Final answer:
The (2.45,3.25) interval is the 95% confidence interval and is wider due to a higher level of confidence. The (2.55,3.15) is the 90% interval. If sample size increases to 140, the 95% interval will be narrower because of the reduced standard error.
Step-by-step explanation:
In finding a confidence interval for a random sample of 35 students' GPAs, where one interval is (2.45,3.25) and the other is (2.55,3.15), we must identify which is the 95% interval and which is the 90% interval, as well as understanding the effects of sample size on the width of a confidence interval.
The correct answer is C. The interval (2.45,3.25) is the 95% confidence interval and (2.55,3.15) is the 90% interval since a higher level of confidence results in a wider confidence interval. This is because more certainty requires capturing a larger proportion of the data's potential variability, leading to a broader range of values.
For part b, the answer is that the 95% interval with n=140 will be narrower than the interval with n=35 because a larger sample size decreases the standard error, leading to a smaller margin of error at the same level of confidence.