Relative Frequency Formula:
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Relative frequency distribution shows the proportion or percentage of observations that fall into each class or category. It provides a standardized way to compare distributions across different sample sizes by converting absolute frequencies to proportions.
The calculator uses the relative frequency formula:
Where:
Explanation: The formula calculates the proportion of total observations that belong to each class, allowing for comparison between different datasets regardless of their total size.
Details: Relative frequency distributions are essential in statistics for understanding data patterns, comparing different datasets, creating probability distributions, and visualizing data through relative frequency histograms and pie charts.
Tips: Enter frequency values separated by commas. Ensure all frequencies are positive integers. The calculator will automatically compute relative frequencies and percentages, and display them in a comprehensive table format.
Q1: What is the difference between frequency and relative frequency?
A: Frequency shows the actual count of observations in each class, while relative frequency shows the proportion of total observations in each class.
Q2: Why use relative frequency instead of absolute frequency?
A: Relative frequency allows comparison between datasets of different sizes and helps in understanding the distribution pattern independent of sample size.
Q3: What should the sum of all relative frequencies equal?
A: The sum of all relative frequencies should always equal 1 (or 100% when expressed as percentages).
Q4: Can relative frequency be greater than 1?
A: No, relative frequency is always between 0 and 1 inclusive, as it represents a proportion of the total.
Q5: How is relative frequency related to probability?
A: In empirical probability, relative frequency can be used as an estimate of probability for each class or category.