I have two sets of equal sized and normally distributed data, which are output from two different experiments. I wish to do a two-sample t-test with these two data sets to see if the results from the two experiments agree.
Is it appropriate to mean (or median) centralize the data sets before doing the t-test?
The variance of the data are equal and passes the var.test. My understanding is that if I centralize the data and the mean will be the same for the two data sets and the result of a t-test will always favor the null hypothesis of equal means.
Can the same thing be said about centralizing data or not for a one-way ANOVA if I have more than two datasets?