Statisitical analysis with R
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Updated
Mar 15, 2021 - R
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
Using R and RSudio to perform statistical analysis
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.
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.
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.
Web App: Calculate Sequential Probability Ratio Tests without Programming Skills
Perform linear regression and T-tests on vehicle data
Performing Statistical Tests and Analysis in R
The logic I'm using to compare several optimization algorithms with different optimization parameters
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.
Using R and RStudio to perform statistical analysis
Statistics and R to boost prototype car performance
Performed a statistical analysis with t-tests and linear regression in R and R Studio on data taken from car design specs to determine if there were any differences between the cars in performance that were statistically significant.
Statistical analysis of MechaCar vehicles and a study designed to compare the MechaCar vehicles to competitors.
An analysis of the production data of a prototype car using R Programming Language.
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