In statistics, the relative frequency is the ratio of how many times a specific event happens divided by the total number of events in the entire dataset. The advantage of using the relative frequency, as opposed to just frequency, is that its easier to understand how each event compares with the rest of the data.

Take the following dataset for example:

The first step is to find the sum of all the different Types of Movies. Adding the numbers together gives us an answer of 24.

Now that we have the sum, we can take the frequency of each movie and divide it by the total number of movies. The chart below shows that work:

We can reduce those fractions, convert them into decimals or percents to better represent the data. The following table shows that data:

An important aspect to remember when dealing with relative frequency is that the sum of all of them is 1. Rounding errors could result in sums being different than 1, but your amount will always be close to 1.

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