When comparing means in a single-factor multiple group design,which statistical analysis is most appropriate?
A)independent-measures t test
B)repeated-measures t test
C)single-factor analysis of variance
D)chi-square test for independence

Question

When comparing means in a single-factor multiple group design,which statistical analysis is most appropriate?
A)​independent-measures t test
B)​repeated-measures t test 
C)single-factor analysis of variance
D)​chi-square test for independence

Quizplus · Accepted Answer

Single-factor analysis of variance (ANOVA) is the most appropriate statistical analysis for comparing means in a single-factor multiple group design. ANOVA is used to determine whether there is a significant difference between the means of three or more groups. It will provide an F-value that compares the variability between the groups to the variability within the groups. If the F-value is significant, post-hoc tests can be used to determine which specific groups differ significantly from each other. The independent-measures t test is appropriate for comparing means between two independent groups, while the repeated-measures t test is used for comparing means in a within-subjects design. The chi-square test for independence is a non-parametric test used to determine if there is a relationship between two categorical variables.

When Comparing Means in a Single-Factor Multiple Group Design,which Statistical