Identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim. Use a significance level of 0.05 to test the claim. One-way ANOVA: Source DF SS MS F P Size 3 30 10.00 1.6 0.264 Error 8 50 6.25 Total 11 80 Null Hypothesis, HO Alternative Hypothesis, H1 Test Statistic, F P-value Significance level Conclusion > <
Identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim. Use a significance level of 0.05 to test the claim. One-way ANOVA: Source DF SS MS F P Size 3 30 10.00 1.6 0.264 Error 8 50 6.25 Total 11 80 Null Hypothesis, HO Alternative Hypothesis, H1 Test Statistic, F P-value Significance level Conclusion > <
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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![**Educational Content on Statistical Analysis: One-Way ANOVA**
In this example, we will identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim. We will use a significance level of 0.05 to test the claim.
### One-way ANOVA Results:
Below is a table containing the ANOVA results:
| Source | DF | SS | MS | F | P |
|--------|-----|-----|------|-----|-------|
| Size | 3 | 30 | 10.00| 1.6 | 0.264 |
| Error | 8 | 50 | 6.25 | | |
| Total | 11 | 80 | | | |
**Explanation of Table Components:**
- **Source**: This column indicates the sources of variation (e.g., "Size" and "Error").
- **DF (Degrees of Freedom)**: This represents the number of values in the final calculation of a statistic that are free to vary.
- **SS (Sum of Squares)**: This depicts the total variation, within and between groups.
- **MS (Mean Square)**: This is an average of the sum of squares (SS) divided by their respective DF.
- **F**: This is the test statistic derived from dividing the Mean Square between groups by the Mean Square within groups.
- **P**: The P-value corresponds to the test statistic, indicating the probability of observing the results assuming that the null hypothesis is true.
### Step-by-Step Identification and Calculation:
1. **Null Hypothesis, H0**:
- This is the hypothesis that there is no difference between the means. Formally: \( H0: \mu_1 = \mu_2 = \mu_3 = \mu_4 \)
2. **Alternative Hypothesis, H1**:
- This hypothesis states that at least one group mean is different. Formally: \( H1: \text{At least one }\mu_i \text{ differs} \)
3. **Test Statistic, F**:
- The F-value from the table is 1.6.
4. **P-value**:
- From the table, the P-value is 0.264.
5. **Significance Level**:](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa47ee829-75ba-4f55-8a9d-b9984c81c5d2%2F733edcc5-0702-4490-8e83-5fa9e791d7d1%2Fx43nu53_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Educational Content on Statistical Analysis: One-Way ANOVA**
In this example, we will identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim. We will use a significance level of 0.05 to test the claim.
### One-way ANOVA Results:
Below is a table containing the ANOVA results:
| Source | DF | SS | MS | F | P |
|--------|-----|-----|------|-----|-------|
| Size | 3 | 30 | 10.00| 1.6 | 0.264 |
| Error | 8 | 50 | 6.25 | | |
| Total | 11 | 80 | | | |
**Explanation of Table Components:**
- **Source**: This column indicates the sources of variation (e.g., "Size" and "Error").
- **DF (Degrees of Freedom)**: This represents the number of values in the final calculation of a statistic that are free to vary.
- **SS (Sum of Squares)**: This depicts the total variation, within and between groups.
- **MS (Mean Square)**: This is an average of the sum of squares (SS) divided by their respective DF.
- **F**: This is the test statistic derived from dividing the Mean Square between groups by the Mean Square within groups.
- **P**: The P-value corresponds to the test statistic, indicating the probability of observing the results assuming that the null hypothesis is true.
### Step-by-Step Identification and Calculation:
1. **Null Hypothesis, H0**:
- This is the hypothesis that there is no difference between the means. Formally: \( H0: \mu_1 = \mu_2 = \mu_3 = \mu_4 \)
2. **Alternative Hypothesis, H1**:
- This hypothesis states that at least one group mean is different. Formally: \( H1: \text{At least one }\mu_i \text{ differs} \)
3. **Test Statistic, F**:
- The F-value from the table is 1.6.
4. **P-value**:
- From the table, the P-value is 0.264.
5. **Significance Level**:
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