Perform a Data Normality Test in Excel using the QI Macros

Statistical analysis may rely on your data being "normal" (i.e., bell-shaped), so how can you tell if it really is normal? The two tests most commonly used are: 1. Normal Probability Plot 2. p-value or Critical Value method The Descriptive Statistics or Normality Test in the QIMacros Anova Tools uses the Anderson-Darling method to analyze normality more rigorously. The output includes the Anderson-Darling statistic, A-squared, and both a p-value and critical values for A-squared. For more information, see: http://www.qimacros.com/hypothesis-testing/data-normality-test/ Download the 30-day trial at: http://www.qimacros.com/trial/30-day The QI Macros Control Chart Software for Excel creates control charts, histograms, paretos, box whisker plots and more. You can also perform Anova, t test, f test, regression, etc. This video shows you how to perform a data normality test in Excel using the QI Macros.