The level of significance refers to the probability of making a Type I error.  □ True    □ False a) For a given sample size, revising a decision rule so that the probability of a Type I error is decreased will also decrease the probability of making a Type II error. □ True    □ False b) The first step in hypothesis testing is to determine the critical value(s) of the test statistic. □ True    □ False c) Compared to using a = 0.10, the selection of a = 0.001 will tend to make it less likely that a true null hypothesis will be rejected. □ True    □ False

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