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

Question

Quizplus · Accepted Answer

The assumption of independence is crucial for inferential statistics, as it allows us to make assumptions about the population based on a sample. If scores are not independent of each other, then the sample may not be representative of the population, and our inferences may be flawed. Normality, homogeneity of variance, and linearity are also important assumptions in some cases, but they are not required to complete inferential statistics in general.

______ Assumption Required to Complete Inferential Statistics States That Scores