Relative Frequency Table Calculator
Generate a relative frequency table from a list of data.
Use this relative frequency calculator, relative frequency, frequency calculator, data frequency, proportion calculator calculator for quick, clear estimates. Try a tiny example to see the impact of each input.
Q: What is relative frequency?
Relative frequency is the ratio of the number of times an event occurs in a dataset compared to the total number of observations in that dataset. It expresses the proportion or fraction of times an outcome appears and is often presented as a decimal, fraction, or percentage.
How do you calculate relative frequency?
To calculate relative frequency, you divide the frequency of a specific data value or category by the total number of data values in the dataset. The formula is: Relative Frequency = (Frequency of a specific outcome) / (Total number of outcomes).
What is the difference between frequency and relative frequency?
Frequency refers to the absolute number of times a particular value or event occurs in a dataset. For example, if “red” appears 5 times, its frequency is 5. Relative frequency, however, is the proportion or percentage of times a particular value or event occurs compared to the total number of observations. If “red” appears 5 times out of 20 total observations, its relative frequency is 5/20 or 0.25.
When is relative frequency used?
Relative frequency is used to understand the proportion or distribution of different categories or values within a dataset. It’s particularly useful for comparing the occurrence of events in datasets of different sizes, presenting data in a more interpretable way (e.g., as percentages), and in probability calculations where it can serve as an estimate of the probability of an event.