Graph cumulative sum against percentage

I want a graph of the cumulative percentage of two random dices that add up to 6 as a percentage of the total throws (in the subplot (2,1,2).

Any advice would be great.

[the cyclist]

My advice is that since this sounds like a homework problem, you post your code showing some evidence that you tried yourself. Then maybe someone will give you a hint, without just doing your work for you.

[Brian]

I just don't know how to do a graph of the percentage that are 6 against the number of throws, since the vector size is different every time.

[Image Analyst]

x is the number of throws, so you're doing it right, at least in the first plot. I have no idea what f is in the second plot since you didn't assign it.

[Brian]

(Ignore f), I just want to do a graph of the percentage of throws which add up to 6 kinda over time in a sense, if we imagine each set of thrrows is one second.

When I tried I couldn't get it to work, the f was left over from when I tried

[Image Analyst]

OK - ignore the second plot. So why isn't the first plot what you want?

Answer 1

[Image Analyst]

Use randi() and plot(). Put in a loop over a million iterations if you want to do a Monte Carlo Simulation. It's just basic programming.

numberOfThrows = 1000000
die1 = randi(6, [numberOfThrows, 1]);
die2 = randi(6, [numberOfThrows, 1]);
sixCount = 0;
for t = 1 : numberOfThrows
  thisThrow1 = die1(t);
  thisThrow2 = die2(t);
  theSum = thisThrow1 + thisThrow2;
  if theSum == 6
    sixCount = sixCount + 1;
    % etc. - I'm sure you can finish it.
  end
end