I set up my histogram:
AllRoll = randi(6,50000, 1);
SumRoll = sum(AllRoll, 2);
Bins = (1:6);
hist(SumRoll,Bins);
title(sprintf('Histogram'));
xlabel(sprintf('1-6'));
ylabel(sprintf('number of rolls'));
grid on
hold on
I'm trying to turn this into a pdf. I know I have to bring down the values so that it can equal 1, but I'm not sure what I'm dividing and multiplying and summing here.

 Akzeptierte Antwort

Akira Agata
Akira Agata am 5 Feb. 2018

2 Stimmen

hist function is not recommended. Please use histogram function instead.
And by setting the 'Normalization' option, PDF can be plotted, like:
AllRoll = randi(6,50000, 1);
SumRoll = sum(AllRoll, 2);
Edges = 0.5:1:6.5;
histogram(SumRoll,Edges,'Normalization','probability');
title(sprintf('PDF'));
xlabel(sprintf('1-6'));
ylabel(sprintf('Probability'));
grid on
hold on

1 Kommentar

jyoti mundra
jyoti mundra am 23 Nov. 2018
why cannot we use pdf value for normalisation property of histogram. What it will give?

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Weitere Antworten (1)

Akira Agata
Akira Agata am 25 Nov. 2018

2 Stimmen

You can set 'Normalization' option of histogram function to 'pdf', like:
histogram(SumRoll,Edges,'Normalization','pdf');
If you want to obtain pdf value for each pip of a die, you can use histcount function.
p = histcounts(SumRoll,Edges,'Normalization','pdf');
The result is as follows:
>> p
p =
0.1649 0.1683 0.1640 0.1688 0.1681 0.1659

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