A simple random sample of 30 students was selected from a normally distributed population of high school students. The following confidence intervals were calculated at 90,95, and \( 99 \% \) confidence levels to estimate the average number of hours of sleep the students got each night. Determine which confidence level goes with each confidence interval. Between 7.3 and 8.7 hours of sleep: Between 7.0 and 9.0 hours of sleep: Between 7.2 and 8.8 hours of sleep: DoNE \( 90 \% \) confidence level \( 95 \% \) confidence level \( 99 \% \) confidence level
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To match the confidence intervals with their respective confidence levels, we can analyze their width. Generally, the wider the confidence interval, the higher the confidence level, since more uncertainty allows for a broader range. The confidence intervals are as follows: - Between 7.3 and 8.7 hours of sleep: This interval is 1.4 hours wide (8.7 - 7.3), making it the narrowest. It corresponds to a \( 90\% \) confidence level, indicating a more precise estimate with less uncertainty. - Between 7.0 and 9.0 hours of sleep: This interval is 2.0 hours wide (9.0 - 7.0), making it wider than the first interval. It would correspond to a \( 95\% \) confidence level, as it allows for a moderate amount of uncertainty. - Between 7.2 and 8.8 hours of sleep: This interval is 1.6 hours wide (8.8 - 7.2), which is wider than the first but narrower than the second. Therefore, it corresponds to a \( 99\% \) confidence level, where more confidence comes with the tradeoff of a broader range. So we have: - Between 7.3 and 8.7 hours: \( 90\% \) - Between 7.0 and 9.0 hours: \( 95\% \) - Between 7.2 and 8.8 hours: \( 99\% \)