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I should calculate sample mean ms and variance

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Ihor
Ihor 2022-12-4
编辑： Torsten 2022-12-4
I should calculate sample mean ms and variance vs and for each I calculated ms and vs calculate their relative errors in percent, than print it.
I know, that output should be something like that:
but I got only this:
I don't understang what is going wrong.
% Here is my code
m = 10 ;
v = 3 ;
for N = [1 2 5 10.^[ 1 : 5 ] ]
ms = mean( N ) ; % sample mean
vs = var( N ) ; % sample variance
rems = abs(ms-0.5)/0.5 * 100 ;
revs = abs(vs-1/12)/(1/12) * 100 ;
fprintf("Vector length N: %6d, mean: %10.6f, variance: %10.6f, mean error: %10.6f%%, variance error: %10.6f%% \n", N, ms, vs, rems, revs)
end
  1 个评论
Torsten
Torsten 2022-12-4
编辑：Torsten 2022-12-4
rems = abs(ms-0.5)/0.5 * 100 ;
revs = abs(vs-1/12)/(1/12) * 100 ;
0.5 as mean and 1/12 as variance are the theoretical values for mean and variance of a uniform distribution on the interval [0 1].
Of course, you will have to change them and insert here the theoretical values for mean and variance of your data arrays.

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回答（1 个）

Walter Roberson
Walter Roberson 2022-12-4
for N = [1 2 5 10.^[ 1 : 5 ] ]
at each point inside the loop, N will be a scalar value that is one of the values indicated
ms = mean( N ) ; % sample mean
mean of a scalar is the value itself.
vs = var( N ) ; % sample variance
variance of a scalar is 0.

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