• 50+ pages of complete step-by-step instructions showing how to perform a number of well-known Normality tests and how to do them all in Excel.
• Explains in detail exactly how and when to use the following types of Normality tests: the Histogram, the Normal Probability Plot using 2 different methods, and the Chi-Square Goodness-Of-Fit Test, and how to set them all up in Excel.
• This e-manual is loaded with completed problems and step-by-step, easy-to-follow screenshots in Excel of all these different types of Normality tests.
• The instructions are clear and easy-to-follow but at the graduate level.

If you are currently taking a difficult graduate-level statistics course that covers Normality testing, you will find this e-manual to be an outstanding course supplement that will explain Normality tests much more clearly than your textbook does.

If you are a business manager, you will really appreciate how easily and clearly this e-manual will show you how you can perform these useful and quick Normality tests in Excel to verify data distributions on your job.

Normality testing should always be performed before any of the widely-used parametric statistical tests are applied to data. Not many know how to do Normality testing.

"The step-by-step instructions and video demonstrations provided an easy-to-understand platform.

The Excel Statistical Master program is a fantastic tool for anyone desiring to “make sense” of the data available to them."