Question

A common rule of thumb for determining how many classes to use when developing a frequency distribution with classes is:

between 5 and 20 classes.
equal to 0.25 times the number of data values.
at least 10 classes.
no fewer than 6 classes.

Answer 1

The typical rule for determining the number of classes in a frequency distribution is having between 5 and 20 classes for clear depiction of data distributions in histograms.

Step-by-step explanation:

The question pertains to the best practices for determining the number of classes to use when creating a frequency distribution for a set of data.

A common rule of thumb is to have between 5 and 20 classes. When constructing histograms, it is vital to choose the number of bars or intervals, also known as classes, that accurately represent the data, typically ranging from 5 to 15 for clarity.

For a given data set of values, the choice of class intervals allows for the depiction of frequency, relative frequency, and cumulative relative frequency, which are important quantitative measures for understanding the distribution of data.