Author Question: Why should we use parametric statistical tests when analyzing ordinal data if we could just as ... (Read 58 times)

D2AR0N · **on:** Jun 19, 2018

Why should we use parametric statistical tests when analyzing ordinal data if we could just as easily use nonparametric tests? We do so because _____.

a. nonparametric tests are too powerful
b. parametric tests are descriptive statistics
c. nonparametric tests take too long to compute
d. parametric tests are more powerful than nonparametric tests

Question 2

The inferential statistics for most ordinally scaled dependent measures are _____.

a. the t test and Chi-square c. the t test and Friedman's test
b. the t test and analysis of variance d. analysis of variance and Chi-square

guyanai · **Reply #1 on:** Jun 19, 2018

Answer to Question 1

D
Being more powerful, parametric tests are more likely to detect a relationship between variables if one exists than are nonparametric tests.

Answer to Question 2

B
Chi-square and Friedman's test are nonparametric statistics. Both the t test and the analysis of variance require at least ordinal data.