Understanding and Calculating Relative Frequency in Statistics

What is Relative Frequency?

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Relative frequency is a statistical measure that represents the proportion of times an event occurs relative to the total number of occurrences in a dataset. It is calculated by dividing the frequency of a particular event by the total number of events observed. In formulaic terms, relative frequency equals frequency divided by the sample size.

For example, if we observe 100 people and 20 of them have brown eyes, the frequency of brown eyes would be 20 and the relative frequency of brown eyes would be 20/100, or 0.20. This means that brown eyes represent 20% of the total sample. Relative frequency is useful in identifying patterns and trends in a dataset and is often used in probability theory and statistical analysis.

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