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Question 155 - DA0-001 discussion

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Which of the following is a non-parametric test?

A.
One-sample t-test
Answers
A.
One-sample t-test
B.
Two-way ANOVA
Answers
B.
Two-way ANOVA
C.
Correlation coefficient
Answers
C.
Correlation coefficient
D.
Spearman's rank correlation
Answers
D.
Spearman's rank correlation
Suggested answer: D

Explanation:

The correct answer is D. Spearman's rank correlation.

Spearman's rank correlation is a non-parametric test that measures the strength and direction of the relationship between two variables that are ranked (ordinal) or continuous. Spearman's rank correlation does not assume that the data follows a normal distribution or that the variables are linearly related. Spearman's rank correlation is based on the ranks of the data rather than the actual values12

A) One-sample t-test is not correct, because it is a parametric test that compares the mean of a sample to a specified value. One-sample t-test assumes that the data follows a normal distribution and has a known population standard deviation34

B) Two-way ANOVA is not correct, because it is a parametric test that compares the means of two or more groups that are influenced by two independent factors. Two-way ANOVA assumes that the data follows a normal distribution, has homogeneous variances, and has independent observations.

C) Correlation coefficient is not correct, because it is a parametric test that measures the strength and direction of the linear relationship between two continuous variables. Correlation coefficient assumes that the data follows a bivariate normal distribution and has no outliers.

asked 02/10/2024
Bobby Pick
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