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What does it do?  | A normality test is a statistical process used to determine if a sample, or any group of data, fits a standard normal distribution. A normality test can be done mathematically or graphically |
Why Use? 
| Many statistical tests (tests of means and tests of variances) assume that the data being tested is normally distributed. A normality test is used to determine if that assumption is valid |
When Use? 
| There are two occasions when you should use a normality test:
1. When you are first trying to characterize raw data, normality testing is used in conjunction with graphical tools such as histograms and box plots.
2. When you are analyzing your data, and you need to calculate basic statistics such as Z values or employ statistical tests that assume normality, such as t-test and ANOVA |
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