Suppose that a major polling organization wanted to test the hypothesis that there was a change in the president’s “approval rating” since last month. Last month, 35% of the representative sample of registered voters approved of the president. For this month, the null hypothesis was that the approval rating equals 35% and the alternative hypothesis is that the approval rating does not equal 35%. The significance level for this test was 0.05.The results of the hypothesis test of the new survey showed a p-value of 0.008.Which of the following statements is correct? Check all that apply. The results were statistically significant. The results were not statistically significant. The null hypothesis should be rejected. The null hypothesis should be accepted. The null hypothesis cannot be rejected.
Question
Suppose that a major polling organization wanted to test the hypothesis that there was a change in the president’s “approval rating” since last month. Last month, 35% of the representative sample of registered voters approved of the president. For this month, the null hypothesis was that the approval rating equals 35% and the alternative hypothesis is that the approval rating does not equal 35%. The significance level for this test was 0.05.The results of the hypothesis test of the new survey showed a p-value of 0.008.Which of the following statements is correct? Check all that apply. The results were statistically significant. The results were not statistically significant. The null hypothesis should be rejected. The null hypothesis should be accepted. The null hypothesis cannot be rejected.
Solution 1
The correct statements are:
- The results were statistically significant.
- The null hypothesis should be rejected.
Explanation:
In hypothesis testing, if the p-value is less than the significance level (0.05 in this case), we reject the null hypothesis. Here, the p-value is 0.008, which is less than 0.05. Therefore, we reject the null hypothesis that the approval rating equals 35%. This means there is a significant change in the president's approval rating. Hence, the results are statistically significant.
Solution 2
The correct statements are:
- The results were statistically significant.
- The null hypothesis should be rejected.
Here's why:
-
The results were statistically significant: The p-value of 0.008 is less than the significance level of 0.05. This means that the results are statistically significant, and the likelihood of the observed difference in approval ratings happening by chance is very low.
-
The null hypothesis should be rejected: Since the p-value is less than the significance level, we reject the null hypothesis. This means that there is enough evidence to suggest that the president's approval rating has changed since last month.
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