Which of the following are statistical methods that require few assumptions, if any, about the distribution of the population?
A) Parametric techniques.
B) Inferential statistics
C) Non-parametric techniques.
D) All of these choices are correct.

Question

Quizplus · Accepted Answer

Non-parametric techniques are statistical methods that require few assumptions, if any, about the distribution of the population. Parametric techniques usually require assumptions about normality, homogeneity of variances, and other aspects of the population distribution. Inferential statistics refers to methods of making inferences about a population based on information from a sample, and can include both parametric and non-parametric techniques. Therefore, non-parametric techniques are the best choice for statistical methods that require few assumptions about the population distribution.

Which of the Following Are Statistical Methods That Require Few