6/11/2023 0 Comments Types of randomization![]() ![]() Parametric tests in almost every respect. ![]() Reject the null if our test statistic is extreme relative to the Statistic to the tabled sampling distribution of the statistic, and Population parameters, and calculate a test statistic (such as a t We use our sample statistics as estimates of the corresponding Parameters, often of the form m 1 -m 2 = 0. We establish a null hypothesis that is framed in terms of Most commonly that they are normally distributed with equal We make certain assumptions about those populations, In parametric tests we randomly sample from one or more Horse too much, but I will take one more whack at it. Null is distinctly different from what it would be with a parametric test. Their primary goal is to test some null hypothesis, although that We will begin with randomization tests, because they are closer in intent to more traditional parametric
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