Evaluates the normal (Gaussian) probability density function (PDF) for real-valued argument x
$$ f(x)=\frac{1}{\sqrt{2\pi \sigma^{2}}}e^{-\frac{(x-\mu)^{2}}{2\sigma^{2}}} $$
where µ is the mean and σ is the standard deviation. By default, μ=0 and σ=1.
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Syntax |
Description |
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f = normpdf(x) |
Returns the normal (Gaussian) probability density function (PDF) for real-valued argument x. By default, μ=0 and σ=1 |
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f = normpdf(x,mu,sigma) |
Returns the normal (Gaussian) probability density function (PDF) for real-valued argument x. µ is the mean and σ is the standard deviation. |
See Also