With regards to skewed distributions, which best describes them?
A) There are two types of skewed distribution, and if a dataset is heavily skewed enough, parametric tests are not suitable for it.
B) There are two types of skewed distributions, and skewed data can be on interval, ratio, or ordinal scales
C) Skewed data are ranked or qualitative, making it unsuitable for parametric analyses
D) Skewed data do not pose issues for parametric tests, but are not suitable for nonparametric tests.

Question

Quizplus · Accepted Answer

Skewed distributions are characterized by being either positively or negatively skewed, indicating the direction in which the tail of the distribution extends. When a dataset is heavily skewed, it can violate the assumptions of normality required by many parametric tests, making these tests less suitable or reliable for analyzing the data.

With Regards to Skewed Distributions, Which Best Describes Them