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I'm sorry but a standard t-test is like the most basic thing in statistics after means and variances. It's not like they want you prove the CLT or something. To
by em500 9y ago
I'm sorry but a standard t-test is like the most basic thing in statistics after means and variances. It's not like they want you prove the CLT or something. To me it's more like a statistics fizz-buzz.
- steve_gh 9y agoTo which, of course, the correct answer is "Unless you have good reason to believe the data is normally distributed, you should be using Mann-Whitney", then explain that :-)
- neuromantik8086 9y agoExcuse me, I think that at this juncture a Kruskal-Wallis would be more appropriate (assuming multiple distributions).
- thousandautumns 9y agoThats not really true though. The vast majority of t-tests are done using a sample average as a test statistic, and by the CLT, as the sample size goes up, the distribution of a sample average becomes approximately normal. So unless you have a really weak sample size, the t-test assumption holds even in the absence of normally distributed data.
- deleted 9y ago[deleted]