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Oracle® Database SQL Language Reference
11g Release 1 (11.1)

B28286-07
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STDDEV

Syntax

Description of stddev.gif follows
Description of the illustration stddev.gif

See Also:

"Analytic Functions" for information on syntax, semantics, and restrictions

Purpose

STDDEV returns the sample standard deviation of expr, a set of numbers. You can use it as both an aggregate and analytic function. It differs from STDDEV_SAMP in that STDDEV returns zero when it has only 1 row of input data, whereas STDDEV_SAMP returns null.

Oracle Database calculates the standard deviation as the square root of the variance defined for the VARIANCE aggregate function.

This function takes as an argument any numeric datatype or any nonnumeric datatype that can be implicitly converted to a numeric datatype. The function returns the same datatype as the numeric datatype of the argument.

See Also:

Table 2-10, "Implicit Type Conversion Matrix" for more information on implicit conversion

If you specify DISTINCT, then you can specify only the query_partition_clause of the analytic_clause. The order_by_clause and windowing_clause are not allowed.

See Also:

Aggregate Examples

The following example returns the standard deviation of the salaries in the sample hr.employees table:

SELECT STDDEV(salary) "Deviation"
   FROM employees;
 
 Deviation
----------
3909.36575

Analytic Examples

The query in the following example returns the cumulative standard deviation of the salaries in Department 80 in the sample table hr.employees, ordered by hire_date:

SELECT last_name, salary, 
   STDDEV(salary) OVER (ORDER BY hire_date) "StdDev"
   FROM employees  
   WHERE department_id = 30
   ORDER BY last_name, salary, "StdDev"; 
 
LAST_NAME                     SALARY     StdDev
------------------------- ---------- ----------
Baida                           2900 4035.26125
Colmenares                      2500 3362.58829
Himuro                          2600  3649.2465
Khoo                            3100 5586.14357
Raphaely                       11000          0
Tobias                          2800  4650.0896