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Theme park executives would like to know what age group to target with their advertisements. To begin, the executives collected the ages of 450450 randomly selected attendees in one month. Analysis of the study produced a 99%99\% confidence interval of for the mean age of attendees at the theme park.\newlineIs the following conclusion valid?\newlineIf the executives take another random sample, there is a 99%99\% chance that the mean age of attendees at the park will be in the new sample's 99%99\% confidence interval.\newlineChoices:\newline(A)yes\newline(B)no

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Q. Theme park executives would like to know what age group to target with their advertisements. To begin, the executives collected the ages of 450450 randomly selected attendees in one month. Analysis of the study produced a 99%99\% confidence interval of for the mean age of attendees at the theme park.\newlineIs the following conclusion valid?\newlineIf the executives take another random sample, there is a 99%99\% chance that the mean age of attendees at the park will be in the new sample's 99%99\% confidence interval.\newlineChoices:\newline(A)yes\newline(B)no
  1. Confidence Interval Definition: A confidence interval gives us a range within which we can be certain that the true mean lies, given a certain level of confidence. It does not predict the results of future samples.
  2. Misconception about Confidence Intervals: The statement is a common misconception about confidence intervals. The 99%99\% confidence level means that if we were to take many samples and build a confidence interval from each of them, 99%99\% of those intervals would contain the true mean. It does not guarantee that any single future sample's mean will fall within a previously calculated confidence interval.
  3. Invalid Conclusion: Therefore, the conclusion that there is a 99%99\% chance that the mean age of attendees will be in the new sample's 99%99\% confidence interval is not valid.

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