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.
Part 1: Introduction (2:45)
Contents
| 0:58 |
Research trials are performed to answer the question “are observed differences due to the treatments, or due to random chance?”
|
| 1:30 |
Data Confirmation is important to catch outliers and issues with the assessment, before analysis.
|
Part 2: AOV & Data Review (6:44)
Contents
| 0:17 |
AOV dissects the variability in observations.
|
| 1:19 |
The Assumptions of AOV must be reviewed before analysis occurs.
|
| 3:07 |
What happens if these assumptions are not met?
|
| 4:41 |
Let’s go through each calculation from the AOV output.
|
Part 3: Mean Comparison Tests (5:13)
Contents
| 0:24 |
Mean Comparison tests compare treatment means to determine what differences are significant.
|
| 1:18 |
Tests can be classified by how liberal or conservative they are.
|
| 3:01 |
A demonstration of how mean comparison calculations are performed.
|
Downloads
Statistics and ARM Overview.pdf - Contains the script and screenshots from these 3 video tutorials (combined).