MCQ on ANOVA (Analysis of Variance)




ANOVA (Analysis of Variance) is a statistical technique that assesses the variance between multiple groups to determine if there are significant differences in their means. It helps in comparing means beyond two groups, identifying patterns, and assessing the impact of various factors in an experiment. Use this MCQ on ANOVA to understand the concept of Analysis of Variance.

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ANOVA stands for:

ANOVA is used to compare:

In one-way ANOVA, the null hypothesis states that:

The F-test in ANOVA is based on the ratio of:

In a one-way ANOVA, the degrees of freedom for the numerator (between-group variance) are calculated as:

The total sum of squares in ANOVA represents:

The p-value in ANOVA represents:

Post hoc tests in ANOVA are used to:

In a two-way ANOVA, the main effect refers to:

ANOVA assumes that the dependent variable is measured on a(n):



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