Why should we use parametric statistical tests when analyzing ...

[D2AR0N]

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]

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.

[D2AR0N]

Thanks for the timely response, appreciate it

[kusterl]

Great answer, keep it coming