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Why does this probability density function looks off?

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I have a random variable x which has a mean of 10 and a variance of 16. I used the following code to generate the array and the PDF:
x= randn(100,1) * sqrt(16)+10;
mu = 10;
sigma = 4;
pd = makedist('Normal',mu,sigma);
y=pdf(pd,x);
hist(y)
Should i be plotting with something other than hist or is x itself wrong? Thank you.

Risposta accettata

the cyclist
the cyclist il 24 Gen 2017
Modificato: the cyclist il 24 Gen 2017

The mistake is in using hist. Plot x vs. y instead, because y is the value of the pdf itself.

x= randn(100,1) * sqrt(16)+10;
mu = 10;
sigma = 4;
pd = makedist('Normal',mu,sigma);
y=pdf(pd,x);
figure
plot(x,y,'.')
  5 Commenti
the cyclist
the cyclist il 25 Gen 2017
Modificato: the cyclist il 25 Gen 2017

You fell into the same trap of not multiplying by dx. I'm not certain, but you may also failed to account for the fact that your values of y are not ordered. So, I think you may have gotten a more-or-less random answer.

There is no need to choose your x at random. It would be much better to choose an evenly spaced array of x from the beginning, and your whole problem becomes simpler.

Like this ...

mu = 10;
sigma = 4;
dx = 0.01;
x = mu - 5*sigma : dx : mu + 5*sigma;
pd = makedist('Normal',mu,sigma);
y=pdf(pd,x);
figure
plot(x,y)
probability_total = sum(dx*y)
Probability_x_greater_than_5 = sum(dx.*y(x>5))

I got 0.8941 for that probability.

Notice that these are probabilities, so they lie between 0 and 1. If you want them represented as percentages, then divide by 0.01.

Mohannad Abboushi
Mohannad Abboushi il 1 Feb 2017
Awesome thank you very much that was a good explanation!

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