Data Analysis 101 with RHypothesis Testing in R

Gain proficiency in hypothesis testing within the R environment. Learn to formulate, execute, and interpret various statistical tests to make data-driven decisions.

Assessing Impact on Meeting Hours with T-test in R

Adjusting Sample Mean to Test Hypotheses in R

Analyzing Team Efficiency with T-Tests in R

Determining Significance in Remote Working Hours with T-test

Comparing Website Interaction Times Using Mann-Whitney U Test in R

Interpreting the Mann-Whitney U Test in R

Adjusting Data for Significant Mann-Whitney U Test Results in R

Performing the Mann-Whitney U Test in R

One-way ANOVA Test for Apple Weights in R

Adjusting ANOVA Parameters to Achieve Statistical Significance

Analyze Apple Sweetness with One-way ANOVA in R

Chi-Square Test for Candy Color Preferences

Chi-Square Test for Unequal Candy Color Preferences

Calculating Expected Frequencies for Chi-Square Test in R

Chi-Square Test for Color Preferences