MechaCar prototypes Collected summary statistics on the pounds per square inch (PSI) of the suspension coils from the manufacturing lots Ran t-tests to determine if the manufacturing lots are statistically different from the mean population Designed a statistical study to compare vehicle performance of the MechaCar vehicles against vehicles from…
Using R and statistics in RStudio to analyze different variables for review. Use the production data for insights that may help the manufacturing team. Perform multiple linear regression analysis to identify which variables in the dataset predict the mpg .
This repository contains R projects focused on statistical analysis, using techniques like EDA, Hypothesis Testing, ANOVA, Normalization, and Linear Regression. Each project includes datasets, R scripts, results (plots, tables), and a detailed README for insights and methodology.
Using R to review production data for factors affecting vehicle performance
Statistical Analysis with R - Summary Statistics, T-Tests, ANOVA
Simulation-based proofs (CLT, LLN, ...) & Statistical Tests (Difference in Means, Chi-Squared, ANOVA)
An R project that conducts a hypothesis test to analyze the validity of Robin Dunbar's claim that humans only have the capacity to keep track of a maximum of 150 people (Dunbar's Number) at a time. Through this project, Dunbar's hypothesis is investigated with the use of multiple t-tests conducted over a Facebook usage dataset.
Project in R Language, work on datasets performing Statistics analysis
Analysis of MechaCar dataset to establish relationships between features and miles per gallon(mpg) on a variety of cars. Various types of statistical analysis were performed using RStudio to establish potential relationships and the accuracy of each test respectively.
A statistical analysis of production data on a prototype vehicle using R.
R Shiny app for differential-expression analysis using T-test. The app is automatically deployed via GH Actions to shinyapp.io available as https://fuzzylife.shinyapps.io/diffExpr/
This project uses R for a statistical analysis of car data to predict performance using multiple metrics
This repository contains the R code done in the laboratories during the first course of statistical models.
Performing multiple regression to predict fuel efficiency (MPG) on an energy-efficient car model
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