StDevP

Description

Calculates the standard deviation for the specified column. Standard deviation is a measurement of how widely values vary from average.

Syntax

StDevP ( column { FOR range { DISTINCT { expres1 {, expres2  {, ... } } } } } )

Argument

Description

column

The column for which you want the standard deviation of the values in the rows. Column can be the column name or the column number preceded by a pound sign (#). Column can also be an expression that includes a reference to the column. The datatype of column must be numeric.

FOR range (optional)

The data to be included in the standard deviation. For most presentation styles, values for range are:

  • ALL – (Default) The standard deviation for all values in column.

  • GROUP n – The standard deviation for values in column in the specified group. Specify the keyword GROUP followed by the group number: for example, GROUP 1.

  • PAGE – The standard deviation for the values in column on a page.

For Crosstabs, specify CROSSTAB for range to indicate the standard deviation for all values in column in the crosstab.

For Graph objects specify GRAPH to indicate the standard deviation for values in column in the range specified for the Rows option.

DISTINCT (optional)

Causes StDevP to consider only the distinct values in column when determining the standard deviation. For a value of column, the first row found with the value is used and other rows that have the same value are ignored.

expresn (optional)

One or more expressions that you want to evaluate to determine distinct rows. Expresn can be the name of a column, a function, or an expression.

Returns

Double. Returns the standard deviation for column.

Usage

If you specify range, StDevP returns the standard deviation for column within range. If you specify DISTINCT, StDevP returns an estimate of the standard deviation for the distinct values in column, or if you specify expresn, the estimate of the standard deviation of the rows in column where the value of expresn is distinct.

For graphs, you do not select the range when you call the function. The range has already been determined by the Rows setting on the Data tab page (the Range property), and the aggregation function uses that range. Settings for Rows include the following:

NoteEstimating or calculating actual standard deviation StDevP assumes that the values in column are the values in all the rows in the column in the database table. If you did not select all rows in the column in the SELECT statement, use StDev to compute an estimate of the standard deviation of a sample.

Not in validation rules or filter expressions You cannot use this or other aggregate functions in validation rules or filter expressions.

Using an aggregate function cancels the effect of setting Retrieve Rows As Needed in the painter. To do the aggregation, a DataWindow object always retrieves all rows.

Examples

Example 1

These examples all assume that the SELECT statement retrieved all rows in the database table. StDevP is intended to work with a full set of data, not a subset.

This expression returns the standard deviation of the values in the column named salary:

StDevP(salary)

Example 2

This expression returns the standard deviation of the values in group 1 in the column named salary:

StDevP(salary for group 1)

Example 3

This expression returns the standard deviation of the values in column 4 on the page:

StDevP(#4 for page)

Example 4

This expression entered in the Value box on the Data tab page in the graph’s property sheet returns the standard deviation of the values in the qty_ordered column in the graph:

StDevP(qty_ordered for graph)

Example 5

This expression for a computed field in a crosstab returns the standard deviation of the values in the qty_ordered column in the crosstab:

StDevP(qty_ordered for crosstab)

Example 6

Assuming a DataWindow object displays the order number, amount, and line items for each order, this computed field returns the standard deviation of the order amount for the distinct order numbers:

StDevP(order_amt for all DISTINCT order_nbr)

See also