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MySQL VAR_POP() function

VAR_POP() function

MySQL VAR_POP() function returns the population standard variance of an expression. Population variance is a statistical measure that quantifies the average squared deviation of values from the mean in a dataset.

This function is useful in -

  • VAR_POP() quantifies the spread or dispersion of values around the mean (average) in a dataset.
  • The population variance helps you understand the variability or dispersion of data points within the entire population.
  • When analyzing data, VAR_POP() helps assess the distribution of values and provides an indication of the typical deviation from the mean.
  • Population variance is used in inferential statistics to make inferences or predictions about the entire population based on the characteristics of the sample.
  • Population variance can use to compare the variability of different populations or datasets and assess their similarity or difference.
  • Population variance is used to assess the significance of differences between groups or populations.
  • Population variance is used to calculate confidence intervals for population parameters.

Syntax

VAR_POP(expr);

Where expr is an expression.

MySQL Version: 8.0

Example: VAR_POP() function

The following statement returns the population standard variance 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 variance of the 'total_cost' column in the 'purchase' table.
SELECT VAR_POP(total_cost)
-- This statement selects the population variance 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 variance of the 'total_cost' values in the 'purchase' table.

  • SELECT VAR_POP(total_cost): This part of the query selects the population variance of the 'total_cost' column. Population variance measures how much the values in the dataset differ from the mean (average) of the 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 variance of the 'total_cost' values in the 'purchase' table. This value provides insight into the degree of spread or dispersion of the 'total_cost' values around the mean for the entire population represented by the 'purchase' table.

Output:

mysql> SELECT VAR_POP(total_cost) 
    -> FROM purchase;
+---------------------+
| VAR_POP(total_cost) |
+---------------------+
|        99472.222222 | 
+---------------------+
1 row in set (0.00 sec)

PREV : SUM() with group by
NEXT : VAR_SAMP()



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