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Construct and Interpret Confidence Intervals About the Population Mean Difference μ1\mu _ { 1 }

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Construct and Interpret Confidence Intervals about the Population Mean Difference of Matched -Pairs Data
-A new weight-reducing technique, consisting of a liquid protein diet, is currently undergoing tests before its introduction into the market. A typical test performed is the following: The weights of a random sample of five people are recorded before they are introduced to the liquid protein diet. The five individuals are then instructed to follow the liquid protein diet for 3 weeks. At the end of this period, their weights (in pounds) are again recorded. The results are listed in the table. Let μ1\mu _ { 1 } be the true mean weight of individuals before starting the diet and let μ2\mu _ { 2 } be the true mean weight of individuals after 3 weeks on the diet. Calculate a 90%90 \% confidence interval for the difference between the mean weights before and after the diet is used. Assume that the paired data came from a population that is normally distributed.

 Construct and Interpret Confidence Intervals about the Population Mean Difference of Matched -Pairs Data -A new weight-reducing technique, consisting of a liquid protein diet, is currently undergoing tests before its introduction into the market. A typical test performed is the following: The weights of a random sample of five people are recorded before they are introduced to the liquid protein diet. The five individuals are then instructed to follow the liquid protein diet for 3 weeks. At the end of this period, their weights (in pounds) are again recorded. The results are listed in the table. Let  \mu _ { 1 }  be the true mean weight of individuals before starting the diet and let  \mu _ { 2 }  be the true mean weight of individuals after 3 weeks on the diet. Calculate a  90 \%  confidence interval for the difference between the mean weights before and after the diet is used. Assume that the paired data came from a population that is normally distributed.     Summary information is as follows:  \overline { \mathrm { d } } = 5 , \mathrm {~s} \mathrm {~d} = 1.58 .

Summary information is as follows: d=5, s d=1.58\overline { \mathrm { d } } = 5 , \mathrm {~s} \mathrm {~d} = 1.58 .


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