How many classes should generally be used when constructing a relative frequency histogram?
A) between 1 and 5 classes
B) between 1 and 10 classes
C) between 5 and 12 classes
D) between 5 and 20 classes

Question

Quizplus · Accepted Answer

The optimal number of classes that should be used when constructing a relative frequency histogram is generally between 5 and 12 classes. This is because having too few classes may result in important features of the data being overlooked, while having too many classes may result in noise in the data being accentuated, leading to less meaningful insights. Therefore, a range of 5 to 12 classes is considered the best choice for constructing an informative and accurate relative frequency histogram.

How Many Classes Should Generally Be Used When Constructing a Relative