The crux of statistical hypothesis testing is the sampling distribution concept.

Question

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The sampling distribution concept is central to statistical hypothesis testing. It involves using probability distributions to determine the likelihood of obtaining a particular sample mean or other statistic if the null hypothesis is true. By comparing the observed sample statistic to the sampling distribution, analysts can determine whether the results are statistically significant and reject or fail to reject the null hypothesis.

The Crux of Statistical Hypothesis Testing Is the Sampling Distribution