POSSIBLE POINTS: 8.33 22. A random sample of 50 students at a large high school resulted in a 95 percent confidence interval for the mean number of hours of sleep per day of \( (6.73,7.67) \). Which of the following statements best summarizes the meaning of this confidence interval? (A) About \( 95 \% \) of all random samples of 50 students from this population would result in a \( 95 \% \) confidence interval of ( \( 6.73,7.67 \) ). (B) About \( 95 \% \) of all random samples of 50 students from this population would result in a \( 95 \% \) confidence interval that covered the population mean number of hours of sleep per day. (C) \( 95 \% \) of the students in the survey reported sleeping between 6.73 and 7.67 hours per day. (D) \( 95 \% \) of the students in this high school sleep between 6.73 and 7.67 hours per day. (E) A student selected at random from this population sleeps between 6.73 and 7.67 hours per day for \( 95 \% \) of the time.
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To really grasp the essence of confidence intervals, it's key to understand their statistical foundation. They are constructed based on the sample data and not on the entire population directly. The interval you've been given indicates that we can be 95% confident that the true mean hours of sleep for all students falls between 6.73 and 7.67. This is about estimating what the average is likely to be in that broader student population. Now, for practical applications, this kind of confidence interval is invaluable for school administrations and health professionals focused on student well-being. By understanding the average sleep hours, they can better tailor programs like sleep education or workshops to improve students' sleep hygiene, thus enhancing overall academic performance and mental health.