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Under the assumption of analysis of variance, the parent population should be-

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ANOVA requires: Normality, independence, and equal variance (homoscedasticity).
Updated On: Feb 20, 2026
  • Normally Distributed
  • Binomial Distribution
  • Poisson Distribution
  • Beta Distribution
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The Correct Option is A

Solution and Explanation

Step 1: ANOVA Overview.
Analysis of Variance (ANOVA) is a statistical method for comparing the means of more than two groups.
It operates by dividing the total variability into variability between groups and variability within groups.
Step 2: Distributional Requirement.
The validity of the F-test in ANOVA necessitates that the source population (from which samples originate) follows a normal distribution.
This condition ensures that the sampling distribution of the test statistic conforms to the F-distribution.
Step 3: Evaluation of Distributions.
- (1) Normal Distribution: Accurate. This is the essential assumption for ANOVA.
- (2) Binomial Distribution: Pertains to dichotomous outcomes (success/failure) and is not applicable to ANOVA assumptions.
- (3) Poisson Distribution: Used for modeling rare events; irrelevant to ANOVA's distributional assumption.
- (4) Beta Distribution: A continuous distribution for variables within a specific range; not an ANOVA assumption.
Step 4: Final Determination.
Consequently, for ANOVA to be applicable, the parent population must be normally distributed.
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