normality

Having the characteristics of a normal distribution.

If a dataset has normality, (you can also say "if the data is normal"), this means that the data can be described by a normal curve. If the data is plotted on a histogram, then it should resemble a normal curve (also called a Gaussian or bell curve). This is called "normal data".

Normality has implications for the kinds of analysis that can be done on the data. Many techniques (such as correlation and regression) can only be done on "normal data". That is, they can only be performed on data that have the property of normality. If the data is not normal, this can restrict the kinds of analysis that can be performed, and it might result in incorrect results for these techniques.