In contrast to a chi-square test, an ANOVA F test is most appropriate when the A

Question

In contrast to a chi-square test, an ANOVA F test is most appropriate when the

A. standard deviations are not equal.
B. data are quantitative.
C. number of samples is two.
D. samples sizes are equal.
E. standard deviations must be estimated.

(b) The alternative hypothesis for an ANOVA F test is that

A. all of the population means are not equal.
B. none of the population means are equal.
C. at least two of the population means are not equal.
D. none of the population variances are equal.
E. all of the population variances are not equal.

(c) The null hypothesis for an ANOVA F test is that

A. population means are equal.
B. sample standard deviations are not equal.
C. sample means are equal.
D. sample sizes are equal.
E. population standard deviations are not equal.

Explanation / Answer

b) The alternative hypothesis for an ANOVA F test is that

Ans) none of the population means are equal.

c) The null hypothesis for an ANOVA F test is that
ans) population means are equal.

a) In contrast to a chi-square test, an ANOVA F test is most appropriate when the

Ans)  for quantitative data

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