When a quantitative variable is divided into categories:
A) precision is reduced
B) the basis for dividing is usually hard to defend
C) both A and B
D) neither A nor B

Question

Quizplus · Accepted Answer

When a quantitative variable is divided into categories, precision is indeed reduced because the specific values are grouped into broader categories, losing the exactness of the original data. Additionally, the basis for dividing into categories can often be subjective or arbitrary, making it sometimes hard to defend.

When a Quantitative Variable Is Divided into Categories