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STDDEV_POP() function in MySQL

  • Last Updated : 23 Dec, 2020

STDDEV_POP() :
This function in MySQL is used to calculate population standard deviation of an expression.

Syntax :

STDDEV_POP(expr);

Parameter :
This method accepts only one parameter.

  • expr –
    Input expression from which we want to calculate population standard deviation.

Returns :
It returns the population standard deviation.

Example-1 :
Finding population standard deviation of RunScored column from the given Player table using STDDEV_POP Function.

Creating a Player table :

CREATE TABLE Player  
(
PlayerId INT AUTO_INCREMENT,  
PlayerName VARCHAR(100) NOT NULL,
RunScored INT NOT NULL,
WicketsTaken INT NOT NULL,
PRIMARY KEY(PlayerId)
);

Inserting data into the Table :

INSERT INTO Player  
(PlayerName, RunScored,  WicketsTaken )
VALUES
('KL Rahul', 52, 0 ),
('Hardik Pandya', 30, 1 ),
('Ravindra Jadeja', 18, 2 ),
('Washington Sundar', 10, 1),
('D Chahar', 11, 2 ),  
('Mitchell Starc', 0, 3);

To verify used the following command as follows.

SELECT  * from Player ;

Output :

PLAYERIDPLAYERNAMERUNSCOREDWICKETSTAKEN
1KL Rahul520
2Hardik Pandya301
3Ravindra Jadeja182
4Washington Sundar101
5D Chahar112
6Mitchell Starc03

Now, we are going to find population standard deviation for RunScored column.

SELECT  STDDEV_POP(RunScored ) 
as Pop_Standard_Deviation 
FROM Player ;

Output :

POP_STANDARD_DEVIATION
16.87618308609964

Example-2 :
Now, we are going to find population standard deviation of WicketsTaken column.

SELECT  STDDEV_POP(WicketsTaken) 
as Pop_Std_Dev_Wickets   
FROM Player ;

Output :

POP_STD_DEV_WICKETS
0.9574271077563381

Example-3 :
In this example, we are going to find the population standard deviation of Income of Employee who are working in the location ‘Kolkata’ To demonstrate create a table named EmloyeeDetails.

CREATE TABLE EmployeeDetails(
Employee_Id INT AUTO_INCREMENT,  
Employee_Name VARCHAR(100) NOT NULL,
Working_At VARCHAR(20) NOT NULL,
Work_Location  VARCHAR(20) NOT NULL,
Joining_Date DATE NOT NULL,
Annual_Income INT  NOT NULL,
PRIMARY KEY(Employee_Id )
);

Inserting data into the Table :

INSERT INTO  
EmployeeDetails(Employee_Name, Working_At, Work_Location, Joining_Date, Annual_Income )
VALUES
('Amit Khan', 'XYZ Digital', 'Kolkata', '2019-10-06', 350000 ),
('Shreetama Pal', 'ABC Corp.', 'Kolkata', '2018-12-16', 500000 ),
('Aniket Sharma', 'PQR Soln.', 'Delhi', '2020-01-11', 300000 ),
('Maitree Jana', 'XYZ Digital', 'Kolkata', '2019-05-01', 400000 ),
('Priyanka Ojha', 'ABC Corp.', 'Delhi', '2019-02-13', 350000 ),
('Sayani Mitra', 'XYZ Digital', 'Kolkata', '2019-09-15', 320000 ),
('Nitin Dey', 'PQR Soln.', 'Delhi', '2019-10-06', 250000 ),
('Sujata Samanta', 'PQR Soln.', 'Kolkata', '2020-10-06', 350000 ),
('Sudip Majhi', 'ABC Corp.', 'Delhi', '2018-10-30', 600000 ),
('Sanjoy Kohli', 'XYZ Digital', 'Delhi', '2019-04-18', 450000 ) ;

To verify used the following command as follows.

Select * FROM EmployeeDetails;

Output :

EMPLOYEE_IDEMPLOYEE_NAMEWORKING_ATWORK_LOCATIONJOINING_DATEANNUAL_INCOME
1Amit KhanXYZ DigitalKolkata2019-10-06350000 
2Shreetama PalABC Corp.Kolkata2018-12-16500000
3Aniket SharmaPQR Soln.Delhi2020-01-11300000 
4Maitree JanaXYZ DigitalKolkata2019-05-01400000 
5Priyanka OjhaABC Corp.Delhi2019-02-13350000
6Sayani MitraXYZ DigitalKolkata2019-09-15320000 
7Nitin DeyPQR Soln.Delhi2019-10-06250000 
8Sujata SamantaPQR Soln.Kolkata2020-10-06350000 
9Sudip MajhiABC Corp.Delhi2018-10-30600000 
10Sanjoy KohliXYZ DigitalDelhi2019-04-18450000 

Now, we are going to find population standard deviation of annual Income for those Employee whose work location is ‘Kolkata’.

SELECT  'Kolkata' AS 'Work_Location',
STDDEV_POP(Annual_Income) as PopStdDevOfAnnualIncome  
FROM EmployeeDetails where Work_Location = 'Kolkata';

Output :

WORK_LOCATIONPOPSTDDEVOFANNUALINCOME
Kolkata 63435.006108614834
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