How can a researcher determine whether data meet the assumption of normality necessary for using parametric tests?
A) Assess the level of significance
B) Determine the probability of making a type II error
C) Determine the probability of making a type I error
D) Examine a normal probability plot
E) Examine whether the distribution is bimodal or multimodal

Question

Quizplus · Accepted Answer

An effective way to determine whether data meets the assumption of normality is to examine a normal probability plot, which displays the data against a theoretical normal distribution. If the data points fall on the line in a roughly linear and straight pattern, then the assumption of normality is met. If the points deviate significantly from the line or show a pronounced curvature, then the assumption may not be met, and parametric tests may not be appropriate.

How Can a Researcher Determine Whether Data Meet the Assumption