**Finding a Confidence Interval for a Difference in Means** **Introduction** To find a confidence interval for a difference between two population means \( \mu_1 - \mu_2 \), we use the t-distribution. This tutorial explains the steps needed when given relevant sample results. You will learn how to calculate the best estimate, margin of error, and the confidence interval using example data. ### Problem Statement Use the t-distribution to find a confidence interval for a difference between means \( \mu_1 - \mu_2 \) given the following relevant sample results. Calculate the best estimate for \( \mu_1 - \mu_2 \), the margin of error, and the confidence interval. Assume the results come from random samples from populations that are approximately normally distributed. ### Example Data A 99% confidence interval for \( \mu_1 - \mu_2 \) using the sample results: - Sample 1 (\( n_1 = 15 \)): \( \overline{x}_1 = 5.3 \), \( s_1 = 3.0 \) - Sample 2 (\( n_2 = 8 \)): \( \overline{x}_2 = 4.4 \), \( s_2 = 3.1 \) ### Instructions Enter the exact answer for the best estimate and round your answers for the margin of error and the confidence interval to two decimal places. ### Input Fields - **Best Estimate**: - **Margin of Error**: - **Confidence Interval**: - From: - To: ### Interactive Features - eTextbook and Media - Save for Later - Submit Answer - Attempts: 0 of 3 used By following these steps, you will learn to calculate the confidence interval for the given data. This method ensures accuracy and a better understanding of the confidence intervals in statistical analysis.

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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**Finding a Confidence Interval for a Difference in Means**

**Introduction**

To find a confidence interval for a difference between two population means \( \mu_1 - \mu_2 \), we use the t-distribution. This tutorial explains the steps needed when given relevant sample results. You will learn how to calculate the best estimate, margin of error, and the confidence interval using example data. 

### Problem Statement
Use the t-distribution to find a confidence interval for a difference between means \( \mu_1 - \mu_2 \) given the following relevant sample results. Calculate the best estimate for \( \mu_1 - \mu_2 \), the margin of error, and the confidence interval. Assume the results come from random samples from populations that are approximately normally distributed.

### Example Data
A 99% confidence interval for \( \mu_1 - \mu_2 \) using the sample results:
- Sample 1 (\( n_1 = 15 \)): \( \overline{x}_1 = 5.3 \), \( s_1 = 3.0 \)
- Sample 2 (\( n_2 = 8 \)): \( \overline{x}_2 = 4.4 \), \( s_2 = 3.1 \)

### Instructions 
Enter the exact answer for the best estimate and round your answers for the margin of error and the confidence interval to two decimal places.

### Input Fields
- **Best Estimate**: 
- **Margin of Error**: 
- **Confidence Interval**: 
  - From: 
  - To:

### Interactive Features
- eTextbook and Media
- Save for Later
- Submit Answer
- Attempts: 0 of 3 used

By following these steps, you will learn to calculate the confidence interval for the given data. This method ensures accuracy and a better understanding of the confidence intervals in statistical analysis.
Transcribed Image Text:**Finding a Confidence Interval for a Difference in Means** **Introduction** To find a confidence interval for a difference between two population means \( \mu_1 - \mu_2 \), we use the t-distribution. This tutorial explains the steps needed when given relevant sample results. You will learn how to calculate the best estimate, margin of error, and the confidence interval using example data. ### Problem Statement Use the t-distribution to find a confidence interval for a difference between means \( \mu_1 - \mu_2 \) given the following relevant sample results. Calculate the best estimate for \( \mu_1 - \mu_2 \), the margin of error, and the confidence interval. Assume the results come from random samples from populations that are approximately normally distributed. ### Example Data A 99% confidence interval for \( \mu_1 - \mu_2 \) using the sample results: - Sample 1 (\( n_1 = 15 \)): \( \overline{x}_1 = 5.3 \), \( s_1 = 3.0 \) - Sample 2 (\( n_2 = 8 \)): \( \overline{x}_2 = 4.4 \), \( s_2 = 3.1 \) ### Instructions Enter the exact answer for the best estimate and round your answers for the margin of error and the confidence interval to two decimal places. ### Input Fields - **Best Estimate**: - **Margin of Error**: - **Confidence Interval**: - From: - To: ### Interactive Features - eTextbook and Media - Save for Later - Submit Answer - Attempts: 0 of 3 used By following these steps, you will learn to calculate the confidence interval for the given data. This method ensures accuracy and a better understanding of the confidence intervals in statistical analysis.
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