R file that looks at standard error, confidence intervals, and t-tests in a data set.
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Updated
Oct 3, 2018 - R
R file that looks at standard error, confidence intervals, and t-tests in a data set.
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.
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
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
The logic I'm using to compare several optimization algorithms with different optimization parameters
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.
Statistical analysis of MechaCar vehicles and a study designed to compare the MechaCar vehicles to competitors.
Leverage linear regression and t-tests to provide analysis on MPG and suspension coil specs in R
Web App: Calculate Sequential Probability Ratio Tests without Programming Skills
Using R, this repository holds a statistical analysis that analyzes car production metrics across different manufacturing lots.
Statistics and R to boost prototype car performance
Perform linear regression and T-tests on vehicle data
Statistical analysis use R for the car manufacturing data
An automotive manufacturer's newest prototype has been suffering from production troubles. I offered to review the production data to identify insights that may help. Within that, several statistical analyses were performed in R, including a multiple linear regression analysis to determine which variables in the dataset can be used to most accur…
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