Use the "Body Fat" data set in JMP (Help->Sample Data->Regression) to create a 95% confidence interval, based on bootstrap, for the mean and median of "Knee Circumference". Upload your screenshot(s) of the results.
Added by Carrie S.
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Step 1: Open JMP and go to Help->Sample Data->Regression. Show more…
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Key Concepts
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Consider Part (a) of Exercise $6.4 .6$. (a) Using the data of Exercise $6.4 .7$, compute the mle of $b$. Also obtain the estimate based on 90 th percentile of the data. (b) Edit the R function bootstrapcis64.R to compute a bootstrap confidence interval for $b$. Then run your $\mathrm{R}$ function on the data of Exercise $6.4 .7$ to compute a $95 \%$ confidence interval for $b$.
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Multiparameter Case: Estimation
Apply Procedure 10.7 on page 483 to obtain the required confidence interval. Interpret your result in each case. Measuring Treadwear. Refer to Exercise 10.144 and find a $95 \%$ confidence interval for the mean difference in measurement by the weight and groove methods.
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Create a 95% confidence interval for the mean of the data set. State the margin of error and the confidence interval for the mean. Show the formulas being used and every step of the calculation. Dataset: 24.17 24.49 24.3 23.58 24.03 25.08 24.37 24.2 25.14 24.36 23.49 24.03 24.5 24.07 23.56 24.58 25.46 26.03 25.15 24.58 25.26 25.49 26.15 26.32 25.41 25.09 26.18 25.48 25.15 25.31 24.57
Jerelyn N.
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