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MATLAB Help - Rolling Dice Simulation / Central Limit Theorem

조회 수: 2 (최근 30일)
Ege Tunç
Ege Tunç 2019년 4월 20일
편집: David Wilson 2019년 4월 20일
I need to write a program which throw dices for 100 times and plot mean value/frequency of same numbers. For 1, 2, 3, 4, 5 and 6 dices. I have started with this code:
arr1=[100;1];
arr2=[100;1];
arr3=[100;1];
arr4=[100;1];
arr5=[100;1];
arr6=[100;1];
for n=1:101
a1=randi(6);
a2=randi(6);
a3=randi(6);
a4=randi(6);
a5=randi(6);
a6=randi(6);
single=a1;
duo=a1+a2;
triple=a1+a2+a3;
quadro=a1+a2+a3+a4;
penta=a1+a2+a3+a4+a5;
hexa=a1+a2+a3+a4+a5+a6;
arr1(n)=single;
arr2(n)=duo;
arr3(n)=triple;
arr4(n)=quadro;
arr5(n)=penta;
arr6(n)=hexa;
end
I need to collect all these 100 values in a cell and plot frequency of same numbers. Like this:

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David Wilson
David Wilson 2019년 4월 20일
편집: David Wilson 2019년 4월 20일
A quick hack using randi and cumsum is
N = 100
x = randi(6,N,6);
cs = cumsum(x')';
for i=1:6
subplot(3,2,i)
histogram(cs(:,i))
end
which delivers a plot (not quite in the same order as your one above). Of course with only 100 samples, the approximations are pretty crude.

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