Dice Rolling simulation in MATLAB, using relative frequency approach

Consider the dice rolling experiment. Use the relative frequency approach to assign the probability of the event, A = {sum of two dice = 5}. Simulate the tossing of two dice using the MATLAB code. The results of this dice tossing simulation must approximately follow the results shown in Table 1.

[the cyclist]

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Answer 1

[Image Analyst]

Hint:

n = 1000;
rolls = randi(6, n, 2)

rolls = 1000×2

6 2 1 5 5 3 2 1 2 4 5 1 6 4 6 3 5 3 1 3

sumOfRolls = sum(rolls, 2)

sumOfRolls = 1000×1

8 6 8 3 6 6 10 9 8 4

[Achyuth S.S]

Hey, we never used the nA value of 96 [for N = 1000] here. How should I use it?

[Image Analyst]

Looks like you figured it out since you Accepted the answer (thank you 🙂).

I guess you finally realized that it is the number of times the rolls sum to 5 in n tosses.

format short g
alln = 1000 : 1000 : 10000;
for k = 1 : length(alln)
	n = alln(k);
	rolls = randi(6, n, 2);
	sumOfRolls = sum(rolls, 2);
	% Count how many times the sums equal 5.
	nA(k) = sum(sumOfRolls == 5);
	% Compute fraction of 5's
	fract(k) = nA(k) / n;
end
nA

nA = 1×10

99 229 337 442 527 657 780 865 1003 1114

fract

fract = 1×10

0.099 0.1145 0.11233 0.1105 0.1054 0.1095 0.11143 0.10812 0.11144 0.1114

[Achyuth S.S]

thanks , I had figured it out!!