Hi, Typical things you read when new to stats are cautions about using a t-statistic when comparing independent samples. You are steered toward a pooled test or welch's approximation of the degrees of freedom in order to make the distribution a t-distribution. However, most texts give no information why you have to do this.
So I thought I try a little experiment which is outlined here. Distrubtion of differences of independent samples <http://msemac.redwoods.edu/~darnold/math15/R/chapter11/DistributionForTwoIndependentSamplesPartII.html> As you can see in the above link, I see no evidence why you need a pooled or Welch's in these images. Anyone care to comment? Or should I put this on Stack Exchange? D. -- View this message in context: http://r.789695.n4.nabble.com/t-statistic-for-independent-samples-tp4664553.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
