Statisitical analysis with R

Linear regression, summary statistics and t-tests to analyze manufacturing specs and decide if adjustment is needed.

Using R to design a linear model that predicts mpg and perform t-tests on suspension coils

Leverage linear regression and t-tests to provide analysis on MPG and suspension coil specs in R

Linear Discriminant Analysis ~ a dimensionality reduction as well as a classification technique — with applications in document understanding

SAS Professional Certificate in Statistical Business Analyst using SAS

This repository Includes Data Analysis of Engineering Colleges of India, Data Analysis of a Sports Facility using SQL, Data Analysis of Financial market Data using Quandle API. Skills used in this project are Requests Library, Data wrangling, Data Analysis of GSS(Global Social Survey) dataset using R and Hypothesis Test(Chi - Squared Test) and D…

Using R and RSudio to perform statistical analysis

Recommendations on which characteristics are most important for determining whether a customer has a favourable perception of the microvan concept, to segment the market, and to determine which segment(s) would be good to target based on the analysis of data.

These are my R statistical analysis codes.

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.

Guide to T-testing using R. Python will be included in future updates

This repository has been created to link my statistical testing assignments and independent studies for Thinkful as I navigate thru the Data Analytics Immersion program from October 2020 - January 2021.

Capstone 2 for Thinkful's Data Analytics Program. Statistical analysis of variables that may impact a vehicles fuel economy.

Multiple Linear Regression to determine what quantifies miles per gallon from this dataset. Followed by various statistical testing.

Analysis on MechaCar data to help the manufacturing team, using R to run multiple linear regression, summary statistics, and t-tests.

Fictional company AutosRUs’ newest prototype, the MechaCar, is suffering from production troubles that are blocking the manufacturing team’s progress. AutosRUs’ senior management enlisted assistance from the data analytics team to review the production data for insights that may help the manufacturing team overcome their production issues.

The repository covers some of the key concepts of Inferential Statistics with the help of R.

Perform linear regression and T-tests on vehicle data

This project explores the data of medical insurance claims. Descriptive Analysis, Exploratory data analysis, Univariate, Bivariate and multivariate analysis is performed to explore the data and how different features are correlated to each other. Finally, hypothesis testing is performed by employing t-test, Chi-squared test and One-way ANOVA.