MySQL STDDEV_POP() function
STDDEV_POP() function
MySQL STDDEV_POP() function returns the population standard deviation of an expression ( the square root of VAR_POP()). Statistically, the population standard deviation quantifies how much variation there is in a dataset.
It returns NULL if no matching row is found.
This function is useful in -
- The primary purpose of the STDDEV_POP() function is to accurately calculate the population standard deviation.
- STDDEV_POP() quantifies the spread or dispersion of values around the mean (average) in a dataset.
- The population standard deviation helps you understand the variability or consistency of data points within the entire population.
- Population standard deviation is used to calculate confidence intervals for population parameters.
- You can use population standard deviation to compare the variability of different populations or datasets and assess their similarity or difference.
- In finance and risk analysis, population standard deviation is used to measure the volatility or risk associated with investment returns or financial instruments.
Syntax:
STDDEV_POP(expr);
Where expr is an expression.
MySQL Version: 8.0
Example: MySQL STDDEV_POP() function
The following statement returns the standard deviation of 'total_cost' from purchase table.
Sample table: purchase
+------------+------------+----------------+------------+------------+---------+---------------------------------+----------+---------+-------------+-------------+------------+ | invoice_no | invoice_dt | ord_no | ord_date | receive_dt | book_id | book_name | pub_lang | cate_id | receive_qty | purch_price | total_cost | +------------+------------+----------------+------------+------------+---------+---------------------------------+----------+---------+-------------+-------------+------------+ | INV0001 | 2008-07-15 | ORD/08-09/0001 | 2008-07-06 | 2008-07-19 | BK001 | Introduction to Electrodynamics | English | CA001 | 15 | 75.00 | 1125.00 | | INV0002 | 2008-08-25 | ORD/08-09/0002 | 2008-08-09 | 2008-08-28 | BK004 | Transfer of Heat and Mass | English | CA002 | 8 | 55.00 | 440.00 | | INV0003 | 2008-09-20 | ORD/08-09/0003 | 2008-09-15 | 2008-09-23 | BK005 | Conceptual Physics | NULL | CA001 | 20 | 20.00 | 400.00 | | INV0004 | 2007-08-30 | ORD/07-08/0005 | 2007-08-22 | 2007-08-30 | BK004 | Transfer of Heat and Mass | English | CA002 | 15 | 35.00 | 525.00 | | INV0005 | 2007-07-28 | ORD/07-08/0004 | 2007-06-25 | 2007-07-30 | BK001 | Introduction to Electrodynamics | English | CA001 | 8 | 25.00 | 200.00 | | INV0006 | 2007-09-24 | ORD/07-08/0007 | 2007-09-20 | 2007-09-30 | BK003 | Guide to Networking | Hindi | CA003 | 20 | 45.00 | 900.00 | +------------+------------+----------------+------------+------------+---------+---------------------------------+----------+---------+-------------+-------------+------------+
Code:
-- This query calculates the population standard deviation of the 'total_cost' column in the 'purchase' table.
SELECT STDDEV_POP(total_cost)
-- This statement selects the population standard deviation of the 'total_cost' column.
FROM purchase;
-- This part of the query specifies the table from which data is being retrieved, which is 'purchase'.
Explanation:
- The purpose of this SQL query is to compute the population standard deviation of the 'total_cost' values in the 'purchase' table.
- SELECT STDDEV_POP(total_cost): This part of the query selects the population standard deviation of the 'total_cost' column. Population standard deviation is a statistical measure of the amount of variation or dispersion in a population.
- FROM purchase: This part specifies the table from which the data is being selected, which is the 'purchase' table.
- The query will return a single value, which is the population standard deviation of the 'total_cost' values in the 'purchase' table. This value provides insight into the spread or dispersion of the 'total_cost' values in the entire population represented by the 'purchase' table.
Output:
mysql> SELECT STDDEV_POP(total_cost)
-> FROM purchase;
+------------------------+
| STDDEV_POP(total_cost) |
+------------------------+
| 315.392172 |
+------------------------+
1 row in set (0.00 sec)
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