4. Construct the 95% confidence interval for µ₁ − µ2, the average score difference between group A and B. Please show your derivation steps, no calculations is needed. (1). Derive the distribution of Y₁. - Y2. and construct the 95% confidence interval for ₁-₂ when the variance o² is known.
4. Construct the 95% confidence interval for µ₁ − µ2, the average score difference between group A and B. Please show your derivation steps, no calculations is needed. (1). Derive the distribution of Y₁. - Y2. and construct the 95% confidence interval for ₁-₂ when the variance o² is known.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:**Question 4:** Construct the 95% confidence interval for \( \mu_1 - \mu_2 \), the average score difference between group A and B. Please show your derivation steps; no calculations are needed.
1. Derive the distribution of \( \overline{Y}_1 - \overline{Y}_2 \), and construct the 95% confidence interval for \( \mu_1 - \mu_2 \) when the variance \( \sigma^2 \) is known.

Transcribed Image Text:**Setup:** In an experiment to compare different methods of teaching arithmetic, a group of students were randomly divided into three equal-sized groups. Group A was taught by the current method, while the other two groups were taught by one of two new methods. At the end, each student took a standardized test, with the following results:
| Group | Score | \(\bar{Y}_{i\cdot}\) | \((\bar{Y}_{i\cdot} - \bar{Y}_{\cdot\cdot})^2\) | \(s_i^2\) |
|-------|---------------------|----------------------|-----------------------------------|----------|
| A | 17 14 24 20 24 23 16 15 14 | 18.55 | 0.664 | 18.03 |
| B | 19 28 26 26 19 24 24 23 22 | 23.44 | 16.60 | 9.53 |
| C | 21 14 13 19 15 10 10 18 20 | 16.11 | 10.62 | 13.11 |
| Grand | | 19.37 | | |
### Table Explanation:
- **Group:** Represents the group label; A, B, and C.
- **Score:** Lists the scores obtained by students in each group on the standardized test.
- \(\bar{Y}_{i\cdot}\): Represents the mean score for each group.
- \((\bar{Y}_{i\cdot} - \bar{Y}_{\cdot\cdot})^2\): Denotes the squared difference between the group's mean score and the overall mean score across all groups.
- \(s_i^2\): Represents the variance of students' scores within each group.
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