What is the appropriate statistical analysis for comparing non-numerical data for a differential design comparing samples representing two populations?
A)independent-measures t test
B)repeated-measures t test
C)independent-measures analysis of variance
D)chi-square test for independence

Question

What is the appropriate statistical analysis for comparing non-numerical data for a differential design comparing samples representing two populations?
A)​independent-measures t test
B)​repeated-measures t test
C)independent-measures analysis of variance
D)​chi-square test for independence

Quizplus · Accepted Answer

The appropriate statistical analysis for comparing non-numerical data is the chi-square test for independence. This test is used to determine whether there is a significant association between two categorical variables. In a differential design comparing samples representing two populations, this test can be used to determine whether there is a significant difference between the two populations with respect to the distribution of the non-numerical variable. Both the independent-measures t test and the repeated-measures t test are used to compare numerical data, while the independent-measures analysis of variance is used to compare means of multiple groups.

What Is the Appropriate Statistical Analysis for Comparing Non-Numerical Data