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    In a 4 × 3 factorial design with A and B as two factors, the sum of squares for A is 42, and the mean square for error is 5. What will be the "F" rati
    Question




    In a 4 × 3 factorial design with A and B as two factors, the sum of squares for A is 42, and the mean square for error is 5. What will be the "F" ratio associated with the main effect of A?

    A.

    8.4

    B.

     4.2

    C.

    2.8

    D.

     2.1

    Correct option is C

    The F ratio is calculated as:

    • Degrees of Freedom for Factor A (dfA):
      k−1=4−1=3, where k is the number of levels for Factor A.

    Thus, the F ratio associated with the main effect of Factor A is 8.8.

    Information Booster

    Key Features of ANOVA

    1. Purpose:

    • ANOVA tests whether the means of different groups are significantly different from one another.

    • It identifies the impact of one or more independent variables (factors) on a dependent variable.

    2. Types of ANOVA:

    • One-way ANOVA: Compares the means of three or more groups based on one independent variable.

    • Two-way ANOVA: Examines the effect of two independent variables and their interaction on the dependent variable.

    • Repeated Measures ANOVA: Compares means where the same subjects are measured under different conditions or at different times.

    • Factorial ANOVA: Used when more than one independent variable is present.

    3. Components of Variance:

    • Between-group variance: Measures differences between group means due to the effect of the independent variable.

    • Within-group variance: Reflects variability within each group due to random error.

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