document.write( "Question 1129450: In a random sample of 24 ​people, the mean commute time to work was 30.8 minutes and the standard deviation was 7.1 minutes. Assume the population is normally distributed and use a​ t-distribution to construct a 95​% confidence interval for the population mean mu. What is the margin of error of mu​? Interpret the results.
\n" ); document.write( "The confidence interval for the population mean mu is left parenthesis comma right parenthesis .
\n" ); document.write( "​(Round to one decimal place as​ needed.)
\n" ); document.write( "The margin of error of mean is:
\n" ); document.write( "
\n" ); document.write( "​(Round to one decimal place as​ needed.)
\n" ); document.write( "Interpret the results.
\n" ); document.write( "A.
\n" ); document.write( "It can be said that 95​% of people have a commute time between the bounds of the confidence interval.
\n" ); document.write( "B.
\n" ); document.write( "With 95​% ​confidence, it can be said that the commute time is between the bounds of the confidence interval.
\n" ); document.write( "C.
\n" ); document.write( "With 95​% ​confidence, it can be said that the population mean commute time is between the bounds of the confidence interval.
\n" ); document.write( "D.
\n" ); document.write( "If a large sample of people are taken approximately 95​% of them will have commute times between the bounds of the confidence interval.
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Algebra.Com's Answer #746032 by Boreal(15235)\"\" \"About 
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t df=23,0.975=2.069
\n" ); document.write( "s=7.1
\n" ); document.write( "ts/sqrt(n) is half interval or 2.069*7.1/sqrt(24)=3.0 ANSWER
\n" ); document.write( "(27.8, 33.8)units minutes\r
\n" ); document.write( "\n" ); document.write( "C
\n" ); document.write( "The purpose of a confidence interval is to define where the true mean lies, with a certain degree of confidence. The true mean is usually unknown and unknowable and either lies in or out of the interval. We don't know which, and it is a 100-0 type of issue, which is why we use confidence for where we think the true mean lies, not a probability.
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