If you use a 0.10 level of significance in a (two-tail) hypothesis test, what is your decision rule for rejecting a null

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If You Use A 0 10 Level Of Significance In A Two Tail Hypothesis Test What Is Your Decision Rule For Rejecting A Null 1 (27.41 KiB) Viewed 31 times

If you use a 0.10 level of significance in a (two-tail) hypothesis test, what is your decision rule for rejecting a null hypothesis that the population mean is 850 if you use the Z test? Click here to view page 1 of the Normal table. Click here to view page 2 of the Normal table. Which of the following decision rules is correct? O A. Reject H, if -1.28 <ZSTAT<+1.28. OB. Reject H, if - 1.645<ZSTAT< +1.645. O C. Reject Ho if ZSTAT < -1.28 or ZSTAT > +1.28. OD. Reject H, if ZSTAT < -1.645 or ZSTAT> +1.645. C

In the Country A legal system, a defendant is presumed innocent until proven guilty. Consider a null hypothesis, Ho, that the defendant is innocent, and an alternative hypothesis, H₁, that the defendant is guilty. A jury has two possible decisions: Convict the defendant (i.e., reject the null hypothesis) or do not convict the defendant (i.e., do not reject the null hypothesis). Explain the meaning of the risks of committing either a Type I or Type II error in this example. Choose the correct answer below. -C O A. A Type I error would be incorrectly failing to convict the defendant when he is innocent. A Type II error would be incorrectly convicting the defendant when he is guilty. OB. A Type I error would be incorrectly failing to convict the defendant when he is guilty. A Type Il error would be incorrectly convicting the defendant when he is innocent. ⒸC. A Type I error would be incorrectly convicting the defendant when he is guilty. A Type II error would be incorrectly failing to convict the defendant when he is innocent. OD. A Type I error would be incorrectly convicting the defendant when he is innocent. A Type error would be incorrectly failing to convict the defendant when he is guilty.