search
Search
Login
Unlock 100+ guides
menu
menu
web
search toc
close
Comments
Log in or sign up
Cancel
Post
account_circle
Profile
exit_to_app
Sign out
search
keyboard_voice
close
Searching Tips
Search for a recipe:
"Creating a table in MySQL"
Search for an API documentation: "@append"
Search for code: "!dataframe"
Apply a tag filter: "#python"
Useful Shortcuts
/ to open search panel
Esc to close search panel
to navigate between search results
d to clear all current filters
Enter to expand content preview
icon_star
Doc Search
icon_star
Code Search Beta
SORRY NOTHING FOUND!
mic
Start speaking...
Voice search is only supported in Safari and Chrome.
Navigate to

MySQL | STD method

schedule Aug 12, 2023
Last updated
local_offer
MySQL
Tags
tocTable of Contents
expand_more
mode_heat
Master the mathematics behind data science with 100+ top-tier guides
Start your free 7-days trial now!

MySQL's STD(~) aggregate method returns the population standard deviation from the provided numeric input.

Parameters

1. expr | numeric

The numeric expression to return the population standard deviation for.

Return value

The population standard deviation for the numeric input.

Examples

Consider the following table about some students:

student_id

fname

lname

day_enrolled

age

username

1

Sky

Towner

2015-12-03

17

stowner1

2

Ben

Davis

2016-04-20

19

bdavis2

3

Travis

Apple

2018-08-14

18

tapple3

4

Arthur

David

2016-04-01

16

adavid4

5

Benjamin

Town

2014-01-01

17

btown5

The above sample table can be created using the code here.

Basic usage

To return the population standard deviation age of students:

SELECT STD(age) AS "Standard Deviation Age"
FROM students;
+------------------------+
| Standard Deviation Age |
+------------------------+
| 1.0198039027185568 |
+------------------------+
robocat
Published by Arthur Yanagisawa
Edited by 0 others
Did you find this page useful?
thumb_up
thumb_down
Comment
Citation
Ask a question or leave a feedback...
thumb_up
0
thumb_down
0
chat_bubble_outline
0
settings
Enjoy our search
Hit / to insta-search docs and recipes!