A bell curve is a symmetric curve centered around the mean, or average, of all the data points being measured. The width of a bell curve is determined by the standard deviation—68% of the data ...

Key Points Normality refers to how your data fits into a normal distribution. You can find out if your data is uniform by ...

Gaussian curves, normal curves and bell curves are synonymous. Each represents how statistical data with normal distribution plots on a graph. Normal distribution describes a particular way ...

A normal curve is a graph with a smooth, symmetrical, bell-shape. The highest point of the bell represents the mean, which is the arithmetic average value of the data set.

The normal curve, on the other hand, is a family of symmetric curves based on the normal distribution function. The specific dimensions of each normal curve depend on the value of the mean, and ...

normal curve. Wikimedia Commons The normal distribution is an extremely important tool in statistics. The shape of a normal distribution is a bell-shaped curve, like the one in the image. That ...

Human performance, by this account, does not often fit the bell curve or what scientists call a normal distribution. Rather, it is more likely to fit what scientists call a power distribution.

In case you need to jog your memory however, a standard normal distribution, which is a normal distribution with the average at 0 and standard deviation as 1, is shown below. The term ‘bell curve’ ...