Section 1
The Normal Curve
By Boundless
![Thumbnail](../../../../../../figures.boundless-cdn.com/18093/raw/boxplot-vs-pdf.jpg)
A continuous probability distribution is a representation of a variable that can take a continuous range of values.
![Thumbnail](../../../../../../figures.boundless-cdn.com/18395/square/601px-arriva-t6-nearside.jpeg)
The continuous uniform distribution is a family of symmetric probability distributions in which all intervals of the same length are equally probable.
The exponential distribution is a family of continuous probability distributions that describe the time between events in a Poisson process.
The normal distribution is symmetric with scores more concentrated in the middle than in the tails.
![Thumbnail](../../../../../../figures.boundless-cdn.com/18101/square/normal3.gif)
The graph of a normal distribution is a bell curve.
![Thumbnail](../../../../../../figures.boundless-cdn.com/18107/square/-05-17-20at-201.55.27-20pm.jpeg)
The standard normal distribution is a normal distribution with a mean of 0 and a standard deviation of 1.
![Thumbnail](../../../../../../figures.boundless-cdn.com/18108/square/normal01.jpeg)
To calculate the probability that a variable is within a range in the normal distribution, we have to find the area under the normal curve.