Final answer:
To test the hypothesis μ = 90 versus the alternative hypothesis μ > 90 with a sample of 100 observations, calculate the test statistic, p-value, and the conclusion for this test.
Step-by-step explanation:
To test the hypothesis μ = 90 versus the alternative hypothesis μ > 90 with a sample of 100 observations, we need to calculate the test statistic, p-value, and the conclusion for this test.
(a) Test statistic = (sample mean - population mean) / (population standard deviation / sqrt(sample size)) = (92.6 - 90) / (14.88 / sqrt(100)) = 2.6 / 1.488 = 1.74
(b) P-value: The p-value is the probability of observing a test statistic as extreme as the one calculated under the null hypothesis. Using a t-distribution with 99 degrees of freedom, the p-value can be found to be approximately 0.043.
(c) The conclusion for this test is A. There is insufficient evidence to reject the null hypothesis.