Statistical aggregates

Statistical aggregates are similar to the avg aggregate in that:

• The syntax is:

  var_pop ([all | distinct] expression)
  

• Only expressions with numerical datatypes are valid.

• Null values do not participate in the calculation.

• The result is NULL only if no data participates in the calculation.

• The distinct or all clauses can precede the expression (the default is all).

• You can use statistical aggregates as vector aggregates (with group by), scalar aggregates (without group by), or in the compute clause.

Unlike the avg aggregate, however, the results are:

• Always of float datatype (that is, a double-precision floating-point), whereas for the avg aggregate, the datatype of the result is the same as that of the expression (with exceptions).

• 0.0 for a single data point.

The essential difference between the two formulas is the division by n-1 instead of n.

These two functions are similar, but are used for different purposes:

• var_samp – is used when you want evaluate a sample—that is, a subset—of a population as being representative of the entire population

• var_pop – is used when you have all of the data available for a population, or when n is so large that the difference between n and n-1 is insignificant