Hi, In my reading of pairing means of two independent samples, I read statements such as the standard error of the meanof X1 minus the mean of X2 is the square root of s1^2/n1+s2^2/n2. Then I read:
"We could now derive the two independent samples confidence interval and test statistic. However, a problem arises in that the distribution of the test statistic (under the null hypothesis) will not be a t-distribution." I keep seeing this type of thing stated in a variety of readings but I never seem to get an explanation. This is just stated and the author goes on to an alternate approach. So, I am wondering if there is some sort of R simulation that could be used to demonstrate that this distribution is not a t-distribution. David -- View this message in context: http://r.789695.n4.nabble.com/Compraring-two-independent-samples-tp4649636.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.
