See Also:
"Analytic Functions" for information on syntax, semantics, and restrictionsSTDDEV_POP
computes the population standard deviation and returns the square root of the population variance. You can use it as both an aggregate and analytic function.
This function takes as an argument any numeric data type or any nonnumeric data type that can be implicitly converted to a numeric data type. The function returns the same data type as the numeric data type of the argument.
See Also:
Table 3-10, "Implicit Type Conversion Matrix" for more information on implicit conversionThis function is the same as the square root of the VAR_POP
function. When VAR_POP
returns null, this function returns null.
See Also:
"About SQL Expressions" for information on valid forms of expr
The following example returns the population and sample standard deviations of the amount of sales in the sample table sh.sales
:
SELECT STDDEV_POP(amount_sold) "Pop", STDDEV_SAMP(amount_sold) "Samp" FROM sales; Pop Samp ---------- ---------- 896.355151 896.355592
The following example returns the population standard deviations of salaries in the sample hr.employees
table by department:
SELECT department_id, last_name, salary, STDDEV_POP(salary) OVER (PARTITION BY department_id) AS pop_std FROM employees ORDER BY department_id, last_name, salary, pop_std; DEPARTMENT_ID LAST_NAME SALARY POP_STD ------------- ------------------------- ---------- ---------- 10 Whalen 4400 0 20 Fay 6000 3500 20 Hartstein 13000 3500 30 Baida 2900 3069.6091 . . . 100 Urman 7800 1644.18166 110 Gietz 8300 1850 110 Higgins 12000 1850 Grant 7000 0