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... First, it is worth noting that, as a general rule, the sample size for a study should be large enough so that important parameters are estimated with sufficient precision to be useful, but it should not be unnecessarily large. This is because, on the one hand, small samples with unacceptable levels ...
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Student's t-test

A t-test is any statistical hypothesis test in which the test statistic follows a Student's t-distribution if the null hypothesis is supported. It can be used to determine if two sets of data are significantly different from each other, and is most commonly applied when the test statistic would follow a normal distribution if the value of a scaling term in the test statistic were known. When the scaling term is unknown and is replaced by an estimate based on the data, the test statistic (under certain conditions) follows a Student's t distribution.
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