Babies: According to a recent report, a sample of 240 one-year-old baby boys in the United States had a mean weight of 25.5 pounds. Assume the population standard deviation is o=5.2 pounds. Part: 0/3 Part 1 of 3 decimal place. (a) Construct a 99.8% confidence interval for the mean weight of all one-year-old baby boys in the United States. Round the answer to at least one A 99.8% confidence interval for the mean weight in pounds of all one-year-old baby boys in the United States is Next Part m Breaking news Get caught up Q Search •MA. 579 X <με Submit Assignment © 2023 McGraw Hill LLC. All Rights Reserved. Terms of Use | Privacy Center | Accessibility 93 10/2

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**Title: Statistical Analysis of Infant Weight in the United States**

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**Introduction to Confidence Intervals**

In a recent study, researchers analyzed the weights of one-year-old baby boys in the United States. From a sample of 2,400 subjects, the mean weight was found to be 25.5 pounds. The study utilized a standard deviation of 5.2 pounds to calculate confidence intervals.

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**Analysis and Calculations**

**Question:**
Using the data provided, construct a 99% confidence interval for the mean weight of all one-year-old baby boys in the United States. Please round your answer to at least one decimal place.

**Methodology:**
To calculate the confidence interval, the following steps were applied:

1. Identify the sample mean (\(\bar{x}\)) = 25.5 pounds
2. Recognize the standard deviation (\(\sigma\)) = 5.2 pounds
3. Determine the sample size (\(n\)) = 2,400

**Formula for Confidence Interval:**
The formula for a confidence interval is:

\[\bar{x} \pm Z \left(\frac{\sigma}{\sqrt{n}}\right)\]

Where \(Z\) is the Z-score corresponding to the desired confidence level (99%).

**Steps:**

- Calculate the standard error (SE): \(\frac{\sigma}{\sqrt{n}}\)
- Multiply the standard error by the Z-score to find the margin of error.
- Add and subtract the margin of error from the sample mean to get the confidence interval.

**Visualization:**
A basic graph or diagram would illustrate the normal distribution curve, showing the confidence interval as a range around the mean weight (25.5 pounds), with markers indicating the upper and lower bounds.

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**Conclusion**

Understanding confidence intervals helps in predicting the probable range of values for population parameters. This analysis provides insights into the average weight range for one-year-old boys in the U.S., facilitating better health and nutrition planning.

---

**Next Steps:**

For further study, review statistical texts on hypothesis testing and advanced probability distributions to deepen your understanding of these concepts.
Transcribed Image Text:**Title: Statistical Analysis of Infant Weight in the United States** --- **Introduction to Confidence Intervals** In a recent study, researchers analyzed the weights of one-year-old baby boys in the United States. From a sample of 2,400 subjects, the mean weight was found to be 25.5 pounds. The study utilized a standard deviation of 5.2 pounds to calculate confidence intervals. --- **Analysis and Calculations** **Question:** Using the data provided, construct a 99% confidence interval for the mean weight of all one-year-old baby boys in the United States. Please round your answer to at least one decimal place. **Methodology:** To calculate the confidence interval, the following steps were applied: 1. Identify the sample mean (\(\bar{x}\)) = 25.5 pounds 2. Recognize the standard deviation (\(\sigma\)) = 5.2 pounds 3. Determine the sample size (\(n\)) = 2,400 **Formula for Confidence Interval:** The formula for a confidence interval is: \[\bar{x} \pm Z \left(\frac{\sigma}{\sqrt{n}}\right)\] Where \(Z\) is the Z-score corresponding to the desired confidence level (99%). **Steps:** - Calculate the standard error (SE): \(\frac{\sigma}{\sqrt{n}}\) - Multiply the standard error by the Z-score to find the margin of error. - Add and subtract the margin of error from the sample mean to get the confidence interval. **Visualization:** A basic graph or diagram would illustrate the normal distribution curve, showing the confidence interval as a range around the mean weight (25.5 pounds), with markers indicating the upper and lower bounds. --- **Conclusion** Understanding confidence intervals helps in predicting the probable range of values for population parameters. This analysis provides insights into the average weight range for one-year-old boys in the U.S., facilitating better health and nutrition planning. --- **Next Steps:** For further study, review statistical texts on hypothesis testing and advanced probability distributions to deepen your understanding of these concepts.
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