We introduce statistics for research – specifically geared towards the tools and analysis offered within ARM. We discuss analysis of variance, mean comparison tests, and the assumptions of AOV to watch out for. This lays the foundation for the various data management and analysis features that can be used in ARM.
If having troubles viewing the videos below, click here to view them on Screencast.com.
Part 1: Analysis of Variance (6:50)
Data Confirmation is important to catch outliers and issues with the assessment, before analysis.
The analysis of variance dissects the variability in the recorded assessments.
The AOV p-value is the probability that observed differences in treatment (or block) means could have arisen by chance.
Part 2: Mean Comparison Tests (3:34)
Mean Comparison tests compare treatment means to determine what differences are significant.
Tests can be classified by how liberal or conservative they are.
Part 3: Assumptions of AOV (4:18)
ANOVA has some requirements of the data that it is run on.
What can be done if these assumptions are not met?
Statistics and ARM Overview.pdf - Contains the script and screenshots from these 3 video tutorials (combined).
Statistics and ARM Overview.mp4 - A link to download the combined video file, which is saved on Screencast.com.