A sports marketing company is interested in how many hours teenagers in a town spend watching sports. They randomly select 40 teenagers from this town and ask how many hours per week they spend watching sports. The mean amount is 6.25 hours with a standard deviation of 4.33 hours. Which of the following correctly interprets the 90% confidence interval for the true mean number of hours teenagers from this town watch sports? 90% of all teenagers from this town watch sports for the number of hours that lie between the values in the interval. In repeated sampling, 90% of the time, the true mean number of hours teens from this town watch sports will be 6.25 hours. The sports marketing company can be 90% confident that the constructed interval captures the true mean number of hours teens from this town watch sports. In repeated sampling, 90% of the time the true mean number of hours teens from this town watch sports will be captured in the constructed interval.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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A sports marketing company is interested in how many hours teenagers in a town spend watching sports. They randomly select 40 teenagers from this town and ask how many hours per week they spend watching sports. The mean amount is 6.25 hours with a standard deviation of 4.33 hours. Which of the following correctly interprets the 90% confidence interval for the true mean number of hours teenagers from this town watch sports? 90% of all teenagers from this town watch sports for the number of hours that lie between the values in the interval. In repeated sampling, 90% of the time, the true mean number of hours teens from this town watch sports will be 6.25 hours. The sports marketing company can be 90% confident that the constructed interval captures the true mean number of hours teens from this town watch sports. In repeated sampling, 90% of the time the true mean number of hours teens from this town watch sports will be captured in the constructed interval.
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