R file that looks at standard error, confidence intervals, and t-tests in a data set.

Data analysis using pandas, Matplotlib, Levene's test and T-test

These are my R statistical analysis codes.

Conduct Statistical Significance testing using ANOVA, MANOVA and T-Test in R programming language

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.

Analyzing the Zomato dataset to get a fair idea about the factors affecting the establishment of different types of restaurant at different places in Bengaluru and aggregate rating of each restaurant.

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…

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

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

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

AB Test for Matched Pairs Design

Standard Data Analysis Process / Data Wrangling/ Data Visualizations/ Trend Analysis

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

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.

The logic I'm using to compare several optimization algorithms with different optimization parameters

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.

Statisitical analysis with R

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.

Statistical analysis of a product prototype using R and tidyverse. Multiple linear regressions, statistical summaries, and t-tests are used for analysis and predictions. A study is also designed to compare this product to the competition.