Basic concepts in statistical inference
using R

This course presents the basic concepts of  hypothesis testing for single comparison & multiple comparisons. 
The course is based on an  online  course which was developed by Marc Lavielle within his initiative statistics in action with R  (http://sia.webpopix.org/).

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The course structure:

 

Single comparison

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•  Introduction

• Student’s t-test

• One sample t-test

• One sided test

• Two sided test

• Confidence interval for the mean

• Two samples t-test

• Mann-Whitney-Wilcoxon test

• The limited role of the p-value

•  Equivalence tests

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General information about the course

 

Course materials include:

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• Slides for classes (in PDF format).

• PowerPoint file for the slides (only single comparison).

• R programs for the course.

• Online tutorial and YouTube materials.

 

As a student in the course, you can use the slides, R programs and online materials:

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• Click on the button Topics. This will take you to a page with the slides and online books that cover all topics in the course.

• Online tutorials and YouTube tutorials clink on the button Online Tutorials.

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As a teachers, you can modify the PowerPoint file and develop your own course.