Complete the following ANOVA summary lable for a two-factor fixed-effecis ANOVA, where there are four levels of factor A (school) and three levels of factor B (curriculum design). Cach cell includes 15 students. SS df MS Source 2.832 0.04 B 3125.9 1.946 0.146 Ax B 8974.6 1.863 0.09 Crror 134904 TОTAL 153825.6

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The image is an ANOVA summary table for a two-factor fixed-effects ANOVA. It examines four levels of factor A (school) and three levels of factor B (curriculum design), with each cell containing 15 students.

The table displays the analysis with the following columns:

- **Source**: The factors and interactions examined, including Error and Total.
- **SS** (Sum of Squares): Variability attributed to each source.
- **df** (Degrees of Freedom): Needed to calculate the mean square and F-value.
- **MS** (Mean Square): SS divided by df, indicating variability per unit of degrees of freedom.
- **F**: The F-ratio calculated for each source.
- **P**: The probability value for testing significance.

Values given are:

- **A** (Factor A: School): 
  - SS = 2832.6
  - MS = 2832.6
  - F = 2.832
  - P = 0.04

- **B** (Factor B: Curriculum Design):
  - SS = 3125.9
  - MS = 1041.96
  - F = 1.946
  - P = 0.146

- **A x B** (Interaction):
  - SS = 8974.6
  - MS = 2991.53
  - F = 1.863
  - P = 0.09

- **Error**: 
  - SS = 134904

- **TOTAL**: 
  - SS = 153825.6

This table helps in determining whether there are significant differences among the means of the different levels of the factors and their interaction.
Transcribed Image Text:The image is an ANOVA summary table for a two-factor fixed-effects ANOVA. It examines four levels of factor A (school) and three levels of factor B (curriculum design), with each cell containing 15 students. The table displays the analysis with the following columns: - **Source**: The factors and interactions examined, including Error and Total. - **SS** (Sum of Squares): Variability attributed to each source. - **df** (Degrees of Freedom): Needed to calculate the mean square and F-value. - **MS** (Mean Square): SS divided by df, indicating variability per unit of degrees of freedom. - **F**: The F-ratio calculated for each source. - **P**: The probability value for testing significance. Values given are: - **A** (Factor A: School): - SS = 2832.6 - MS = 2832.6 - F = 2.832 - P = 0.04 - **B** (Factor B: Curriculum Design): - SS = 3125.9 - MS = 1041.96 - F = 1.946 - P = 0.146 - **A x B** (Interaction): - SS = 8974.6 - MS = 2991.53 - F = 1.863 - P = 0.09 - **Error**: - SS = 134904 - **TOTAL**: - SS = 153825.6 This table helps in determining whether there are significant differences among the means of the different levels of the factors and their interaction.
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