Standard Deviation

Standard deviation is a measure of dispersion found in statistics. You can calculate it using the mean and the square root of the variance.

What is a standard deviation?

In statistics, standard deviation measures the data set dispersion relative to its mean. It is measured as a square root (sq. root) of the variance. The process standard deviation was given by Karl Pearson in 1893.

Standard deviation is calculated by the sq. root of the variance by summing each data’s point of deviation relative to the data set’s mean.

A standard deviation is a statistical tool primarily used in finance. It is used to calculate the annual rate of return of an investment. It shows the investment’s market index.

To learn this concept of standard deviation, you need to know about the standard deviation formula or the standard deviation calculator.

Standard deviation Formula

It would be best to use a standard deviation calculator to find the solution of any problem. There are two types of series, discrete and continuous. There are four methods for calculating standard deviation under discrete and continuous series:

  • Actual Mean Method
  • Assumed Mean Method
  • Step-deviation method

Actual Mean Method

Here is the formula for the actual mean method for the discrete series:

σ = √∑d2/n

Example of the actual mean method:

Calculate the standard deviation of the following data:

5, 15, 25

X = 5+15+253 = 453 = 15

Xd (x-x)d2
5-10100
1500
2510100
 0200

σ = √∑d2/n

= 2003

= 66.666

= 8.165

Assumed Mean Method

Here is the standard deviation formula for assumed mean method for the discrete series:

σ =√∑d2/n- (√∑d/n)2x c

d = X- AX

You need to take an assumed mean from the X column. In this method, you need to calculate using the

Example of the assumed mean method:

Calculate the standard deviation of the following data:

5, 15, 25

Xd (x-A X)d2
500
1510100
2520400
 30500

Assumed mean = 5

σ = √∑d2/n- (√∑d/n)2x c

σ = 5003 – 3032

σ = 166.667 – 102

σ = 166.667 – 100

= 66.667

= 8.165

Step Deviation Method

Here is the standard deviation formula for step deviation method for the discrete series:

σ =√∑d12/n- (√∑d1/n)2x c

d = x- assumed mean

Example of the step deviation method:

Calculate the standard deviation of the following data:

5, 15, 25

xd ( x – 5)d1 (d/10)d12
52024
151011
25000
  35

Assumed Mean = 5

σ = √∑d12/n- (√∑d1/n)2x c

σ = 53 – 332 x 10

σ = 1.667 – 12 x 10

σ = 1.667 – 10

σ = -8.333

Actual Mean Method

Here is the formula of the actual mean method of the continuous series:

= √∑fd2/n

d= m – X

An example for the actual mean method:

In this method, you will need to first calculate the mean of the data and then calculate the deviations from it.

CIfmfmd  (m – X)fdfd2
10-2041560-20-806400
20-30825200-10-806400
30-401235420000
40-5016457201016025600
 40 1400  38400

X = fmf= 140040 = 35

= √∑fd2/n

= 3840040= 960

Assumed Mean Method

Here is the standard deviation formula for assumed mean method for the continuous series:

= √∑fd2/n- (√∑fd/n)2

d = X- AX

CIfmd  (m -A X)fdfd2
10-2041510401600
20-30825000
30-4012351012014400
40-50164520320102400
 40  480118400

Assumed mean is 45

= 11840040 – 480402

= 2972- 122

= 2972-144

= 2828

= 53.179

Standard deviation example

Here is a standard deviation example of step deviation method for continuous series:

standard deviation formula:

=√∑fd12/n- (√∑fd1/n)2x c

d = x- assumed mean

CIfmd(m – AX)

d1 ( d/ c)

fd1fd12
0-1025-10-2-48
10-204150000
20-3062510212144
30-40835204361296
 20   441448

Assumed Mean = 15

c = class interval = 5

σ = √∑fd12/n- (√∑fd1/n)2x c

σ = 144820 – 44202 x 5

σ = 72.4 – 2.22x 5

σ = 72.4 – 4.84 x 5

σ = 72.4 – 4.84 x 5

σ = 67.56 x 5

= 67.56 x 5

= 8.219x 5

= 41.097

Conclusion

Understanding the concept of standard deviation is simple and easy. You need to follow this process properly by using the standard deviation calculator. When you follow the process step by step, you will understand the concept of standard deviation.