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scientificComputing/statistics/exercises/die2.m

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617 B
Matlab

ndies = 20;
n = 100;
P = zeros(ndies, 6);
for i = 1:ndies
% (a) roll a single die:
x = rollthedie(n, 6);
% (b) compute normalized histogram:
[h,b] = hist(x, 1:6);
h = h/sum(h); % normalization
% (c) store the histograms:
P(i,:) = h;
end
% (c) mean and standard deviation for each eye:
m = mean(P, 1);
s = std(P, 1);
% (d) plot results:
bar(m, 'facecolor', [0.8 0 0]); % darker red
hold on;
errorbar(m, s, '.k', 'linewidth', 2); % k is black
set(gca, 'XTick', 1:6);
xlim([ 0, 7 ]);
ylim([ 0, 0.25])
xlabel('Eyes');
ylabel('Probability');
hold off;
savefigpdf(gcf, 'die2.pdf', 6, 5)