Analysis of Factorial ANOVA MCQs
Analysis of Factorial ANOVA MCQs
Our team has conducted extensive research to compile a set of Analysis of Factorial ANOVA MCQs. We encourage you to test your Analysis of Factorial ANOVA knowledge by answering these multiple-choice questions provided below.
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1: The term Highly Significant has the connotation of judgment so the significant results can be reported_____
A. At lowest p level possible
B. As nonsignificant
C. As not significant
D. All of these
2: Omega Squared is a measure of effect size in ANOVA that can be interpreted as the _____ in the dependent variable accounted for by the independent variable.
A. Sum of variance
B. Square of variance
C. Percentage of variance
D. Percentage of squared variance
3: Statisticians avoid the use of phrase “The Null Hypothesis was accepted” because of the reason that_____
A. The experiment may lack power
B. The independent variable may have too weak an effect
C. The dependent variable may be insensitive to the independent variable
D. All of these
4: What is the purpose of factorial ANOVA?
A. To compare the means of two or more independent groups
B. To examine the main effects and interaction effects of two or more independent variables
C. To assess the relationship between two continuous variables
D. To analyze the association between two categorical variables
5: How many independent variables are involved in a 2x2 factorial ANOVA?
A. One
B. Two
C. Three
D. Four
6: What does a main effect represent in factorial ANOVA?
A. The combined effect of two or more independent variables
B. The effect of one independent variable while controlling for the other variables
C. The interaction between two independent variables
D. The effect of the dependent variable on the independent variables
7: What is the purpose of conducting post hoc tests in factorial ANOVA?
A. To compare the means of all possible combinations of independent variables
B. To determine the presence of main effects and interaction effects
C. To identify specific differences between groups after finding a significant F-value
D. To assess the normality assumption of the data
8: What does an interaction effect indicate in factorial ANOVA?
A. The presence of a significant difference between two or more independent groups
B. The combined effect of two or more independent variables
C. The presence of an effect that is different across levels of the independent variables
D. The association between two continuous variables
9: What is a two-way factorial ANOVA?
A. An analysis involving two independent variables
B. An analysis involving two dependent variables
C. An analysis involving two covariates
D. An analysis involving two continuous variables
10: How are the sum of squares (SS) partitioned in factorial ANOVA?
A. Into between-group and within-group SS
B. Into main effect SS and interaction effect SS
C. Into total SS, explained SS, and residual SS
D. Into systematic SS and error SS
11: How are degrees of freedom (df) determined in factorial ANOVA?
A. Based on the sample size of the study
B. Based on the number of levels within each independent variable
C. Based on the number of groups and the sample size in each group
D. Based on the number of dependent variables in the analysis
12: What is the purpose of calculating effect size in factorial ANOVA?
A. To assess the statistical significance of the results
B. To determine the power of the study
C. To measure the magnitude of the main and interaction effects
D. To compare the means of the different groups
13: What does a significant p-value indicate in factorial ANOVA?
A. The presence of a significant effect in the data
B. The absence of any main or interaction effects
C. The need for further analysis using post hoc tests
D. The likelihood of obtaining the observed results by chance alone
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Analysis of Factorial ANOVA MCQs
