A new alpha update for ROIstat has been released!
You can download it here:
New for this release:
- Added the ability to use factor-style data, where one or more columns designate factors and one or more columns the data.
- A quality-of-life improvement highlighting the p-values for normality tests in grey if they are greater than α or in yellow if they are below α.
For example, perhaps you have data that looks like this:
Plastic Mold | Pull Force |
1 | 2.5 |
1 | 2.0 |
1 | 1.6 |
1 | 1.2 |
1 | 1.4 |
1 | 1.3 |
1 | 1.7 |
1 | 1.9 |
1 | 1.8 |
1 | 2.3 |
1 | 2 |
1 | 1.7 |
1 | 1.8 |
1 | 1.6 |
1 | 1.5 |
1 | 1.8 |
1 | 2.1 |
1 | 1.7 |
1 | 1.8 |
1 | 1.4 |
1 | 1.8 |
1 | 1.9 |
1 |
1.0 |
1 | 1.9 |
1 | 1.6 |
2 | 1.3 |
2 | 2.2 |
2 | 1.9 |
2 | 1.9 |
2 | 2.5 |
2 | 2.7 |
2 | 2.3 |
2 | 1.3 |
2 | 1.5 |
2 | 1.8 |
2 | 1.8 |
2 | 1.7 |
2 | 1.9 |
2 | 2.0 |
2 | 2.0 |
2 | 1.8 |
2 | 1.9 |
2 | 2.5 |
2 | 1.7 |
2 | 2.1 |
2 | 2.1 |
2 | 1.6 |
2 | 1.7 |
2 | 1.5 |
2 | 2.2 |
And you want to test the output of two plastic molds for normality or compare the means of the two molds. You can now set this up in ROIstat!
See how in the video below.