A frequency distribution is a way to represent and summarize data. It is a tabular representation of data showing the number of occurrences of each unique data value within a dataset. A frequency distribution can be used to quickly summarize and understand the characteristics of a dataset.

The formula for a frequency distribution is:

f = number of occurrences of a particular data value
n = total number of data values in the dataset

To calculate the frequency distribution, you first need to determine the number of occurrences of each unique data value in the dataset. This can be done by creating a frequency table, which lists each unique data value and the number of times it appears in the dataset.

Once you have determined the number of occurrences of each data value, you can then calculate the frequency distribution for each value. To do this, you simply divide the number of occurrences of a particular data value by the total number of data values in the dataset.

For example, let's say we have a dataset with the following values: 2, 4, 4, 5, 5, 5, 7, 8, 8, 8, 9. The frequency distribution for this dataset would be:

Value Frequency Frequency Distribution
2 1 1/11 = 0.09
4 2 2/11 = 0.18
5 3 3/11 = 0.27
7 1 1/11 = 0.09
8 3 3/11 = 0.27
9 1 1/11 = 0.09

The frequency distribution allows us to see at a glance how the data is distributed within the dataset. In this example, we can see that the values 4 and 8 appear more frequently than the other values, while the value 2 appears the least frequently.

Frequency distributions can be useful in a variety of situations, such as identifying patterns or trends in data, comparing different datasets, or understanding the characteristics of a population. It is an important tool for understanding and summarizing data.

## FREQUENCY function

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## Frequency Distribution

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