A relative frequency distribution describes the proportion of data values that fall within each category.Group of answer choicesTrueFalse

The statement is True.

Explanation:

A relative frequency distribution is a statistical tool used to summarize the proportions or percentages of data values that fall within specific categories. Unlike a standard frequency distribution, which only counts how many data points fall into each category, a relative frequency distribution expresses these counts as a fraction of the total number of observations.

To create a relative frequency distribution, you would take the number of observations in each category and divide it by the total number of observations. This results in a proportion for each category that adds up to 1 (or 100% if expressed as a percentage). This allows for easier comparison across different datasets of varying sizes and provides insight into how the data is distributed relative to the whole.

In summary, relative frequency distributions are essential for understanding the characteristics and distribution of categorical data in a more comprehensible manner.