How to generate Zero mean and unit variance

I'm not sure how to generate 1024 samples of pseudo random numbers with zero mean and unit variance using rand and to verify the results with mean, std, and hist.

[the cyclist]

What distribution do you want? Uniform? Normal? Something else?

[Dick Rusell]

I think it is supposed to be uniform.

Answer 1

[Roger Stafford]

If you want a uniform distribution do this:

   n = 1024;
   x = sqrt(3)*(2*rand(n,1)-1);

The random variable x will have a statistical mean of 0 and variance of 1. Of course any given n-element sample will deviate from these. These are only the statistically expected values.

[senthil vel]

why sqrt(3)*(2*rand(1024,1)-1)

[Marius Hernes Brateng]

this comes from the definition of variance. Solve this equation for a, get a = sqrt(3).

Answer 2

[the cyclist]

randn(1024,1)

will generate 1,024 normally distributed values from a population with zero mean and unit variance.

[Dick Rusell]

I think i needed the uniform.

[soumya dwibedy]

how to generate 1000 normally distributed values with (2 7 )mean and unit variance

[the cyclist]

It's usually better to post a new question, than a comment on a 6-year-old one (even though this is related). People won't typically see a comment buried in an old post. It was just lucky that I did.

I don't understand what you mean by "(2 7)mean". Did you you mean just "27"?

Answer 3

[majid]

it helped me so much...thank you انجام پروژه متلب