MySQL Standard Deviation

The MySQL can calculate the standard deviation of a set of values using the STDDEV() function. The STDDEV() function calculates the population standard deviation. If you want to calculate the sample standard deviation, you can use the STDDEV_SAMP() function.

Here’s the basic syntax for calculating the population standard deviation using the STDDEV() function:

SELECT STDDEV(column_name) AS standard_deviation
FROM table_name;

• column_name: The name of the column for which you want to calculate the standard deviation.
• table_name: The name of the table containing the data.

For example, let’s say you have a table named scores with a column named score, and you want to calculate the population standard deviation of the scores:

SELECT STDDEV(score) AS population_standard_deviation
FROM scores;

If you want to calculate the sample standard deviation, you can use the STDDEV_SAMP() function in a similar way:

SELECT STDDEV_SAMP(column_name) AS sample_standard_deviation
FROM table_name;

Here’s an example of calculating the sample standard deviation for the same scores table:

SELECT STDDEV_SAMP(score) AS sample_standard_deviation
FROM scores;

Keep in mind that the STDDEV() and STDDEV_SAMP() functions are part of MySQL’s statistical functions and are useful for calculating measures of data variability and dispersion. Depending on your specific use case and the nature of your data, you may choose to calculate either the population standard deviation or the sample standard deviation.