# What kind of distribution is the normal curve?

**bell**curve.

Furthermore, what does a normal distribution curve show?

**normal distribution curve**. In statistics, the theoretical **curve** that **shows** how often an experiment will produce a particular result. The **curve** is symmetrical and bell shaped, showing that trials will usually give a result near **the average**, but will occasionally deviate by large amounts.

One may also ask, how do you know if a distribution is normal? The black line indicates the values your sample should adhere to **if** the **distribution** was **normal**. The dots are your actual data. **If** the dots fall exactly on the black line, then your data are **normal**. **If** they deviate from the black line, your data are non-**normal**.

Simply so, what is a normal distribution in statistics?

The **normal distribution** is a probability function that describes how the values of a variable are distributed. It is a symmetric **distribution** where most of the observations cluster around the central peak and the probabilities for values further away from the mean taper off equally in both directions.

What are 3 characteristics of a normal curve?

**Characteristics** of **Normal Distribution** **Normal** distributions are symmetric, unimodal, and asymptotic, and the mean, median, and mode are all equal. A **normal distribution** is perfectly symmetrical around its center. That is, the right side of the center is a mirror image of the left side.