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Homework 7.1 Question 2 of 3 (3 points) | Question Attempt: 1 of 5 Part 1 of 4 (a) The best point estimate of the mean is \( \square \) 29 pounds. Part 2 of 4 (b) Find the \( 95 \% \) confidence interval of the mean of these pounds. Round intermediate answers to at least three decimal places. Round your final answ to one decimal place. \[ 28.0<\mu<30.0 \] Part 3 of 4 (c) Find the \( 99 \% \) confidence interval of the mean of these pounds. Round intermediate answers to at least three decimal places. Round your final answe to one decimal place. \[ 27.7<\mu<30.3 \] Part: 3 / 4 Part 4 of 4 (d) Which interval is larger? Why? The \( 95 \% \) confidence interval is larger. An interval with a \( \square \) greater range of values than the 90 \% confidence interval will be more likely to contain the true population mean. Try again ip Part Recheck Save For Later Sub AcGraw Hill LLC. All Rights Reserved. Terms of Use Privacy

Ask by Sullivan Munoz. in the United States
Mar 11,2025

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The \(99\%\) confidence interval is larger because it has a greater margin of error to ensure a higher level of confidence that the true mean is captured.

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**Step 1.** We are given: - The best point estimate of the mean is \(29\) pounds. **Step 2.** The \(95\%\) confidence interval is given as: \[ 28.0 < \mu < 30.0 \] which has a width of: \[ 30.0 - 28.0 = 2.0 \text{ pounds}. \] **Step 3.** The \(99\%\) confidence interval is given as: \[ 27.7 < \mu < 30.3 \] which has a width of: \[ 30.3 - 27.7 = 2.6 \text{ pounds}. \] **Step 4.** To determine which interval is larger, we compare the widths of the intervals. The \(99\%\) confidence interval has a width of \(2.6\) pounds, while the \(95\%\) confidence interval has a width of \(2.0\) pounds. Therefore, the \(99\%\) confidence interval is larger. **Step 5.** The reason for this is that a higher confidence level (in this case, \(99\%\)) requires a wider interval in order to be more certain that the true population mean is captured. A higher level of confidence means you are less likely to miss the true mean, which is achieved by increasing the margin of error. Thus, the \(99\%\) confidence interval is larger because it has a greater margin of error owing to the higher confidence requirement.

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The Deep Dive

Confidence intervals are like cozy blankets for estimates; they not only give you a point estimate of the mean but also offer a range that likely contains the true mean. The 95% confidence interval is wider than the 99% confidence interval because of the trade-off between confidence level and precision. As the confidence level increases, so does the width of the interval, because you want to be more certain that the true mean lies within your range. When comparing confidence intervals, remember this: a wider range indicates a higher confidence level, but be careful not to become complacent with the increased range. It's easy to overlook the actual data at your disposal! Accuracy in estimating and interpreting these intervals is crucial, so always ensure you have reliable data and appropriate sample size to back your findings. Keep practicing to hone your skills!

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