In hypothesis testing (in both paired and unpaired situation), when you deal with small samples you cannot use the student t test. Instead, you have to rely on nonparametric tests. They are called nonparametric because unlike the t test, they do not rely on the assumption that the underlying distribution is normal (with a relevant mean and standard deviation).
The question is how small is small? Different sources mention different minimum sample size so you can use the t test. Otherwise, you can't.
So, in your expert opinion what size sample do you need? Make sure to explain why and mention your background and reference. Explanation, credentials, reference will be heavily weighted in my rating the answer.
2006-06-19
10:33:08
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4 answers
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asked by
Gaetan
3
in
Science & Mathematics
➔ Mathematics
Some of the early answers interpreted the question as what size sample do you need to obtain significant results.
That's not the issue. The question refers to the sample size cut-off. Above that minimum size you can use the student t test. But, below that minimum size you have to use a nonparametric test. What is this minimum size? That size is not dependent on the size of the population. It is not even dependent on the distribution of the population.
2006-06-19
12:28:07 ·
update #1