In hypothesis-testing,the size of the portion of the tails of the sampling distribution that fall outside your critical values (i.e.,your "rejection regions")is determined by your _____.
A)alpha level
B)beta level
C)power level
D)standard level

Question

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The alpha level, also known as the level of significance, is the predetermined probability of making a Type I error (rejecting the null hypothesis when it is actually true). It determines the size of the rejection regions, which are the tails of the sampling distribution where the null hypothesis is rejected. By choosing a smaller alpha level, the rejection regions become smaller, making it less likely to reject the null hypothesis when it is true (reducing the risk of Type I error), but also making it more difficult to reject the null hypothesis when it is false (reducing the power of the test).

In Hypothesis-Testing,the Size of the Portion of the Tails of the Sampling