Final answer:
The correct answer is c. If we find that 95% confidence interval for μ does not include μ₀, we will reach the conclusion of failing to reject the null hypothesis from the test.
Step-by-step explanation:
The correct answer is c. If we find that 95% confidence interval for μ does not include μ₀, we will reach the conclusion of failing to reject the null hypothesis from the test.
When conducting a hypothesis test, we reject the null hypothesis if the p-value is less than the significance level (in this case, 0.05). However, if the 95% confidence interval for μ does not include the hypothesized value μ₀, it means that μ₀ is not a likely estimate for the population mean μ, supporting the alternative hypothesis that μ≠μ₀ or μ>μ₀.