2. DETAILS MY NOTES In a statistical test, we have a choice of a left-tailed test, a right-tailed test, or a two-tailed test. Is it the null hypothesis or the alternate hypothesis that determines which type of test is used? Explain your answer. The alternative hypothesis because it specifies what the level of significance of the test will be. The null hypothesis because it specifies the region of interest for the parameter in question. The null hypothesis because it specifies what the level of significance of the test will be. The alternative hypothesis because it specifies the region of interest for the parameter in question. 3. DETAILS MY NOTES If we fail to reject (i.e., "accept") the null hypothesis, does this mean that we have proved it to be true beyond all doubt? Explain your answer. Yes, if we fail to reject the null we have found evidence that the null is true beyond all doubt. No, it suggests that the evidence is not sufficient to merit rejecting the null hypothesis. Yes, it suggests that the evidence is sufficient to merit rejecting the alternative hypothesis beyond all doubt. No, it suggests that the null hypothesis is true only some of the time. 4. DETAILS If we reject the null hypothesis, does this mean that we have proved it to be false beyond all doubt? Explain your answer. Yes, if we reject the null that suggests that it is false beyond all doubt. No, the test was conducted with a risk of a type II error. Yes, the test was conducted with a risk of a type I error. No, the test was conducted with a risk of a type I error. MY NOTES