two mean t test
two mean z test
two proportion test
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a type I error is the rejection of a true null hypothesis,
while a type II error is the non-rejection of a false null hypothesis.
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Paired-samples t tests compare scores on two different variables but for the same group of cases;
independent-samples t tests compare scores on the same variable but for two different groups of cases.
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