document.write( "Question 1143854: A data set includes 107 body temperatures of healthy adult humans having a mean of 98.7degreesF and a standard deviation of 0.72degreesF. Construct a 99% confidence interval estimate of the mean body temperature of all healthy humans. What does the sample suggest about the use of 98.6degreesF as the mean body temperature?\r
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document.write( "What is the confidence interval estimate of the population mean mu?\r
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document.write( "What does this suggest about the use of 98.6degreesF as the mean body temperature?
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document.write( "A.
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document.write( "This suggests that the mean body temperature could be higher than 98.6degreesF.
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document.write( "B.
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document.write( "This suggests that the mean body temperature could be lower than 98.6degreesF.
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document.write( "C.
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document.write( "This suggests that the mean body temperature could very possibly be 98.6degreesF. \n" );
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Algebra.Com's Answer #764807 by rothauserc(4718)![]() ![]() You can put this solution on YOUR website! The sample size of 107 is > 30, so we can use the Normal Distribution probability derived from the z-score tables. \n" ); document.write( ": \n" ); document.write( "The sample mean is 98.7 degrees F and the sample standard deviation is 0.72 degrees F \n" ); document.write( ": \n" ); document.write( "alpha(a) = 1 - 0.99 = 0.01 \n" ); document.write( ": \n" ); document.write( "critical probability(p*) = 1 - a/2 = 0.995 \n" ); document.write( ": \n" ); document.write( "the critical value(cv) is the z-score associated with p*, cv = 2.57 \n" ); document.write( ": \n" ); document.write( "margin of error(me) = cv * standard deviation = 2.57 * 0.72 = 1.85 \n" ); document.write( ": \n" ); document.write( "99% confidence interval is 98.7 + or - 1.85, (96.85, 100.55) \n" ); document.write( ": \n" ); document.write( "Using the same sampling method, we select different samples of size 107 and compute a different interval estimate for each sample. Some interval estimates would include the true population mean and some would not. A 99% confidence level means that we would expect 99% of the interval estimates to include the population mean. \n" ); document.write( ": \n" ); document.write( "answer is C. \n" ); document.write( ": \n" ); document.write( " |