Relative Frequency Calculator
Quickly determine the proportion of each category in your dataset. Simply input your comma-separated categorical data to get started.
Enter Your Data
Input your categorical data as comma-separated values. For example: "Red, Blue, Red, Green, Blue".
Calculation Results
| Category | Frequency | Relative Frequency |
|---|---|---|
Understanding Relative Frequency
Relative frequency, also known as empirical probability, shows how often a specific category occurs within a dataset relative to the total number of observations. It's calculated by dividing the frequency of a category by the total frequency of all categories.
Formula: Relative Frequency = (Frequency of Category) / (Total Frequency of All Categories)
Example: In a survey of favorite colors, if "Blue" is chosen 30 times out of 100 total responses, the relative frequency of "Blue" is 30/100 = 0.3 or 30%. This indicates that in this sample, "Blue" accounts for 30% of the preferences.
Relative frequency is useful in statistics to understand data distribution and make predictions based on observed data. It's widely used in fields like market research, social sciences, and quality control.