Cumulative Relative Frequency
Cumulative Relative Frequency is the accumulation of all the relative frequency in any given data set. This is represented in the example added below,
The table added below shows the height of 20 students in a class along with relative frequency, and cumulative frequency.
Cumulative Relative Frequency |
|||
---|---|---|---|
Height (in Cm) |
Frequency |
Relative Frequency |
Cumulative Relative Frequency |
150-160 |
4 |
4/20 = 0.2 |
0.2 |
160-170 |
5 |
5/20 = 0.25 |
0.45 |
170-180 |
6 |
6/20 = 0.30 |
0.75 |
180-190 |
5 |
5/20 = 0.25 |
1 |
Sum of all the Cumulative Relative Frequency of all the elements is always equal to 1.
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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