The analysis uses R language to run a multiple linear regression, t-tests, and generate summary statistics, in order to aid an automotive company in identifying the production troubles that are hindering the manufacture of a prototype car of theirs.

A statistical analysis of vehicle production using R

Statistical analysis of vehicle production metrics 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.

Perform linear regression and T-tests on vehicle data

Function that provides a summary statistics for numeric/factor/character columns

Statistics and R to boost prototype car performance

whiteRRabbit: An R-based data profiling tool for efficiently scanning large CSV/TSV files to generate comprehensive summary statistics and data quality metrics, inspired by OHDSI WhiteRabbit.

A stastical analysis report using R.

Statistics and R

R-Basics2 homework

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.

Car dealership technical assessment using R Tools for summary statistics, linear regression, p-values and r-squared values. Design of statistical study to compare performance against competition.

Inhomogeneous higher-order summary statistics for point processes on linear networks

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

Conducted statistical analysis on MechaCar, a new prototype suffering from production troubles, data to provide insights that may help the manufacturing team.

Analysis to car prototype data to fit a regression model to predict MPG.

Anova Testing using R

Statistical analysis of vehicle production metrics with R

The salary dataset contains info on 474 Midwestern bank employees. Tasks include understanding the dataset's structure, summarizing numerical variables, testing hypotheses on salary equality, gender-based differences, age group analysis, and proportion comparison.