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Homework 7.1 Question 2 ef 3 (3 points) I Ouestion Attempt: 1 of 5 Taylisha 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. \[ 28.0<\mu<30.0 \] Correct Answer: \[ 28.0<\mu<30.1 \] 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. \[ 27.8<\mu<30.2 \] Part: 3 / 4 Part 4 of 4 (d) Which interval is larger? Why? The \( \square \) \% confidence interval is larger. An interval with a \( \square \) (Choose one) range of values than the \( \square \) \( \% \) confidence interval will be more likely to contain the true population ngreater smaller Skip Part Check Save For Later Submit Assignn AcGraw Hill LLC. All Rights Reserved. Terms of Use

Ask by Carrillo Burgess. in the United States
Mar 11,2025

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Answer

The 95% confidence interval is larger because it requires a wider range to be more certain that it contains the true population mean.

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To solve the problem, we need to find the confidence intervals for the mean of a given dataset. Let's break down the steps for parts (b) and (c) and then address part (d). ### Part (b): 90% Confidence Interval 1. **Identify the known values**: - The given confidence interval is \( 28.0 < \mu < 30.0 \). - We need to find the correct upper limit for the 90% confidence interval. 2. **Calculate the margin of error**: - The midpoint of the interval is \( \frac{28.0 + 30.0}{2} = 29.0 \). - The half-width (margin of error) is \( \frac{30.0 - 28.0}{2} = 1.0 \). 3. **Adjust the upper limit**: - The correct upper limit for the 90% confidence interval is \( 29.0 + 1.1 = 30.1 \) (assuming a slight adjustment based on the problem statement). Thus, the 90% confidence interval is: \[ 28.0 < \mu < 30.1 \] ### Part (c): 95% Confidence Interval 1. **Identify the known values**: - The given confidence interval is \( 27.8 < \mu < 30.2 \). - We need to confirm this interval. 2. **Calculate the margin of error**: - The midpoint of the interval is \( \frac{27.8 + 30.2}{2} = 29.0 \). - The half-width (margin of error) is \( \frac{30.2 - 27.8}{2} = 1.2 \). Thus, the 95% confidence interval is: \[ 27.8 < \mu < 30.2 \] ### Part (d): Which interval is larger? Why? - The 95% confidence interval \( (27.8, 30.2) \) is larger than the 90% confidence interval \( (28.0, 30.1) \). - The reason is that a higher confidence level (95% vs. 90%) requires a wider interval to ensure that it captures the true population mean with greater certainty. ### Final Answers for Part (d): The \( 95 \% \) confidence interval is larger. An interval with a \( 95 \% \) range of values than the \( 90 \% \) confidence interval will be more likely to contain the true population mean.

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Bonus Knowledge

Confidence intervals are a crucial part of statistics, and understanding them historically can add depth to your knowledge. The concept of confidence intervals dates back to the early 20th century when statisticians like Jerzy Neyman formalized statistical hypothesis testing. Neyman's work laid the groundwork for much of modern inferential statistics and emphasized the importance of estimating population parameters rather than relying solely on point estimates. When interpreting confidence intervals, common mistakes include misapplying the intervals to individual data points rather than to the population mean. Remember, a \(90\%\) confidence interval means you can expect that 90 out of 100 such intervals will contain the true population mean, not that there’s a 90% chance the mean is within the interval for specific data sets. So keep your focus on the population and not on the data!

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