# Normal distribution

probability distribution

The normal distribution is a probability distribution. It is also called Gaussian distribution because it was first discovered by Carl Friedrich Gauss.

The normal distribution is very important in many fields because many things take this form.[1] It is often called the bell curve, because the graph of its probability density looks like a bell.

• The mean ("average") of the distribution defines its location.
• The standard deviation ("variability") defines the scale.

These two parameters are represented by the symbols ${\displaystyle \mu }$ and ${\displaystyle \sigma }$, respectively.[2]

The standard normal distribution (also known as the Z distribution) is the normal distribution with a mean of zero and a standard deviation of one (the green curves in the plots to the right).[2]

Many values follow a normal distribution.[3][4] Some examples include:[5]

• Height
• Test scores
• Measurement errors
• Light intensity as in laser light)
• Intelligence is normally distributed.
• Insurance companies use normal distributions to model certain average cases.

## Origin

Its origin goes back to the 18th century to De Moivre and in the early 19th century with Gauss.

## Use

It is the most widely used piece of statistics by far. It was famously used in World War I by the United States Army to decide when men were so poor mentally that they could not be used by the Army in any job.

## References

1. "Normal Distribution | Data Basecamp". 2021-11-26. Retrieved 2022-07-15.
2. "List of Probability and Statistics Symbols". Math Vault. 2020-04-26. Retrieved 2020-08-15.
3. "Normal Distribution - easily explained! | Data Basecamp". 2021-11-26. Retrieved 2023-05-29.
4. Weisstein, Eric W. "Normal Distribution". mathworld.wolfram.com. Retrieved 2020-08-15.
5. "Normal Distribution". www.mathsisfun.com. Retrieved 2020-08-15.