Data Science- Hypothesis Testing Using Minitab and R


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Course overview

Course type
Paid course
All Levels
4 hours
24 lessons
Available on completion
Course author
ExcelR Solutions
  • Formulate Null and alternative hypothesis statement; perform Hypothesis testing techniques for various output and input types; Have an understating of "Analysis of Variance"


Introduction to Hypothesis Testing, Performing Parametric and non parametric tests, Analysis of Variance

Data Science - Hypothesis Testing using Minitab, R is designed to cover majority of the capabilities from Analytics & Data Science perspective, which includes the following:

  • Learn how to formulate a hypothesis statements with business context
  • Preform 2 sample t test for continuous output with discrete inputs in 2 categories
  • Using ANOVA for continuous outputs with more than 2 discrete categories of inputs
  • Performing 2 – proportion test for discrete output and discrete inputs in 2 categories
  • The Chi – Square test for discrete outputs with multiple discrete inputs 
  • Introduction to Non Parametric tests like: Mann Whitney test, Paired T test, Moods median Test and Tukey pairwise comparisons  
  • Learn about Hypothesis testing techniques & how to accomplish the same using R and Minitab

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