## Probability Density function plot

on 4 Oct 2012

### Wayne King (view profile)

Hy,

I have two value one is for mean and another Standard deviation. how i can plot PDF for it ?

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### Wayne King (view profile)

on 4 Oct 2012
Edited by Wayne King

### Wayne King (view profile)

on 4 Oct 2012

That very much depends on the PDF. For some distributions, the mean itself is necessary and sufficient (like the exponential), for others the mean and standard deviation are necessary and sufficient (the Gaussian), and for still others the distribution is not parametrized by the mean and std. If this is Gaussian, then I'll assume mu is the mean and sigma the standard deviation.

```   mu = 10; sigma = 1.5;
x = mu-(4*sigma):0.01:mu+(4*sigma);
y = normpdf(x,mu,sigma);
plot(x,y)```

So basically you really need to know which PDF you have the first moment (mean) and second central moment (variance) of.

sphinx mo

### sphinx mo (view profile)

on 4 Oct 2012

hy many thanks..

can you explain a little bit , what is meaning x = mu-(4*sigma):0.01:mu+(4*sigma);

Wayne King

### Wayne King (view profile)

on 4 Oct 2012

By assuming a Gaussian distribution, essentially all the probability is the mean plus/minus 3 standard deviations, so I just put an extra one (sigma) in there as a cushion. Any Gaussian function really has infinite support, but for all intents and purposes, you can characterize the PDF by just considering that interval.

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