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Relative Frequency Calculator

Calculate Relative Frequencies with Step-by-Step Derivation

Enter data values (comma separated)

Relative Frequency Formula

Relative Frequency = f / n
Percentage = (f / n) × 100%

Where f is frequency of the value and n is total number of observations.

Relative frequencies always sum to 1.0 (or 100% for percentages), representing the entire dataset.

What is Relative Frequency?

Relative frequency is the proportion or percentage of times a particular value appears in a dataset. It's calculated by dividing the frequency of a value by the total number of observations.

Proportion

Relative frequency as decimal between 0 and 1

Percentage

Relative frequency multiplied by 100%

Comparison

Allows comparison across different dataset sizes

Distribution

Shows how data is distributed across categories

💡 Example: Data [A,B,A,C,B,A,D,C,B,A], n=10. A appears 4 times, relative frequency = 4/10 = 0.4 (40%).

Applications

Statistics Data Analysis Market Research Quality Control Education

Frequently Asked Questions

What is relative frequency?
Relative frequency is count of an event divided by total observations. Can be expressed as proportion (0-1) or percentage (0%-100%).
How to calculate relative frequency?
Relative frequency = f / n where f = frequency of category and n = total number of observations.
Difference between frequency and relative frequency?
Frequency is count. Relative frequency is proportion/percentage, easier to compare across datasets of different sizes.
What is total relative frequency?
Sum of all relative frequencies = 1.0 (or 100% for percentages).

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