Question

-Which assumption can be violated when conducting a chi-square test of independence, yet still allow the chi-square value to be calculated?

homogeneity of variances

expected frequencies

random samples

independence of observations

- If R = 3, C = 3, and alpha is set at .05, what would the critical value be for a chi-square test of independence?

12.592

9.488

7.815

16.919

-Under what condition is the interpretation of Pearson's r and Cramer's V the same?

when a chi-square analysis is conducted with higher-order data

Pearson's r and Cramer's V are never interpreted in the same way

when the null hypothesis is rejected

when df_RC = 1

-As df_RC increases, what happens to the values of Cramer's V needed to achieve small, medium, and large effect sizes?

The values decrease

The values depend on the sample size

The values increase

The values stay the same

Answer 1

Answer: -Which assumption can be violated when conducting a chi-square test of independence, yet still allow the chi-square value to be calculated?

Solution:

The data violate the assumptions of equal variance or homoscedasticity.

The first option is correct answer.

homogeneity of variances.

Answer: If R = 3, C = 3, and alpha is set at .05, what would the critical value be for a chi-square test of independence?

Solution:

At α = 0.05

df = (r-1)(c-1)

df = (3-1)(3-1)

df = 4

Critical value of χ2 (for right tail test):

Critical χ2 (α, df) = 9.4877

The second option is correct answer.

critical value of χ2 = 9.488

Answer: Under what condition is the interpretation of Pearson's r and Cramer's V the same?

Solution:

The second option is correct answer.

Pearson's r and Cramer's V are never interpreted in the same way.

Answer: As dfRC increases, what happens to the values of Cramer's V needed to achieve small, medium, and large effect sizes?

The first option is correct answer.

The values decreases.

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