Assumptions underlying the independent-measures ANOVA Which of the following are assumptions underlying independent-measures analysis of variance? Check all that apply. The samples are drawn from populations of unequal variance. The observations are independent of one another. The populations from which the samples are taken follow a t-distribution. Each of the populations of scores from which the samples are drawn has the same variance.

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Jose Villa

Mathematics

13 March, 12:49

Assumptions underlying the independent-measures ANOVA Which of the following are assumptions underlying independent-measures analysis of variance? Check all that apply. The samples are drawn from populations of unequal variance. The observations are independent of one another. The populations from which the samples are taken follow a t-distribution. Each of the populations of scores from which the samples are drawn has the same variance.

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Yazmin Faulkner · Answer 1

(b) The observations are independent of one another.

(d) Each of the populations of scores from which the samples are drawn has the same variance.

Step-by-step explanation:

Analysis of Variance (ANOVA) is used to compare the means of two or more samples using F-distribution.

The ANOVA has assumption based on dependent and independent variables. These are:

The data should be distributed normally. The variance should be equal for population. The data should be independent from each other. Sample size should be greater than 20.

Thus, Option (b) and (d) are the only assumption here that follow the ANOVA.