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About the course

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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Multiple comparisons:

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  • Introduction

  • Distribution of the p-values

  • ​The Bonferroni correction

  • Permutation test

  • Controlling the False Discovery Rate

  • Detecting associations

  • A Monte Carlo simulation

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.

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