a. Use Fisher's LSD method to determine which population means differ at a = 0.05. (Negative values should be indicated by a minus sign. Round final answers to 2 decimal points.)
a. Use Fisher's LSD method to determine which population means differ at a = 0.05. (Negative values should be indicated by a minus sign. Round final answers to 2 decimal points.)
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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Question
![The following statistics are calculated by sampling from four normal populations whose variances are equal: **(You may find it useful to reference the t table and the q table.)**
\[
\bar{x}_1 = 137, \quad n_1 = 4; \quad \bar{x}_2 = 148, \quad n_2 = 4; \quad \bar{x}_3 = 142, \quad n_3 = 4; \quad \bar{x}_4 = 135, \quad n_4 = 4; \quad \text{MSE} = 46.6
\]
**a.** Use Fisher's LSD method to determine which population means differ at \(\alpha = 0.05\). **(Negative values should be indicated by a minus sign. Round final answers to 2 decimal points.)**
| Population Mean Differences | Confidence Interval | Can we conclude that the population means differ? |
|-----------------------------|---------------------|---------------------------------------------------|
| \(\mu_1 - \mu_2\) | [ ] | [ ] |
| \(\mu_1 - \mu_3\) | [ ] | [ ] |
| \(\mu_1 - \mu_4\) | [ ] | [ ] |
| \(\mu_2 - \mu_3\) | [ ] | [ ] |
| \(\mu_2 - \mu_4\) | [ ] | [ ] |
| \(\mu_3 - \mu_4\) | [ ] | [ ] |](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F21d4eb06-eaa2-4705-83a6-21563ae4212f%2F01cd5fd9-5e97-4cba-ac6a-0500c37d4a7d%2Fb9vhq3h_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The following statistics are calculated by sampling from four normal populations whose variances are equal: **(You may find it useful to reference the t table and the q table.)**
\[
\bar{x}_1 = 137, \quad n_1 = 4; \quad \bar{x}_2 = 148, \quad n_2 = 4; \quad \bar{x}_3 = 142, \quad n_3 = 4; \quad \bar{x}_4 = 135, \quad n_4 = 4; \quad \text{MSE} = 46.6
\]
**a.** Use Fisher's LSD method to determine which population means differ at \(\alpha = 0.05\). **(Negative values should be indicated by a minus sign. Round final answers to 2 decimal points.)**
| Population Mean Differences | Confidence Interval | Can we conclude that the population means differ? |
|-----------------------------|---------------------|---------------------------------------------------|
| \(\mu_1 - \mu_2\) | [ ] | [ ] |
| \(\mu_1 - \mu_3\) | [ ] | [ ] |
| \(\mu_1 - \mu_4\) | [ ] | [ ] |
| \(\mu_2 - \mu_3\) | [ ] | [ ] |
| \(\mu_2 - \mu_4\) | [ ] | [ ] |
| \(\mu_3 - \mu_4\) | [ ] | [ ] |
![The image contains a table and a multiple-choice question related to the application of Tukey's HSD (Honestly Significant Difference) method. The table is intended to help determine which population means differ at a significance level of \( \alpha = 0.05 \).
### Table Explanation:
- **Columns:**
1. **Population Mean Differences:** Lists pairs of population means to compare (e.g., \( \mu_1 - \mu_2 \)).
2. **Confidence Interval:** Provides a space for recording the calculated confidence intervals for the differences between the means. Each interval is represented as [, ].
3. **Can we conclude that the population means differ?** This column is for concluding whether there is a significant difference between the means, based on the confidence intervals.
- **Row Content:**
- Each row focuses on a specific pair of population means, comparing them using the Tukey's HSD method.
### Instructions:
- Use the Tukey's HSD method to fill in the confidence intervals for each pair of population means.
- If the exact value for \( \frac{nT - c}{\text{(degrees of freedom)}} \) is not found in the table necessary for calculations, round down the value.
- Round the final answers to 2 decimal places.
- Indicate negative values with a minus sign.
### Multiple Choice Question:
- **Question:** Do all population means differ?
- **Options:**
- ○ No, none of the population means differ.
- ○ No, only some of the population means differ.
- ○ Yes, all population means differ.
The exercise is designed to help students understand the application of Tukey's HSD for determining significant differences between means in multiple pairwise comparisons.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F21d4eb06-eaa2-4705-83a6-21563ae4212f%2F01cd5fd9-5e97-4cba-ac6a-0500c37d4a7d%2Fcu110ed_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The image contains a table and a multiple-choice question related to the application of Tukey's HSD (Honestly Significant Difference) method. The table is intended to help determine which population means differ at a significance level of \( \alpha = 0.05 \).
### Table Explanation:
- **Columns:**
1. **Population Mean Differences:** Lists pairs of population means to compare (e.g., \( \mu_1 - \mu_2 \)).
2. **Confidence Interval:** Provides a space for recording the calculated confidence intervals for the differences between the means. Each interval is represented as [, ].
3. **Can we conclude that the population means differ?** This column is for concluding whether there is a significant difference between the means, based on the confidence intervals.
- **Row Content:**
- Each row focuses on a specific pair of population means, comparing them using the Tukey's HSD method.
### Instructions:
- Use the Tukey's HSD method to fill in the confidence intervals for each pair of population means.
- If the exact value for \( \frac{nT - c}{\text{(degrees of freedom)}} \) is not found in the table necessary for calculations, round down the value.
- Round the final answers to 2 decimal places.
- Indicate negative values with a minus sign.
### Multiple Choice Question:
- **Question:** Do all population means differ?
- **Options:**
- ○ No, none of the population means differ.
- ○ No, only some of the population means differ.
- ○ Yes, all population means differ.
The exercise is designed to help students understand the application of Tukey's HSD for determining significant differences between means in multiple pairwise comparisons.
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