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.


Parameter Description
SKIPNONE Includes all cells specified in expList,
regardless of their content, during calculation of the variance.
SKIPMISSING Excludes all #MISSING values from expList during
calculation of the variance.
SKIPZERO Excludes all zero (0) values from expList during
calculation of the variance.
SKIPBOTH Excludes all zero (0) values and #MISSING values from expList during calculation of the variance.
expList 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)));

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

See Also