1-Way Analysis Of Variance (ANOVA)

The ANOVA makes a general statement about whether or not there are significant differences between the data groups. Once the result is positive (p < 0.05), you need to employ additional tests to find out which of the multiple comparisons that are possible for your data set are significant. So-called posthoc tests perform multiple comparisons of a set of several data groups.


This is a companion discussion topic for the original entry at https://www.xltoolbox.net/anova.html?help=6.53

Hi!
I tried to find the explanation but couldn’t find it anywhere, so I’m asking this here.

  1. When I do 1-way ANOVA and Bonferroni-Holm posthoc test I get the statistical significance. But how can I interpret the report? I want to know if the significance I get is also for p<0,01 or p<0,001.

Click on “Report” to get a detailed report.

Given these data:

VirtualBox_Win10_12_05_2019_17_11_09

I get this report:

Which contains the P values for the Bonferroni-Holm tests in the last three rows.

Please let me know if this is not what you were looking for.

Best,

Daniel