Which of the following statements is least accurate with respect to parametric and nonparametric tests? A. A nonparametric test makes very little assumptions about the distribution of the underlying population. B. Nonparametric tests may be used when the hypothesis does not concern a parameter. C. Nonparametric tests cannot be used when data is expressed in terms of ranks. D. A parametric test makes specific assumptions about the distribution of the underlying population

D.

D.

C - Nonparametric tests cannot be used when data is expressed in terms of ranks.

I thought the comment is C regards parametric tests.

mcf Wrote: ------------------------------------------------------- > I thought the comment is C regards parametric > tests. Nonparametric tests CAN be used when data is expressed in terms of ranks, its one of the features, right?

I believe that is correct. SO if the answer D?

Correct Answer: C. Nonparametric tests may certainly be used when data is expressed in terms of ranks.

Wow… i’m having some serious “least likely” issues on questions today…

Either way, wouldnt D or A cancel each other out. So it would just be between B & C…