Normality Assessment

Use this powerful feature to help determine whether a sample appears to be from a population having a normal distribution.
First enter the sample values in a column of the Sample Editor window.
Select Data, then select Normality Assessment.
Identify the column containing the data that you wish to investigate, then click on Evaluate.
Results will include a histogram, normal quantile plot, numbers of potential outliers, and results from a Ryan-Joiner hypothesis test of the null hypothesis that the data are from a normal distribution. 
Click on the Modified Boxplot button to display a modified boxplot.
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