3. Data on 134 Americans from the CDC's National Health and Nutrition Examination survey give an average BMI of 28.8 kg/m² and a sample standard deviation was 6.7 kg/m². Here you'll compute a confidence interval for mean BMI. (a) Write the formula for a 1 – a confidence interval for the mean. Identify any relevant assumptions required to use this formula. (b) Calculate a 95% confidence interval. (c) Calculate a 99% confidence interval. (d) Interpret each interval. (e) Comment on what happens to the interval width when the confidence coefficient is in- creased from 95% to 99%. Can you think of any intuitive explanation for the change in width? (f) Suppose that BMI measurements were collected from a sample of 150 Canadian adults, and that the sample mean was 23.2 kg/m² and the sample standard deviation was 4.3 kg/m2. Compute and interpret a confidence interval for the difference between the BMI of American and Canadian adults.

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3. Data on 134 Americans from the CDC's National Health and Nutrition Examination survey
give an average BMI of 28.8 kg/m² and a sample standard deviation was 6.7 kg/m². Here
you'll compute a confidence interval for mean BMI.
(a) Write the formula for a 1
assumptions required to use this formula.
- a confidence interval for the mean. Identify any relevant
(b) Calculate a 95% confidence interval.
(c) Calculate a 99% confidence interval.
(d) Interpret each interval.
(e) Comment on what happens to the interval width when the confidence coefficient is in-
creased from 95% to 99%. Can you think of any intuitive explanation for the change in
width?
(f) Suppose that BMI measurements were collected from a sample of 150 Canadian adults,
and that the sample mean was 23.2 kg/m² and the sample standard deviation was 4.3
kg/m2. Compute and interpret a confidence interval for the difference between the BMI
of American and Canadian adults.
Transcribed Image Text:3. Data on 134 Americans from the CDC's National Health and Nutrition Examination survey give an average BMI of 28.8 kg/m² and a sample standard deviation was 6.7 kg/m². Here you'll compute a confidence interval for mean BMI. (a) Write the formula for a 1 assumptions required to use this formula. - a confidence interval for the mean. Identify any relevant (b) Calculate a 95% confidence interval. (c) Calculate a 99% confidence interval. (d) Interpret each interval. (e) Comment on what happens to the interval width when the confidence coefficient is in- creased from 95% to 99%. Can you think of any intuitive explanation for the change in width? (f) Suppose that BMI measurements were collected from a sample of 150 Canadian adults, and that the sample mean was 23.2 kg/m² and the sample standard deviation was 4.3 kg/m2. Compute and interpret a confidence interval for the difference between the BMI of American and Canadian adults.
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