Relative Frequency Formula:
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Relative Frequency (RF) is a statistical measure that represents the proportion or percentage of observations falling into a particular category or class relative to the total number of observations. It is commonly used in frequency distributions and ogives.
The calculator uses the Relative Frequency formula:
Where:
Explanation: The formula calculates the proportion of cumulative observations relative to the total dataset size, providing insights into data distribution patterns.
Details: Relative frequency is essential for creating frequency distributions, constructing ogives (cumulative frequency graphs), comparing datasets of different sizes, and understanding probability distributions in statistics.
Tips: Enter cumulative frequency and total frequency as positive numbers. Cumulative frequency should not exceed total frequency. The result is displayed as a decimal value between 0 and 1.
Q1: What Is The Difference Between Frequency And Relative Frequency?
A: Frequency is the actual count of observations, while relative frequency is the proportion of observations relative to the total (frequency ÷ total).
Q2: How Is Relative Frequency Used In Ogives?
A: In ogives, relative frequency is plotted against class boundaries to create cumulative relative frequency graphs that show data distribution patterns.
Q3: Can Relative Frequency Be Expressed As A Percentage?
A: Yes, multiply the decimal relative frequency by 100 to convert it to a percentage (RF × 100 = %).
Q4: What Is The Range Of Relative Frequency Values?
A: Relative frequency values range from 0 to 1 (or 0% to 100% when converted to percentage).
Q5: How Is Cumulative Frequency Calculated?
A: Cumulative frequency is calculated by adding the frequency of the current class to the sum of frequencies of all previous classes.