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)
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