Frequency Distribution Formula:
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Frequency distribution is a statistical method that shows how often different values occur in a dataset. Relative frequency distribution expresses these frequencies as proportions or percentages of the total observations, providing a normalized view of the data distribution.
The calculator uses the fundamental formula:
Where:
Explanation: This calculation transforms raw counts into proportional values that can be easily compared across different datasets and sample sizes.
Details: Frequency distributions are fundamental in statistics for understanding data patterns, identifying outliers, and preparing data for further statistical analysis. Relative frequencies allow for comparison between datasets of different sizes.
Tips: Enter frequency values separated by commas. The calculator will compute relative frequencies and display results in a clear table format showing both absolute counts and proportional distributions.
Q1: What Is The Difference Between Frequency And Relative Frequency?
A: Frequency is the actual count of occurrences, while relative frequency is the proportion of total observations (frequency divided by total count).
Q2: Can Relative Frequencies Be Expressed As Percentages?
A: Yes, relative frequencies can be multiplied by 100 to convert to percentages, making them easier to interpret.
Q3: What Is The Sum Of All Relative Frequencies?
A: The sum of all relative frequencies in a complete distribution always equals 1 (or 100% if expressed as percentages).
Q4: When Should I Use Frequency Vs Relative Frequency?
A: Use frequency for actual counts and relative frequency when comparing distributions across different sample sizes or when proportions are more meaningful than raw counts.
Q5: Can This Calculator Handle Decimal Frequencies?
A: Yes, the calculator accepts decimal values for frequencies, which is useful for weighted distributions or probability calculations.