For more information, please refer to the Statistics Toolbox of MATLAB.

1.1).       Mean / median / std

1.2).       cov

Covariance matrix

1.3).       corrcoef

Correlation coefficients.

1.4).       pdf

Probability density function (pdf) for specified distribution

[e.g.]

p = pdf('Normal',-2:0.1:2, 0, 1)

1.5).       normrnd

Generate random numbers from normal distribution

1.6).       normplot

Normal probability plot for graphical normality testing.

Notice: some statistical analysis methods may assume the input data is normal distribution. Therefore, before we apply these methods to our data, we’d better check this assumption.

[e.g.]

x = normrnd(0, 1, 50, 1);

h = normplot(x);

1.7).       ksdensity

Compute density estimate using kernel-smoothing method.

1.8).