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The body mass index (BMI) is a measure of obesity and equals a person's weight (in kilograms) divided by the height (in meters) squared. For a certain diagnosis related group of 20 patients, the following natural tolerances were obtained on weight (60± 5 kg) and height (1.7±0.09 m). Assume that the distributions of weight and height are each normal.
What are the natural tolerances on BMI for this group of patients? A BMI of 30.0 or more is considered to represent obesity.
What proportion of the patients do you expect to be obese, assuming normality? Find the Cp index and establish a 95% lower confidence interval.
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Calculate a 3-period moving average for period 7. Compute the MAD of the forecast.
Run an ANOVA using only groups 1 to 6 (You can hide group 7 from the analysis by data followed by select cases and then you filter out group 7 by if GROUP~= ). Also run the posthoc tests LSD and Bonferroni.
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Determine the critical value. Using the critical value rejection rule, what is the statistical conclusion?
suppose that the skewness associated with the residuals from a multiple regression of 88 observations is -0.3 and the
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