Home » All Programs » Standard Deviation Calculation In MatLab®(Illustrated Expression)

Standard Deviation Calculation In MatLab®(Illustrated Expression)

Standard deviations are very important calculations in data analysis. Because it gives very important analyses and results from given numeric data. As you know that Matlab® software is very good in data analysis and mathematical manipulations like that. So you can calculate standard deviations in Matlab® very easily. This article on Mechanicalland shows you how to calculate standard deviation values with Matlab® coding.

How To Calculate Standard Deviation In MatLab®?

>> a = [2 6 2 64 23 45 632 45 6823];
b = [263 62 626; 65 56 562; 5412 12621 26];
std(a)
std(b)

ans =

     2.249237784475245e+03



ans =

   1.0e+03 *

   3.031551143116892   7.252674702020857   0.329492539116341

>> 

We created an ‘a’ vector and a ‘b’ matrix to show you how to calculate their standard deviations in MatLab®.

The ‘a’ vector’s standard deviation value is calculated with the std() command in Matlab®. So we can understand that there is a one standard deviation value.

Also, the standard deviation value of the matrix ‘b’ is calculated with the std() command in Matlab®. So each row’s standard deviation value of matrices calculated separately in Matlab®.

Conclusion

So it is very easy to calculate standard deviation values of matrices and vectors in Matlab® programming.

Do not forget to leave your comments and questions below about the use of the ‘std()’ command in Matlab® below. 

If you want further coding examples about the ‘std()’ command in Matlab®, inform us in the comments.

This article is prepared for completely educative and informative purposes. Images used courtesy of Matlab®

Your precious feedbacks are very important to us.

Comments

Leave a Reply

Your email address will not be published. Required fields are marked *


Please

leave feedback ?

( For the post )

ASK THE MECHANICALLAND

COMMUNITY


We are always open to your feedback to improve ourselves and the quality of our content! If you have any suggestions, thoughts, or criticism, please let us know. We are trying to improve our blog with constructive feedback. We are aware of how valuable your feedback is for our future development, and we will carefully read all your comments. Thank you in advance!