Statistics 2
Objectives
- Recall that ANOVA (Analysis of Variance) tests for differences between the means of 2 or more groups
- Recognize the difference between one-way and two-ANOVA
- Explain the difference beween main effects and post-hoc tests
- Be able to perform ‘simple’ one-way and two-way tests
- Appricate that more sophisticated techniques (for example, repeated measures, linear mixed models, etc.) provide greater statistical power for certain experimental designs
Background
ANOVA is a statistical approach that tests for differences between groups. It is a commonly-used approach in many types of physiology but not it is not always well-understood. These videos try to explain, through examples, how the tests work and how to interpret them.
Accessing files
See GitHub for instructions on how to download the course material to your local computer.
The source files for this lecture are at <repo>/lectures/statistics_2
Other useful material
Core materials
- Lecture videos
- PowerPoint file
One-way ANOVA
A demo showing how to run a one-way ANOVA, where the ANOVA table comes from, and how to interpret the results.
Two-way ANOVA
A demo showing how to run an ANOVA with 2 factors. This video also introduces the concept of a statistical interaction.
Summary
Additional tips and useful advice on running hypothesis tests.