Relative Frequency Formula:
Where:
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Relative frequency is a statistical measure that shows the proportion or percentage of times a particular value occurs in a dataset relative to the total number of observations. It is commonly used in histograms, frequency tables, and statistical analysis.
The calculator uses the relative frequency formula:
Where:
Explanation: The formula calculates what fraction of the total observations belong to a particular class or category.
Details: Relative frequency is essential for comparing distributions across different sample sizes, creating probability estimates, and understanding the proportional composition of datasets in statistical analysis.
Tips: Enter the frequency count for the specific class and the total sample size. Ensure frequency is not greater than total sample, and both values are positive numbers.
Q1: What's the difference between frequency and relative frequency?
A: Frequency is the actual count of occurrences, while relative frequency is the proportion of occurrences relative to the total sample size.
Q2: How do I convert relative frequency to percentage?
A: Multiply the relative frequency by 100. For example, RF = 0.25 equals 25%.
Q3: Can relative frequency be greater than 1?
A: No, relative frequency ranges from 0 to 1, where 0 means no occurrences and 1 means all observations belong to that class.
Q4: When should I use relative frequency instead of absolute frequency?
A: Use relative frequency when comparing datasets of different sizes or when you need proportional information for probability calculations.
Q5: How is relative frequency used in histograms?
A: In relative frequency histograms, the vertical axis shows proportions rather than counts, making it easier to compare distributions with different sample sizes.