the Indian market and How well those variables describe the electric cycle demands

ANOVA_diamonds_analysis

Using data from the Professional Bowlers Association we analyze a dataset that includes the following bowlers from their list of 15 women bowlers: Stephanie Nation, Amanda Fagan, and Shannon O’Keefe. The dataset consist of 3 columns, Bowler, GameNum, Score.

An electronic news aggregator is testing new landing pages in an effort to halt a decline in new subscriber rates. This analysis details the engagement levels and conversion rates of the new pages.

Statistics and R: R, linear Regression, Multiple Linear Regression, t-test, Summary Statistics, Study Design, ANOVA test

What important conclusion a company and an employee can take out of Analysis and Predicting Salary

Anova ftest statistics.

I will use Excel to perform statistical analysis for the user study results in this project. Specifically, I will use the Real Statistics Resource Pack for performing the analysis.

Applied Statistics used for Machine Learning problems

This project concerns with Drug Analysis using ANOVA and Principal Component Analysis on College Admissions data

We performed some statistical analysis of Iris Dataset.