Relative Frequency

Relative frequency is a statistical measure that describes the number of times a particular value or category occurs as a proportion of the total number of observations. It is often used to compare the occurrences of different values or categories within a dataset.

Calculation of Relative Frequency

The relative frequency of a particular value or category is calculated using the following formula:

Relative Frequency = (Number of occurrences of a value or category) / (Total number of observations)

Example

Suppose we have a dataset of 50 students and we want to calculate the relative frequency of students who scored above 80 in a test. If 20 students scored above 80, the relative frequency would be:

Relative Frequency = 20 / 50 = 0.4 or 40%

Study Guide

To understand and work with relative frequency, it is important to follow these steps:

1. Understand the concept of relative frequency and its importance in statistical analysis.
2. Learn how to calculate relative frequency using the formula: Relative Frequency = (Number of occurrences of a value or category) / (Total number of observations)
3. Practice calculating relative frequencies for different datasets and scenarios.
4. Understand how relative frequency can be used to compare different values or categories within a dataset.
5. Explore real-world applications of relative frequency in fields such as marketing, finance, and healthcare.

By mastering the concept of relative frequency and its applications, you will be better equipped to analyze and interpret data in various contexts.