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BIO-449: Understanding statistics and experimental design

Summary

This course is neither an introduction to the mathematics of statistics nor an introduction to a statistics program such as R. The aim of the course is to understand statistics from its experimental design and to avoid common pitfalls of statistical reasoning. There is space to discuss ongoing work.

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/understanding-statistics-and-experimental-design-BIO-449

Moodle Page

http://go.epfl.ch/BIO-449

About this result

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Summary

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/understanding-statistics-and-experimental-design-BIO-449

Moodle Page

http://go.epfl.ch/BIO-449

About this result

Lectures in this course (13)

Bayesian Inference: Optimal Decisions

Explores Bayesian inference for optimal decision-making in hypothesis testing scenarios.

Understanding Statistics & Experimental Design

Emphasizes the critical importance of understanding statistics to avoid errors in research and decision-making, using motivating examples and practical exercises.

Understanding Statistics & Experimental Design

Explores unequal variances, replication, power, effect size, biases, and their impact on research outcomes.

Red Influence: Attractiveness, Desirability, and Status

Explores the effects of red on attractiveness, desirability, and status, emphasizing statistical analysis and the challenges of replication and publication bias.

Scientific Method Misunderstandings

Explores the misconceptions in scientific studies, emphasizing caution in statistical reasoning and the importance of pre-registration in experiments.

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