Normality Variables

~cc~

Returns the Correlation Coefficient, which measures the strength of the relationship between two variables. The variable ~cc~ is the same as ~rp~. The variables ~cc~ and ~cctarget~ are used in the CM4D Normality tests to examine

the relationship of a set of Sample data to the normally distributed model of the data. The ~cc~ value is compared to the ~cctarget~ value as one of the Normality checks CM4D performs. See here for more information on Normality in CM4D.

~cctarget~

Returns the target value used to calculate the Correlation Coefficient. A ~cc~ value below the target is considered an indication that the data is NOT normally distributed. The ~cctarget~ is based on Sample size shown below:

Sample Size	cc Target
<= 20	.9600
<= 25	.9662
<= 30	.9707
<= 40	.9767
<= 50	.9807
<= 60	.9835
> 60	.9865

~dagostino~

Returns n/a, normal, or abnormal. This returns the result of the D'Agostino Pearson Omnibus test for Normality.

~distribution~

Returns n/a, normal, or abnormal. This is based on the Normal Distribution Correlation Coefficient (~cc~). If the value of ~cc~ is less than the target (~cctarget~), then ~distribution~ will return abnormal. If the value of ~cc~ is greater than or equal to ~cctarget~, then ~distribution~ will return normal. If ~cc~ does not resolve, then ~distribution~ will return n/a.

~kurtosis~

Returns the measure of flatness of a distribution.

~normality~

Returns n/a, normal, or abnormal. If either ~distribution~ or ~dagostino~ returns normal, then ~normality~ will return normal. If neither ~distribution~ or ~dagostino~ returns normal, then ~normality~ will return either n/a or abnormal.

~rp~

Returns Relational Probability. This is the same as Correlation Coefficient.