Compared to the chi-square goodness-of -fit test, when the data are ordinal, the Kolmogorov-Smirnov test
A) is more powerful.
B) is easier to compute.
C) does not require minimum cell frequencies for computations.
D) all of the above.
E) a and b only.

Question

Quizplus · Accepted Answer

The Kolmogorov-Smirnov test is a non-parametric test that can be used to compare the distribution of two samples. It is more powerful than the chi-square goodness-of-fit test when the data are ordinal, and it does not require minimum cell frequencies for computations.

Compared to the Chi-Square Goodness-Of -Fit Test, When the Data