Probability Distributions > Relative Frequency Distribution

## What is a Relative frequency distribution?

A relative frequency distribution is a type of frequency distribution. What is a “frequency distribution”? This can be better explained by using a table and a graph. The first image here is a frequency distribution table. A frequency distribution table shows how often something happens. In this particular table, the counts are how many people use certain types of contraception.

With a

**relative frequency distribution,**we don’t want to know the counts. We want to know the

*percentages*. In other words, what percentage of people used a particular form of contraception?

This relative frequency distribution table shows how people’s heights are distributed.

Note that in the right column, the frequencies (counts) have been turned into relative frequencies (percents). How you do this:- Count the total number of items. In this chart the total is 40.
- Divide the count (the frequency) by the total number. For example, 1/40 = .025 or 3/40 = .075.

This information can also be turned into a frequency distribution **chart**. This chart shows the relative frequency distribution table **and** the frequency distribution chart for the information. How to we know it’s a *frequency chart* and not a *relative frequency chart*? Look at the vertical axis: it lists “frequency” and has the counts:

This next chart is a relative frequency histogram. You know it’s a relative frequency distribution for two reasons:

- It’s labeled as relative frequency (which all good charts should be!).
- The vertical axis has percentages (as decimals, .1, .2, 3 …)instead of counts (1, 2, 3…).

## How to Make a Relative Frequency Table

Making a relative frequency table is a two step process.

Step 1: Make a table with the category names and counts.

Step 2: Add a second column called “relative frequency”. I shortened it to rel. freq. here for space.

Step 3: Figure out your first relative frequency by dividing the count by the total. For the category of dogs we have 16 out of 56, so 16/56=0.29.

Step 4: Complete the rest of the table by figuring out the remaining relative frequencies.

Cats = 28 / 56 = .5

Fish = 8 / 56 = .14

Other = 4 / 56 = 0.07

Don’t forget to put the total at the bottom of the rel. freq. column: .29 + .5 + .14 +.07 = 1.

**Note**: The usual way to complete the table is with decimals or percents. However, it’s still technically correct to just leave the ratios (i.e. 28/56) in the column (that way you don’t have to do the math!).

## Cumulative Relative Frequency

To find the cumulative relative frequency, follow the steps above to create a relative frequency distribution table. As a final step, add up the relative frequencies in another column. Here’s the column to the right is labeled “cum. rel. freq.”)

The first entry in the column is the same as the first entry in the rel.freq column (.29).

Next, I added the first and second entries to get 0.29 + 0.50 = 0.79.

Next, I added the first, second and third entries to get 0.29 + 0.50 + 0.14 = 0.93.

Finally, I added the first, second, third and fourth entries to get 0.29 + 0.50 + 0.14 + 0.07 = 1.

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*.

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By far the most simple yet vivid explanation on the internet. Thanks, loved it.!

Thats nice

Hi,

I would like to make a correlation btween different variables. Can you help me?

I could probably point you in the right direction. What are your variables?

This summed up half of a chapter in the simplest, clearest and concise format ever…my prof could take a hint and so can these textbook writers.

thanks for the notes