Mean or mean is the average of a succession of numbers. In MATLAB, mean (A) return the mean of the components of A along the first array dimension whose dimension doesn’t equal to 1. Expect that A is a vector, then mean(A) returns the median of the components. Now, if A is a matrix form, then mean(A) return a row vector containing the typical of every column.

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Mean =\displaystyle \bar x=\frac 1n\left(\sum _i=1^nx_i\right)=\frac x_1+x_2+\cdots +x_nn Example:Mean of succession x = <1,2,3,4,5> = amount of numbers/Count of number = 15/5 = 3


Different syntax that the mean() an approach is:M = mean(A)M = mean(A,’all’)M = mean(A,dim)M = mean(A,vecdim)

M = mean(A)

It returns the mean of succession A.If A is a vector, then it returns the mean of all elements in the vectorIf A is a matrix, climate it returns a vector wherein each aspect is the typical of each shaft in A.Example:
Output:


Output :

M = mean(A, ‘all’)

It return the mean of all the elements in A one of two people it can be vector or matrix.Example:

M = mean(A,dim)

It returns the mean of matrix A follow me each that the provided dim.If dim = 1, then it return a vector whereby the median of each column is included.If dim = 2, then it return a vector where the average of each row is included.

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Example:
Output :

M = mean(A,vecdim)

It returns the mean of A based on the stated dimensions vecdim in A.If A is a 2-by-2-by-3 array, then mean(A,<1 2>) calculates the average of each page of dimension 2-by-2 together it’s taken into consideration as a solitary entity. Therefore it return the vector of dimension 3 as the average of each page.Example:
Output:


Class 12 RD Sharma services - chapter 32 Mean and also Variance of a arbitrarily Variable - exercise 32.2 | set 1
Class 12 RD Sharma Solutions- thing 32 Mean and also Variance the a arbitrarily Variable - practice 32.1 | set 1
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