Normality test overview

The Normality test analysis can be used to determine if the given data set is normally distributed. It performs a statistical analysis of the data and reports the probability value (p-value) that the data is normally distributed. The hypothesis test that is performed is:

Ho: Data is normally distributed

Ha: Data is NOT normally distributed

If the p-value is less than the significance level (alpha), then we can conclude that the data is NOT normally distributed. If the p-value is greater than alpha, we would conclude the data is normally distributed.

In addition to the p-values, we should also look at the histogram and the probability plots to determine if the data closely follows the given distribution.

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