On 7/3/2013 6:52 PM, faraz.a wrote: > i want to generate 50,000 samples according to the gaussian distribution > using random number generator where sigma=1 and mean=0 X is a normally > distributed random variable N(0,?2). mean=0 variance=1 > > I did this R=randn(50000) > > i got an error > > Error using randn > Out of memory. Type HELP MEMORY for your options.
You tried to generate 50K x 50K array which is ~19 GB
> and if i am using R=randn(50000,1); > hist(R) > > this generated a distribution but the y label was ranging from -4 to 5. > I want it from -infinity to +infinity > how to do that?
What's the probability of getting either extreme from a sample from a standard normal distribution?
For that matter, what's the probability of |z|>5? How does that compare w/ the size of the sample generated?