______ assumption required to complete inferential statistics states that scores are normally distributed.
A) Normality
B) Independence
C) Homogeneity of variance
D) Linearity

Question

Quizplus · Accepted Answer

The normality assumption is required to complete inferential statistics, as it allows for the use of parametric tests such as t-tests and ANOVA. Non-normality can lead to invalid results and the need for non-parametric tests. The other assumptions listed (independence, homogeneity of variance, and linearity) are also important for inferential statistics, but are not necessary to complete them.

______ Assumption Required to Complete Inferential Statistics States That Scores