supa

trials = 100000;
X_vector = random( ' Binomial ' , 10 , 0.6 , 1 , trials )
for i.html">i=1:11
count ( i.html">i , 1 ) = i-1 ;
count ( i.html">i , 2 ) = sum( ( i-1) == X_vector ) ;
end
bar ( count ( : , 1 ) , count ( : , 2 ) / trials ) ;

Simulate and plot the probability mass functions for the following random variables:
1. Binomial with parameters n = 20 and p = 0.2 (you will need more bins in your histogram)
2. Geometric random variable with parameter p = 0.1 (choose reasonable number of bins). Note that they
define the geometric as the number of failures after a success which is why you can get zero.
3. Poisson random variable with parameter lamda= 3