Questions: Overweight Men For a random sample of 65 overweight men, the mean of the number of pounds that they were overweight was 29. The standard deviation of the population is 4.5 pounds.
Part 1 of 4
(a) The best point estimate of the mean is 29 pounds.
Part 2 of 4
(b) Find the 90% confidence interval of the mean of these pounds. Round intermediate answers to at least three decimal places. Round your final answers to one decimal place.
28.1<μ<29.9
Part 3 of 4
(c) Find the 95% confidence interval of the mean of these pounds. Round intermediate answers to at least three decimal places. Round your final answers to one decimal place.
27.9<μ<30.1
Part 4 of 4
(d) Which interval is larger? Why?
The 99% confidence interval is larger. An interval with a greater range of values than the 99% confidence interval will be more likely to contain the true population mean.
Transcript text: Overweight Men For a random sample of 65 overweight men, the mean of the number of pounds that they were overweight was 29 . The standard deviation of the population is 4.5 pounds.
Part 1 of 4
(a) The best point estimate of the mean is 29 pounds.
Part 2 of 4
(b) Find the $90 \%$ confidence interval of the mean of these pounds. Round intermediate answers to at least three decimal places. Round your final answers to one decimal place.
\[
28.1<\mu<29.9
\]
Part 3 of 4
(c) Find the $95 \%$ confidence interval of the mean of these pounds. Round intermediate answers to at least three decimal places. Round your final answers to one decimal place.
\[
27.9<\mu<30.1
\]
Part: 3 / 4
Part 4 of 4
(d) Which interval is larger? Why?
The $99 \%$ confidence interval is larger. An interval with a greater range of values than the $99 \%$ confidence interval will be more likely to contain the true population mean.
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Solution
Solution Steps
Step 1: Point Estimate
The best point estimate of the mean number of pounds that the overweight men were overweight is given by the sample mean:
\[
\bar{x} = 29 \text{ pounds}
\]
Step 2: 90% Confidence Interval
To calculate the 90% confidence interval for the mean, we use the formula:
\[
\bar{x} \pm z \frac{\sigma}{\sqrt{n}}
\]
Where:
\(\bar{x} = 29\)
\(z\) for 90% confidence level is approximately \(1.645\)