Descriptive Statistics > Make a Frequency Chart

## Make a Frequency Chart: Overview

If you are asked to determine a frequency in statistics, it doesn’t just mean that you should just count out the number of times something happens. It usually involves you having to make a frequency chart to display a list of frequencies.

A

**frequency**is the number of times a data value occurs. For example, if ten students score 80 in statistics, then the score of 80 has a frequency of 10. Frequency is often represented by the letter

**f.**

A

**frequency chart**is made by arranging data values in ascending order of magnitude along with their frequencies.

## Make a Frequency Chart: Steps

Step 1: Make a chart for your data. For this example, you’ve been given a list of twenty blood types for emergency surgery patients:

A, O, A, B, B, AB, B, B, O, A, O, O, O, AB, B, AB, AB, A, O, A.

On the horizontal axis, write “frequency (#)” and “percent (%)”. On the vertical axis, write your list of items. In this example, we have four distinct blood types: A, B, AB, and O.

Step 2: Count the number of times each item appears in your data.

In this example, we have:

A appears 5 times.

B appears 5 times.

O appears 6 times.

AB appears 4 times.

Write those in the “number” column (#). This is your **frequency.**

Step 3:

Use the formula % = (f / n) × 100 to fill in the next column. In this example, n = total amount of items in your data = 20. A appears

5 times (**frequency** in this formula is just the number of times the item appears). So we have:

(5 / 20) × 100 = 25%

Fill in the rest of the frequency column, changing the ‘f’ for each blood type.

That’s it!

Check out our YouTube channel for elementary statistics!

------------------------------------------------------------------------------**Need help with a homework or test question?** With Chegg Study, you can get step-by-step solutions to your questions from an expert in the field. If you rather get 1:1 study help, Chegg Tutors offers 30 minutes of free tutoring to new users, so you can try them out before committing to a subscription.

If you prefer an **online interactive environment** to learn R and statistics, this *free R Tutorial by Datacamp* is a great way to get started. If you're are somewhat comfortable with R and are interested in going deeper into Statistics, try *this Statistics with R track*.

**Comments? Need to post a correction?** Please post a comment on our *Facebook page*.

Check out our updated Privacy policy and Cookie Policy