please help

Simulation of tossing a pair of fair dice can be done using the following two MATLAB lines X=ceil(6*rand(1,n)); Y=ceil(6*rand(1,n)); where n is the number of tosses. Write a MATLAB script to determine the probability P[X+Y=7]. Use a “for” loop to run simulation fifty times with n = 10000. Plot the 100 estimated probability values along with the theoretical result of P[X+Y=7]. 2. Write a MATLAB script to do the following a. Create 10000 random variables uniformly distributed between 2 and 4. b. Create a histogram to approximate the actual probability density function. c. Superimpose the actual probability density function to the above histogram

[Rick Rosson]

What have you tried so far?

[Manu Young]

I have tried Simulation of tossing a pair of fair dice can be done using the following two MATLAB lines X=ceil(6*rand(1,n)); Y=ceil(6*rand(1,n)); where n is the number of tosses. Write a MATLAB script to determine the probability P[X+Y=7]. Use a “for” loop to run simulation fifty times with n = 10000. Plot the 100 estimated probability values along with the theoretical result of P[X+Y=7]

came up with

n= 10000

p=zeros(100,1);

for k=1:100, % 100 trials

X=ceil(6*rand(1,n));

Y=ceil(6*rand(1,n));

w = X + Y;

p(k)=sum(w ==7)/n;

end

plot(1:100,p)

xlabel('number of trials')

ylabel('Average frequency ratio')

Not very about my answer

Thanks

[Rick Rosson]

It looks like you are making good progress. What is your question?

Answer 1

[Walter Roberson]

Refer to the assistance already given to southie on the identical question: http://www.mathworks.com/matlabcentral/answers/10228-help-me-please