normpdf

Probability density function for normal distribution

Usage

normpdf(x)

• It returns the PDF of the standard normal distribution evaluated at elements of x.

normpdf(x,mu)

• The input arrays x and mu should have the same sizes. Otherwise, one of them should be a scalar. They contain, respectively, means of the PDFs being evaluated, and x values at which the PDFs are evaluated.
• The standard deviations are assumed to be 1.
• If x and mu have different sizes, one of them should be a scalar. The scalar input will be expanded to match the size of the other input.

normpdf(x, mu, sigma)

• The input arrays x, mu, and sigma should have the same sizes. Otherwise, for any pair of input arguments having different sizes, one of them must be a scalar; the scalar input will be expanded to match the size of the other input.
• The inputs mu, sigma and x contain, respectively, means and standard deviations of the PDFs being evaluated, and x values at which the PDFs are evaluated.