Consider the following ANOVA table from a randomized block design with 4 treatment levels and 7 blocks. Round your answer to three decimal places. Source SS df MS Treatment Block Error Total 15 43.5 20 Calculate the F-test statistics and fill in the blanks.

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### ANOVA Analysis for Randomized Block Design

Consider the following ANOVA table from a randomized block design with 4 treatment levels and 7 blocks. Round your answer to three decimal places.

| Source    | SS   | df | MS  | F    |
|-----------|------|----|-----|------|
| Treatment | 15   |    |     |      |
| Block     | 43.5 |    |     |      |
| Error     | 20   |    |     |      |
| Total     |      |    |     |      |

#### Steps to Calculate the F-test Statistics:

1. **Degrees of Freedom (df):**
   - **Treatment:** The degrees of freedom for the treatment can be calculated as the number of treatment levels minus 1. 
   - **Block:** The degrees of freedom for the block can be calculated as the number of blocks minus 1.
   - **Error:** The degrees of freedom for the error can be calculated as the product of (number of treatment levels - 1) and (number of blocks - 1).
   - **Total:** The total degrees of freedom can be calculated as the number of observations minus 1 or the sum of the degrees of freedom for treatment, block, and error.

2. **Mean Square (MS):**
   - MS is obtained by dividing SS by its respective degrees of freedom (df).
   - **MS (Treatment):** \( \frac{SS_{\text{Treatment}}}{df_{\text{Treatment}}} \)
   - **MS (Block):** \( \frac{SS_{\text{Block}}}{df_{\text{Block}}} \)
   - **MS (Error):** \( \frac{SS_{\text{Error}}}{df_{\text{Error}}} \)

3. **F-value:**
   - The F-value for treatment is obtained by dividing \( MS_{\text{Treatment}} \) by \( MS_{\text{Error}} \).
   - The F-value for block is obtained by dividing \( MS_{\text{Block}} \) by \( MS_{\text{Error}} \).

#### Calculate the F-test statistics and fill in the blanks in the ANOVA table.

Note:
- SS stands for Sum of Squares.
- df stands for Degrees of Freedom.
- MS stands for Mean Square.
- F stands for F-value.
Transcribed Image Text:### ANOVA Analysis for Randomized Block Design Consider the following ANOVA table from a randomized block design with 4 treatment levels and 7 blocks. Round your answer to three decimal places. | Source | SS | df | MS | F | |-----------|------|----|-----|------| | Treatment | 15 | | | | | Block | 43.5 | | | | | Error | 20 | | | | | Total | | | | | #### Steps to Calculate the F-test Statistics: 1. **Degrees of Freedom (df):** - **Treatment:** The degrees of freedom for the treatment can be calculated as the number of treatment levels minus 1. - **Block:** The degrees of freedom for the block can be calculated as the number of blocks minus 1. - **Error:** The degrees of freedom for the error can be calculated as the product of (number of treatment levels - 1) and (number of blocks - 1). - **Total:** The total degrees of freedom can be calculated as the number of observations minus 1 or the sum of the degrees of freedom for treatment, block, and error. 2. **Mean Square (MS):** - MS is obtained by dividing SS by its respective degrees of freedom (df). - **MS (Treatment):** \( \frac{SS_{\text{Treatment}}}{df_{\text{Treatment}}} \) - **MS (Block):** \( \frac{SS_{\text{Block}}}{df_{\text{Block}}} \) - **MS (Error):** \( \frac{SS_{\text{Error}}}{df_{\text{Error}}} \) 3. **F-value:** - The F-value for treatment is obtained by dividing \( MS_{\text{Treatment}} \) by \( MS_{\text{Error}} \). - The F-value for block is obtained by dividing \( MS_{\text{Block}} \) by \( MS_{\text{Error}} \). #### Calculate the F-test statistics and fill in the blanks in the ANOVA table. Note: - SS stands for Sum of Squares. - df stands for Degrees of Freedom. - MS stands for Mean Square. - F stands for F-value.
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