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The Quinn Public Interest Institute is studying transit proposals for a city. As part of its study, the institute distributed a survey about car ownership to 100100 randomly chosen households in the surrounding metropolitan area. From the survey results, the institute calculated a 95%95\% confidence interval of for the mean number of cars owned by households in the area.\newlineIs the following conclusion valid?\newlineThe average number of cars owned by households in the survey is between 2.92.9 and 3.13.1.\newlineChoices:\newline(A)yes\newline(B)no

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Q. The Quinn Public Interest Institute is studying transit proposals for a city. As part of its study, the institute distributed a survey about car ownership to 100100 randomly chosen households in the surrounding metropolitan area. From the survey results, the institute calculated a 95%95\% confidence interval of for the mean number of cars owned by households in the area.\newlineIs the following conclusion valid?\newlineThe average number of cars owned by households in the survey is between 2.92.9 and 3.13.1.\newlineChoices:\newline(A)yes\newline(B)no
  1. Confidence Interval Definition: The confidence interval is given as 2.92.9 to 3.13.1 cars. This range represents where the true mean of the population is likely to fall, with 95%95\% confidence.
  2. Misunderstanding of Conclusion: The conclusion states that the average number of cars owned by households in the survey is between 2.92.9 and 3.13.1. This is a misunderstanding of what a confidence interval represents.
  3. Validity of Conclusion: A confidence interval does not give the range of values in the sample; it gives the range where we expect the true population mean to lie. Therefore, the conclusion about the average number of cars owned by households in the survey being between 2.92.9 and 3.13.1 is not valid.

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