The Survey of Study Habits and Attitudes (SSHA) is a psychological test that measures the motivation, attitude, and study habits of college students. Scores range from 0 to 200 and follow (approximately) a normal distribution with mean 115 and standard deviation σ=25. You suspect that incoming freshman have a mean μ which is different from 115 because they are often excited yet anxious about entering college. To test your suspicion, you test the hypotheses H0:μ=115, Ha:μ≠115. You give the SSHA to 25 students who are incoming freshman and find their mean score. Based on this, you reject H0 at significance level α=0.01. Which of the following would be most helpful in assessing the practical significance of your results? A. Construct a 99% confidence interval for μ in order to see the magnitude of the difference between 115 and your sample results. B. Test the hypotheses again, this time using significance level α=0.001. C. Take another sample and retest just to make sure the results are not due to chance. D. Report the P-value of your test.