The @VARIANCEP() function calculates the statistical variance of the specified data set (expList). The calculation is based upon the entire population. Variance is a measure of the dispersion of a set of data points around their mean (average) value.
@VARIANCEP (SKIPNONE | SKIPMISSING | SKIPZERO | SKIPBOTH, expList)
Includes all cells specified in expList, regardless of their content, during calculation of the variance.
Excludes all #MISSING values from expList during calculation of the variance.
Excludes all zero (0) values from expList during calculation of the variance.
Excludes all zero (0) values and #MISSING values from expList during calculation of the variance.
Comma-delimited list of member specifications, variable names, functions, or numeric expressions. expList provides a list of numeric values across which the variance is calculated.
@VARIANCEP is different from @VARPER, which calculates the percent variance (difference) between two members.
@VARIANCEP assumes that expList represents the entire population. If you want expList to represent a sample of the population, use @VARIANCE.
@VARIANCEP is calculated using the "biased" or "n" method.
@VARIANCEP uses the following formula:
The following example is based on the Sample Basic database. Assume that the Measures dimension contains an additional member, Sales Var. This example uses the @RANGE function to generate expList and calculates the variance of the sales values for a product family.
FIX (Product) "Sales Var" = @VARIANCEP(SKIPBOTH,@RANGE(Sales,@CHILDREN(Product))); ENDFIX
This example produces the following report:
Jan New York Actual Budget ====== ====== Sales Colas 678 640 Root Beer 551 530 Cream Soda 663 510 Fruit Soda 587 620 Diet Drinks #MI #MI Product 2479 2300 Sales Var Product 2765.69 3125