Which of the following statements are not true?
A) A non-parametric test is one that makes no assumptions about the specific shape of the population from which a sample is drawn.
B) A non-parametric test is used instead of its parametric counterpart when the data are of the nominal or ordinal scales of measurement.
C) A non-parametric test is used instead of its parametric counterpart when the data are of the interval or ratio scales of measurement,but one or more other assumptions (e.g.,the normality of the underlying distribution)are not met.
D) Unlike parametric methods,non-parametric techniques can be applied even when the sample sizes are very small.
E) All of these statements are true.

Question

Quizplus · Accepted Answer

All the statements provided accurately describe characteristics of non-parametric tests, making them all true. Non-parametric tests do not assume a specific distribution shape, are suitable for nominal or ordinal data, can be used for interval or ratio data when certain assumptions are not met, and are applicable for small sample sizes.

Which of the Following Statements Are Not True