Question: Based on a given random sample, suppose you calculate a 95% confidence interval for the following difference: the mean test score for students under 25 years old minus the mean test score for students at least 25 years old, and the confidence interval extends from 14.3 to 1.2. How would you interpret these results? Would you claim that older students, on average, score higher on this test? Would you claim that, on average, it is possible that the younger students score higher on this test?