monte carlo model coin flips in matlab

Here's an example of how to do Monte Carlo simulation for coin flips in Matlab:

main.m
% number of simulations
n = 1000;

% number of coin flips per simulation
num_flips = 100;

% create empty array to store results
results = zeros(n,1);

% run simulations
for i = 1:n
    % generate random sequence of coin flips (0 = tails, 1 = heads)
    coin_tosses = randi([0 1], num_flips, 1);
    
    % calculate number of heads
    num_heads = sum(coin_tosses);
    
    % save result in array
    results(i) = num_heads;
end

% plot histogram of results
histogram(results)
xlabel('Number of Heads')
ylabel('Frequency')
title(['Monte Carlo Simulation of ' num2str(n) ' Coin Flips'])
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This code generates a random sequence of 100 coin flips for each of 1000 simulations. It then calculates the number of heads for each simulation, and saves the result in an array. Finally, it plots a histogram of the results to show the distribution of the number of heads that came up in each simulation.

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