When we talk about the assumption of normality, what do we mean?
A)The sampling distribution of the parameter estimate must be normally distributed.
B)Observed scores must be normally distributed.
C)The Kolmogorov-Smirnov test must be significant.
D)Residuals should not have a funnel shape.

Question

Quizplus · Accepted Answer

The assumption of normality typically refers to the distribution of the sampling distribution of the parameter estimate (e.g., mean) being normally distributed, especially as the sample size increases, according to the Central Limit Theorem. This is crucial for the validity of many statistical tests.

When We Talk About the Assumption of Normality, What Do