The poor English makes this almost unreadable. Please address to make this article useful.

— Preceding unsigned comment added by 130.63.39.82 (talk) 15:31, 27 October 2020 (UTC)[reply]

Good god, in the name of everything useful, would someone please define the variables?!

Antagonistrex 00:26, 26 February 2007 (UTC)[reply]

Under 0.05?

If I read the article right, if my results turns out to .02 for example, something is "wrong"? Ie. statistically significant? Is that correct? --194.255.112.22 21:38, 31 October 2007 (UTC)[reply]

Jason Crowthers example

I may be wrong, but isn't levenes test performed using a one way anova of the absolute residual values - not squared residuals? Sureley this will make a huge difference to the final p value. —Preceding unsigned comment added by 130.95.32.127 (talk) 04:48, 26 November 2007 (UTC)[reply]

Distribution

The text suggests that the test statistic W follows an F-distribution, although nowhere any assumption of normality has been made. So I guess W is only approximately F-distributed. Madyno (talk) 17:51, 9 May 2017 (UTC)[reply]

The current preference is to just use Welch's test

As the current article says, testing for homogeneity of variance first and using its results to determine whether to use the Student's t or the Welch-Satterthwaite modified t test will change the alpha from what the researcher selected. As demonstrated by Zimmerman (https://pubmed.ncbi.nlm.nih.gov/15171807/), the preferred approach now is to 1) not determine the test used based on an initial test for equal variances but also 2) to always use Welch's t test. You lose very little power, since in the case of equal variances Welch's t test reduces to the original Student's t, but in all cases Welch's test preserves the researchers selected alpha. I will change this article to reflect that. SteveOuellette (talk) 15:32, 3 April 2024 (UTC)[reply]