Siddharth Kalla48.2K reads

Discover 17 more articles on this topic

Don't miss these related articles:

A frequency distribution gives us an idea about how frequently a given data point occurs and how probable it is to occur.

Frequency distribution is related to probability distribution. While a frequency distribution gives the exact frequency or the number of times a data point occurs, a probability distribution gives the probability of occurrence of the given data point. When the number of test cases are large, the frequency distribution and the probability distributions are similar in shape.

For example, consider a fair coin that is tossed four times. We want to derive the frequency distribution for the number of heads that can occur. There are different possibilities, through which these heads might occur, which are summarized in the table below:

No. of Heads | Value of the four coin flips | Total number of ways of getting a head |
---|---|---|

0 | T - T - T - T | 1 |

1 | H - T - T - T T - H - T - T T - T - H - T T - T - T - H | 4 |

2 | H - H - T - T H - T - H - T H - T - T - H T - H - H - T T - H - T - H T - T - H - H | 6 |

3 | T - H - H - H H - T - H - H H - H - T - H H - H - H - T | 4 |

4 | H - H - H - H | 1 |

The frequency distribution is easy to see. On an average, if the number of flips are very high, then out of every 16 coin flips, 1 will end up with 0 heads, 4 will end up with 4 heads, 6 will end up with 2 heads, 4 will end up with 3 heads and 1 will end up as all 4 heads. This of course is assuming that the coin used for the experiment is a fair coin, with an equal probability of a head and tail on any given flip.

In the above case, the coin is flipped only 4 times. If the coin is tossed many more times, like say 100 times, and the frequency distribution drawn, it will be exactly like a normal probability distribution in shape.

Full reference:

Siddharth Kalla (Feb 20, 2010). Frequency Distribution. Retrieved Jan 31, 2023 from Explorable.com: https://explorable.com/frequency-distribution

The text in this article is licensed under the Creative Commons-License Attribution 4.0 International (CC BY 4.0).

This means you're free to copy, share and adapt any parts (or all) of the text in the article, as long as you give ** appropriate credit** and

That is it. You don't need our permission to copy the article; just include a link/reference back to this page. You can use it freely (with some kind of link), and we're also okay with people reprinting in publications like books, blogs, newsletters, course-material, papers, wikipedia and presentations (with clear attribution).

Discover 17 more articles on this topic

Don't miss these related articles:

Thank you to...

This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 827736.

Subscribe / Share

- Subscribe to our RSS Feed
- Like us on Facebook
- Follow us on Twitter
- Founder:
- Oskar Blakstad Blog
- Oskar Blakstad on Twitter

Explorable.com - 2008-2023

You are free to copy, share and adapt any text in the article, as long as you give *appropriate credit* and *provide a link/reference* to this page.