how to calculate the skewness of a vector in matlab

To calculate the skewness of a vector in Matlab, we use the skewness function from the Statistics and Machine Learning Toolbox. The skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean. A positive skewness indicates a longer or fatter tail on the right-hand side of the distribution, while a negative skewness indicates a longer or fatter tail on the left-hand side of the distribution.

Here's the syntax of the skewness function in Matlab:

main.m
S = skewness(X)
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where X is the input vector and S is the sample skewness of X.

Example:

main.m
X = [1 2 3 4 5 6 7 8 9 10];
S = skewness(X);
disp(S);
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Output:

main.m
0
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In this example, the input vector X has a skewness of zero, which indicates it is a symmetric distribution.