Assume a significance level of \( \alpha=0.01 \) and use the given information to complete parts (a) and (b) below. Original claim: The standard deviation of pulse rates of a certain group of adult males is more than 12 bpm. The hypothesis test results in a P-value of 0.3434 . C. Fail to reject \( H_{0} \) because the P-value is less than or equal to \( \alpha \). Fail to reject \( H_{0} \) because the P-value is greater than \( \alpha \). D. Reject \( H_{0} \) because the P-value is greater than \( \alpha \). b. Without using technical terms, state a final conclusion that addresses the original claim. Which of the following is the correct conclusion? A. The standard deviation of pulse rates of the group of adult males is more than 12 bpm. B. There is not sufficient evidence to support the claim that the standard deviation of pulse rates of the group of adult males is more than 12 bpm. C. The standard deviation of pulse rates of the group of adult males is less than or equal to 12 bpm. D. There is sufficient evidence to support the claim that the standard deviation of pulse rates of the group of adult males is more than 12 bpm.
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In this scenario, we compare the P-value of 0.3434 to the significance level of \( \alpha = 0.01 \). Since the P-value is much larger than the significance level, we fail to reject the null hypothesis, which means we don't have enough evidence to support the original claim that the standard deviation of the pulse rates is more than 12 bpm. So, the correct choice for part C is to fail to reject \( H_0 \) because the P-value is greater than \( \alpha \). As for the conclusion addressing the original claim, the answer would be B: There is not sufficient evidence to support the claim that the standard deviation of pulse rates of the group of adult males is more than 12 bpm. This tells us that we didn’t find strong enough proof to say that the variability in their pulse rates exceeds this number.
