Matlab normpdf greater than 1/3

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Learn about the multivariate normal distribution, a generalization of the univariate normal to two or more variables. Compute the pdf of a standard normal distribution, with parameters μ equal to 0 and σ equal to 1. x = [-3:.1:3]; y = normpdf(x,0,1);. Plot This MATLAB function returns the inverse of the standard normal The interval x1 also contains 95% of the probability, but it is longer than x . This MATLAB function returns the cumulative distribution function (cdf) of the standard normal distribution, evaluated at the values in x. Note that the distribution-specific function normrnd is faster than the generic function random . Use randn to generate random numbers from the standard normal For example, observations larger than some fixed value might not be recorded because of pdf_truncnorm = @(x2,mu,sigma) normpdf(x2,mu,sigma).This MATLAB function returns an n-by-1 vector y containing the probability density function (pdf) values for the d-dimensional multivariate normal 1:3; pdf_normal = pdf(pd,x);. Plot the pdf. plot(x,pdf_normal,'LineWidth',2).