a) Construct a 95% confidence interval for the population mean u. p) At the 0.05 level of significance, test whether the mean baseline body mass index for the population of middle-aged men who develop diabetes is equal to 24.0 kg/m", the mean for the population of men who do not. What is the p-value of the test? =) What do you conclude?

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8. Body mass index is calculated by dividing a person's weight by the square of his or her height; it
is a measure of the extent to which the individual is overweight. For the population of middle-
aged men who later develop diabetes mellitus, the distribution of baseline body mass indices is
approximately normal with an unknown mean u and standard deviation o. A sample of 58 men
selected from this group has mean x = 24.65 kg/m and standard deviation s = 2.7 kg/m2.
(a) Construct a 95% confidence interval for the population mean u.
(b) At the 0.05 level of significance, test whether the mean baseline body mass index for the
population of middle-aged men who develop diabetes is equal to 24.0 kg/m“, the mean for
the population of men who do not. What is the p-value of the test?
(c) What do
you
conclude?
(d) Based on the 95% confidence interval, would you have expected to reject or not to reject the
null hypothesis? Why?
Transcribed Image Text:8. Body mass index is calculated by dividing a person's weight by the square of his or her height; it is a measure of the extent to which the individual is overweight. For the population of middle- aged men who later develop diabetes mellitus, the distribution of baseline body mass indices is approximately normal with an unknown mean u and standard deviation o. A sample of 58 men selected from this group has mean x = 24.65 kg/m and standard deviation s = 2.7 kg/m2. (a) Construct a 95% confidence interval for the population mean u. (b) At the 0.05 level of significance, test whether the mean baseline body mass index for the population of middle-aged men who develop diabetes is equal to 24.0 kg/m“, the mean for the population of men who do not. What is the p-value of the test? (c) What do you conclude? (d) Based on the 95% confidence interval, would you have expected to reject or not to reject the null hypothesis? Why?
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