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The paired t-test is the appropriate method when the researcher takes an experimental group, measures the baseline, subjects the members to an intervention, and then measures the results.
Testing in a before-and-after manner like this ("matched data" or "repeated measures") requires a different statistical technique than the typical student t-test.
t = d / (s / √n)
- t: t-score
- d: difference between the mean before and after
- s: standard deviation
- √n: √(number in the sample)
If the t is significant, then the null hypothesis (no difference between the groups) can be rejected. The degree of freedom of the test is (n/2-1); so effectively the sample number has to be doubled to acheive the same number of degrees of freedom as a typical student t-test.
It is important to remember when reading a study that a "one-tailed" test is less stringent than a "two-tailed" test.
- 1. Psoter KJ, Roudsari BS, Dighe MK et-al. Biostatistics primer for the radiologist. AJR Am J Roentgenol. 2014;202 (4): W365-75. doi:10.2214/AJR.13.11657 - Pubmed citation