Step 1: Understanding the ANOVA Table
ANOVA (Analysis of Variance) is a statistical method used to compare means among multiple groups. The main components of an ANOVA table include:
- Sum of Squares (SS): Measures total variability.
- Degrees of Freedom (df): The number of independent comparisons.
- Mean Square (MS): Computed as Sum of Squares divided by Degrees of Freedom.
- F-Ratio: The test statistic calculated as the ratio of variances.
Step 2: Evaluating the Given Options
- Option (A) F ratio: A key component used to determine significance.
- Option (B) Sum of Squares: Measures total variation in the data.
- Option (C) Degree of Freedom: Essential for calculating the Mean Square values.
- Option (D) Correction Term: This is not a standard component in an ANOVA table.
Step 3: Conclusion
Since the Correction Term is not a part of the ANOVA table, option (D) is the correct answer.