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A university is trying to accommodate its commuter students in its course scheduling. In a survey, the school asked a sample of 7575 randomly chosen students how long their daily commute is, in minutes. The data showed a 90%90\% confidence interval of for the mean commute time for students at the university.\newlineIs the following conclusion valid?\newlineIf 100100 more surveys are conducted (each using a sample with members chosen randomly and independently), it is expected that exactly 100100 of them will each produce a 90%90\% confidence interval that contains its sample mean.\newlineChoices:\newline(A)yes\newline(B)no\newline

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Q. A university is trying to accommodate its commuter students in its course scheduling. In a survey, the school asked a sample of 7575 randomly chosen students how long their daily commute is, in minutes. The data showed a 90%90\% confidence interval of for the mean commute time for students at the university.\newlineIs the following conclusion valid?\newlineIf 100100 more surveys are conducted (each using a sample with members chosen randomly and independently), it is expected that exactly 100100 of them will each produce a 90%90\% confidence interval that contains its sample mean.\newlineChoices:\newline(A)yes\newline(B)no\newline
  1. Definition of 90%90\% Confidence Interval: A 90%90\% confidence interval means that we expect 90%90\% of the confidence intervals from repeated samples to contain the true population mean, not necessarily the sample mean.
  2. Expectation from Additional Surveys: If 100100 more surveys are conducted, we expect around 9090 of them (90%90\%) to contain the true population mean within their confidence intervals, not all 100100.
  3. Misunderstanding of Confidence Interval: The conclusion that exactly 100100 out of 100100 surveys will contain their sample mean within the 90%90\% confidence interval is incorrect because it misunderstands the meaning of a confidence interval.

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