Relative frequency is a statistical measure that describes the number of times a particular event occurs in a dataset, relative to the total number of events. It is often expressed as a fraction or a percentage.

To calculate the relative frequency of an event, you can use the following formula:

Relative Frequency = (Number of times the event occurs) / (Total number of events)

Let's say you have a dataset of 50 students and you want to calculate the relative frequency of students who like math. If 20 students like math, you would calculate the relative frequency as follows:

Relative Frequency = 20 / 50 = 0.4

Once you have calculated the relative frequency, you can interpret it as a percentage by multiplying the result by 100. In the example above, the relative frequency of students who like math is 0.4, which is equivalent to 40%.

Here are some key points to remember about relative frequency:

- It is a measure of how often a particular event occurs relative to the total number of events.
- It is calculated by dividing the number of times the event occurs by the total number of events.
- It can be expressed as a fraction or a percentage.
- To interpret relative frequency as a percentage, multiply the result by 100.
- Relative frequency is useful for comparing the occurrence of different events within a dataset.

By understanding and applying the concept of relative frequency, you can gain insights into the distribution and occurrence of events within a dataset.

.Study GuideOrganizing Data Worksheet/Answer key

Organizing Data Worksheet/Answer key

Organizing Data Worksheet/Answer key

Organizing Data

Data Analysis and Probability (NCTM)

Select and use appropriate statistical methods to analyze data.

Find, use, and interpret measures of center and spread, including mean and interquartile range.