Data Science- Hypothesis Testing Using Minitab and R

Data Science- Hypothesis Testing Using Minitab and R

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

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

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What you will learn

• Formulate Null and alternative hypothesis statement; perform Hypothesis testing techniques for various output and input types; Have an understating of "Analysis of Variance"

Rating: 4.05

Level: All Levels

Duration: 4 hours

Instructor: ExcelR Solutions