The collection of statistical methods that require assumptions about the population is known as
A)distribution free methods
B)nonparametric methods
C)small populations
D)parametric methods

Question

Quizplus · Accepted Answer

Parametric methods require assumptions about the population, such as normality of the distribution or equal variances, in order to make inferences. Nonparametric methods, on the other hand, do not rely on these assumptions and are useful in situations where the population distribution is unknown or cannot be assumed to be normal. Choice A is incorrect as distribution free methods and nonparametric methods are not the same thing. Choice B is incorrect as nonparametric methods are explicitly defined as methods that do not require population assumptions. Choice C is irrelevant to the question.

The Collection of Statistical Methods That Require Assumptions About the Population