-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 dfRC = 1
-As dfRC 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: -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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-Which assumption can be violated when conducting a chi-square test of independence, yet still allow the...
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