Trick Dice Roll Simulator

Hi guys i have this exercise:"Two dice are loaded by ballasting the face "one" in order to increase the probability that the opposite face will come out, that is "six"; precisely we have Pr (1) = 0.12, Pr (6) = 0.4 for one die and Pr (1) = 0.10, Pr (6) = 0.30 for the other, while the remaining faces are equiprobable. Devise a procedure to simulate the launch of a pair. Then generate, starting from a generator U (0, 1), a sequence of N = 1000 launches and plot the relative frequency of the following events: {P uncount = 12}, {P uncount = 2}, {P uncount = 9} running {1, 2, · · · 1000}. Calculate the mean and standard deviation of the indicators of the events considered. Comment on the results obtained" I have no idea how to simulate the launch of 2 trick dices.Thanks for help

Answer 1

[Image Analyst]

You can use rand(). I don't have any that adjusts the probability from uniform/equal, but that's easy to do. I do have some card demos though. I also have a demo about non-transitive dice. They're attached if you're interested.

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[Gianluca Di pietro]

Hi,yes i have found RandSrc in a tool and i used It and It works good 👌 i have a question : i have a time Vector N from 1 to 1000 and Another Vector F that contains 1000 values of frequency,if i want to plot Frequency functions of N what can i do?i use plot(n,f) but the fact Is that the command makes a Linear interpolation between values.For example i have a frequency at N=2 and another at N=3 but between N=2&3 i dont want a Linear interpolation of values but i want a step behaviour,so It must be costant between N=2&3.. ..how can i plot in that way? It Is a discrete function so i dont want values between values of N

[Image Analyst]

Yes, use bar or stairs instead of plot();

probabilities = rand(1, 8); % Whatever...
probabilities = probabilities / sum(probabilities); % Normalize.
subplot(2, 1, 1);
bar(probabilities);
grid on;

subplot(2, 1, 2);
stairs(probabilities, 'LineWidth', 3);
grid on;
xlim([0, 9]);

[Gianluca Di pietro]

Thank you very much!