Which of the following is not a condition required for a valid ANOVA F-test for a completely randomized experiment? 1. The sample chosen from each of the populations is sufficiently large. 2. The variances of all the sampled populations are equal. 3. The sampled populations all have distributions that are approximately normal. 4. The samples are chosen from each population in an independent manner.

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Answer:

1. The sample chosen from each of the populations is sufficiently large.

Step-by-step explanation:

ANOVA is known as analysis of variance and it is a statistical process which is used to test the degree to which two or more groups vary or differ in an experiment.

The variances of all the sampled populations are usually equal. The sampled populations all have distributions that are approximately normal and the samples are chosen from each population in an independent manner.

The one that is not a condition required for a valid ANOVA F-test for a completely randomized experiment is A. The sample chosen from each of the populations is sufficiently large.

  • It should be noted that ANOVA is known as analysis of variance. It is a statistical process that is used to test the degree to which two or more groups vary in an experiment.

  • When doing the ANOVA, it should be noted that it isn't necessary for all the sample chosen from each of the populations to be sufficiently large.

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