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Oracle® Database SQL Reference
10g Release 2 (10.2)

Part Number B14200-02
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STDDEV_SAMP

Syntax

Description of stddev_samp.gif follows
Description of the illustration stddev_samp.gif

See Also:

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

Purpose

STDDEV_SAMP computes the cumulative sample standard deviation and returns the square root of the sample variance. You can use it as both an aggregate and analytic 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

This function is same as the square root of the VAR_SAMP function. When VAR_SAMP returns null, this function returns null.

See Also:

Aggregate Example

Please refer to the aggregate example for STDDEV_POP.

Analytic Example

The following example returns the sample standard deviation of salaries in the employees table by department:

SELECT department_id, last_name, hire_date, salary, 
   STDDEV_SAMP(salary) OVER (PARTITION BY department_id 
      ORDER BY hire_date 
      ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS cum_sdev 
   FROM employees;

DEPARTMENT_ID LAST_NAME       HIRE_DATE     SALARY   CUM_SDEV
------------- --------------- --------- ---------- ----------
           10 Whalen          17-SEP-87       4400
           20 Hartstein       17-FEB-96      13000
           20 Goyal           17-AUG-97       6000 4949.74747
           30 Raphaely        07-DEC-94      11000
           30 Khoo            18-MAY-95       3100 5586.14357
           30 Tobias          24-JUL-97       2800  4650.0896
           30 Baida           24-DEC-97       2900 4035.26125
. . .
          100 Chen            28-SEP-97       8200 2003.33056
          100 Sciarra         30-SEP-97       7700 1925.91969
          100 Urman           07-MAR-98       7800 1785.49713
          100 Popp            07-DEC-99       6900 1801.11077
          110 Higgens         07-JUN-94      12000
          110 Gietz           07-JUN-94       8300 2616.29509