I have this code to sum 10 independent uniform random variables to verify the central limit theorem but I could not change the code to get a curve plot instead of the histogram this is the code
uniform_RVs = [];
sample_averages = [];
random_draw = [];
for i = 1:500
for j = 0:20
random_draw = [random_draw 4.*rand];
end
sample_averages = [sample_averages mean(random_draw)];
uniform_RVs = [uniform_RVs random_draw];
random_draw = [];
end
figure(1)
hist(uniform_RVs, 25)
xlabel('Observation')
ylabel('Frequency')
figure(2)
hist(sample_averages, 25)
xlabel('Observation')
ylabel('Frequency')
sample_mean = mean(sample_averages)
sample_var = var(sample_averages)
Please help me

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Dishant Arora
Dishant Arora 2014년 5월 15일

0 개 추천

histfit fits normally distributed data. For details refer documentation.
doc histfit

추가 답변 (1개)

hamza
hamza 2014년 5월 15일

0 개 추천

but I do not know which command to use

카테고리

도움말 센터File Exchange에서 Histograms에 대해 자세히 알아보기

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질문:

2014년 5월 15일

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2014년 5월 15일

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