Course Information
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Course Overview
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
Course Content
- 3 section(s)
- 24 lecture(s)
- Section 1 Hypothesis Testing
- Section 2 Hypothesis Testing -Parametric Using Minitab
- Section 3 Hypothesis Testing -Non Parametric Using Minitab
What You’ll Learn
- Formulate Null and alternative hypothesis statement
- perform Hypothesis testing techniques for various output and input types
- Have an understating of "Analysis of Variance"
Skills covered in this course
Reviews
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SShinu Abraham
really a good one. Please support with more stat materials like this. excellent. please share your email if it is ok. Mine is shinuabraham100@gmail.com
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DDevyani Kalvit
This tutorial is incomplete. Many sections are missing - for example the last tutorial section after mood's median to compare the performance is missing! Can you please provide those?
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UUma Charan Maharatha
Concepts are explained very well. Its really helping me.
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JJavier Rosales
Explica muy bien, aunque a veces muy repetitivo en los ejemplos