Because we are constantly inferring results from a sample to a population, inferential statistics inherently have error. This error is related to the hypothesis testing that is the foundation of inferential statistics. There are two basic types of error called Type I and Type II. It is necessary to understand the difference between the two types of error since one is more preferable than the other. Write a one-page response addressing the following: Identify the types of error in the two vignettes provided.Preview the documentDiscuss why you selected the type of errors that you did
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