Relative Frequency Distribution
A relative frequency distribution is a statistical representation that shows the frequency of each unique value or group of values in a dataset as a proportion of the total number of data points. This distribution is particularly useful for understanding the distribution of data across different categories or intervals, especially when comparing datasets of different sizes.
Relative Frequency: Formula, Definition & How to Find Relative Frequency
Relative Frequency in Statistics: Frequency in mathematics is a measure of how often a quantity is present and represents the chances of occurrence of that quantity. In other words, frequency depicts how many times a particular quantity has occurred in an observation.
Relative Frequency is the frequency of an observation concerning the total number of observations. An object’s relative frequency is calculated using the formula Relative frequency = f/n where f is the frequency of an observation and n is the total frequency of the observation of the data set.
We will learn in detail about Relative Frequency, Relative Frequency meaning, Relative Frequency formulas, Relative Frequency examples, and relative frequency distribution.
Table of Content
- Relative Frequency
- Relative Frequency Meaning
- Relative Frequency Formula
- Relative Frequency Distribution
- Structure of Relative Frequency Distribution
- Difference Between Probability and Relative Frequency
- How to Find Relative Frequency?
- Relative Frequency Table
- Cumulative Relative Frequency
- Relative Frequency Examples
- Relative Frequency – Practice Problems