I should calculate sample mean ms and variance

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

[Torsten]

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.

Answer 1

[Walter Roberson]

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.

[Ihor]

Thank you! What should I do to solve this problem?