Find the value of the test statistic for factor B. (Round your answer to two decimal places.) Find the p-value for factor B. (Round your answer to three decimal places.) p-value = State your conclusion about factor B. O Because the p-value ≤ α = 0.05, factor B is not significant. Because the p-value > a = 0.05, factor B is not significant. O Because the p-value > a = 0.05, factor B is significant. O Because the p-value ≤ α = 0.05, factor B is significant. Find the value of the test statistic for the interaction between factors A and B. (Round your answer to two decimal places.) Find the p-value for the interaction between factors A and B. (Round your answer to three decimal places.) p-value = State your conclusion about the interaction between factors A and B. Because the p-value ≤ α = 0.05, the interaction between factors A and B is significant. O Because the p-value > a = 0.05, the interaction between factors A and B is not significant. O Because the p-value > a = 0.05, the interaction between factors A and B is significant. O Because the p-value ≤ α = 0.05, the interaction between factors A and B is not significant.
Find the value of the test statistic for factor B. (Round your answer to two decimal places.) Find the p-value for factor B. (Round your answer to three decimal places.) p-value = State your conclusion about factor B. O Because the p-value ≤ α = 0.05, factor B is not significant. Because the p-value > a = 0.05, factor B is not significant. O Because the p-value > a = 0.05, factor B is significant. O Because the p-value ≤ α = 0.05, factor B is significant. Find the value of the test statistic for the interaction between factors A and B. (Round your answer to two decimal places.) Find the p-value for the interaction between factors A and B. (Round your answer to three decimal places.) p-value = State your conclusion about the interaction between factors A and B. Because the p-value ≤ α = 0.05, the interaction between factors A and B is significant. O Because the p-value > a = 0.05, the interaction between factors A and B is not significant. O Because the p-value > a = 0.05, the interaction between factors A and B is significant. O Because the p-value ≤ α = 0.05, the interaction between factors A and B is not significant.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
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The factor B questions please. (secound photo first 3 questions)
![### Statistical Analysis for Factors A and B
#### Factor B Analysis
1. **Find the value of the test statistic for factor B.**
(Round your answer to two decimal places.)
[Input Box]
2. **Find the *p*-value for factor B.**
(Round your answer to three decimal places.)
*p*-value = [Input Box]
3. **State your conclusion about factor B:**
- ( ) Because the *p*-value ≤ α = 0.05, factor B is not significant.
- ( ) Because the *p*-value > α = 0.05, factor B is not significant.
- ( ) Because the *p*-value > α = 0.05, factor B is significant.
- ( ) Because the *p*-value ≤ α = 0.05, factor B is significant.
#### Interaction Between Factors A and B Analysis
4. **Find the value of the test statistic for the interaction between factors A and B.**
(Round your answer to two decimal places.)
[Input Box]
5. **Find the *p*-value for the interaction between factors A and B.**
(Round your answer to three decimal places.)
*p*-value = [Input Box]
6. **State your conclusion about the interaction between factors A and B:**
- ( ) Because the *p*-value ≤ α = 0.05, the interaction between factors A and B is significant.
- ( ) Because the *p*-value > α = 0.05, the interaction between factors A and B is not significant.
- ( ) Because the *p*-value > α = 0.05, the interaction between factors A and B is significant.
- ( ) Because the *p*-value ≤ α = 0.05, the interaction between factors A and B is not significant.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8ad87420-52d2-4e34-815e-eb9bcb5c95c0%2F9aeca42e-f973-4618-a8ed-8d37051067bc%2Fju5r7aj_processed.png&w=3840&q=75)
Transcribed Image Text:### Statistical Analysis for Factors A and B
#### Factor B Analysis
1. **Find the value of the test statistic for factor B.**
(Round your answer to two decimal places.)
[Input Box]
2. **Find the *p*-value for factor B.**
(Round your answer to three decimal places.)
*p*-value = [Input Box]
3. **State your conclusion about factor B:**
- ( ) Because the *p*-value ≤ α = 0.05, factor B is not significant.
- ( ) Because the *p*-value > α = 0.05, factor B is not significant.
- ( ) Because the *p*-value > α = 0.05, factor B is significant.
- ( ) Because the *p*-value ≤ α = 0.05, factor B is significant.
#### Interaction Between Factors A and B Analysis
4. **Find the value of the test statistic for the interaction between factors A and B.**
(Round your answer to two decimal places.)
[Input Box]
5. **Find the *p*-value for the interaction between factors A and B.**
(Round your answer to three decimal places.)
*p*-value = [Input Box]
6. **State your conclusion about the interaction between factors A and B:**
- ( ) Because the *p*-value ≤ α = 0.05, the interaction between factors A and B is significant.
- ( ) Because the *p*-value > α = 0.05, the interaction between factors A and B is not significant.
- ( ) Because the *p*-value > α = 0.05, the interaction between factors A and B is significant.
- ( ) Because the *p*-value ≤ α = 0.05, the interaction between factors A and B is not significant.
![### Factorial Experiment Data Analysis
A factorial experiment involving two levels of Factor A and three levels of Factor B resulted in the following data:
#### Data Table
| Factor A | Factor B: Level 1 | Factor B: Level 2 | Factor B: Level 3 |
|----------|-------------------|-------------------|-------------------|
| Level 1 | 131 | 94 | 75 |
| | 161 | 70 | 93 |
| Level 2 | 129 | 123 | 120 |
| | 99 | 101 | 136 |
**Instructions:**
1. **Test for any significant main effects and any interaction.**
Use a significance level of \( \alpha = 0.05 \).
2. **Find the value of the test statistic for Factor A.**
(Round your answer to two decimal places.)
- Test Statistic: [Input Field]
3. **Find the \( p \)-value for Factor A.**
(Round your answer to three decimal places.)
- \( p \)-value: [Input Field]
4. **State your conclusion about Factor A.**
- [ ] Because the \( p \)-value > \( \alpha = 0.05 \), Factor A is significant.
- [ ] Because the \( p \)-value > \( \alpha = 0.05 \), Factor A is not significant.
- [ ] Because the \( p \)-value \( \leq \alpha = 0.05 \), Factor A is not significant.
- [ ] Because the \( p \)-value \( \leq \alpha = 0.05 \), Factor A is significant.
5. **Find the value of the test statistic for Factor B.**
(Round your answer to two decimal places.)
- Test Statistic: [Input Field]
6. **Find the \( p \)-value for Factor B.**
(Round your answer to three decimal places.)
- \( p \)-value: [Input Field]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8ad87420-52d2-4e34-815e-eb9bcb5c95c0%2F9aeca42e-f973-4618-a8ed-8d37051067bc%2Ft4jdae_processed.png&w=3840&q=75)
Transcribed Image Text:### Factorial Experiment Data Analysis
A factorial experiment involving two levels of Factor A and three levels of Factor B resulted in the following data:
#### Data Table
| Factor A | Factor B: Level 1 | Factor B: Level 2 | Factor B: Level 3 |
|----------|-------------------|-------------------|-------------------|
| Level 1 | 131 | 94 | 75 |
| | 161 | 70 | 93 |
| Level 2 | 129 | 123 | 120 |
| | 99 | 101 | 136 |
**Instructions:**
1. **Test for any significant main effects and any interaction.**
Use a significance level of \( \alpha = 0.05 \).
2. **Find the value of the test statistic for Factor A.**
(Round your answer to two decimal places.)
- Test Statistic: [Input Field]
3. **Find the \( p \)-value for Factor A.**
(Round your answer to three decimal places.)
- \( p \)-value: [Input Field]
4. **State your conclusion about Factor A.**
- [ ] Because the \( p \)-value > \( \alpha = 0.05 \), Factor A is significant.
- [ ] Because the \( p \)-value > \( \alpha = 0.05 \), Factor A is not significant.
- [ ] Because the \( p \)-value \( \leq \alpha = 0.05 \), Factor A is not significant.
- [ ] Because the \( p \)-value \( \leq \alpha = 0.05 \), Factor A is significant.
5. **Find the value of the test statistic for Factor B.**
(Round your answer to two decimal places.)
- Test Statistic: [Input Field]
6. **Find the \( p \)-value for Factor B.**
(Round your answer to three decimal places.)
- \( p \)-value: [Input Field]
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