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# Frequency Table

Daily, we come across many data presented as numerical values, tables, graphs, etc. This data may include statistics on the number of goals scored in football games, local temperatures, the most popular goods among pupils in a class, and so forth. Data are the gathered pieces of knowledge. The frequency of an occurrence or a value is the number of times it happens. A frequency table is a list of objects with the frequency of each item shown in the table.

List of Contents

• How Does Frequency Work?
• Frequency Table Examples
• FAQs

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## How Does Frequency Work?

The number of times that a certain data value occurs is known as its frequency. We use f to symbolize the frequency of a data value.

For instance, the grade A is considered to have a frequency of five if five students received an A in science. There have been times when we booked them last minute, but the teachers have been extremely well-prepared and the help desk at etutorworld is very prompt.

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## Frequency Table Examples

Let us say we have a dataset of students and the number of books they have read in a month. The dataset looks like this:

 Student Books Read Alice 8 Bob 5 Carol 12 David 3 Emily 8 Frank 10 Grace 6

Now, we can create a frequency table to summarize the distribution of the number of books read by the students:

 Books Read Frequency 3 1 5 1 6 1 8 2 10 1 12 1

In this frequency table, the “Books Read” column represents the different values in the
dataset, and the “Frequency” column represents how many times each value appears in the dataset. For example, there is one student who read 3 books, one student who read 5 books, and so on.

This frequency table gives us a quick overview of the distribution of the number of books read by the students, allowing us to see which values are more common and which are less common.

## Frequency Table FAQS

#### How do you create a frequency table?

To create a frequency table, follow these steps:

• a) List all the distinct values or categories present in your dataset.
• b) Count the number of occurrences of each value or category in the dataset.
• c) Create a table with two columns: one for the values/categories and another for their corresponding frequencies.

#### What types of data are suitable for frequency tables?

Frequency tables are suitable for categorical and discrete data, where values can be counted and grouped into categories. Examples include survey responses, test scores grouped into ranges, demographic data, and more.

#### Can a frequency table be used for continuous data?

While frequency tables are more commonly used for categorical and discrete data, they can also be used for continuous data by grouping the data into intervals or bins. These bins represent ranges of continuous values, and the frequency table then shows how many data points fall into each interval.

#### What are the benefits of using a frequency table?

Using a frequency table:

• Helps in summarizing large datasets.
• Provides a quick overview of data distribution.
• Identifies common and rare values.
• Allows for easy comparison of frequencies.
• Provides a foundation for further statistical analysis. Gloria Mathew writes on math topics for K-12. A trained writer and communicator, she makes math accessible and understandable to students at all levels. Her ability to explain complex math concepts with easy to understand examples helps students master math. LinkedIn

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