From successive sums of 12 uniform random variables (i.e., use the BASIC system RND() function) use the Central Limit Theorem and BASIC to generate a long sequence (1000) of Normal random variables with zero mean and unity variance. Calculate the mean and variance for N=10,000 observations.

Question

From successive sums of 12 uniform random variables (i.e., use the BASIC system RND() function) use the Central Limit Theorem and BASIC to generate a long sequence (>1000) of Normal random variables with zero mean and unity variance. Calculate the mean and variance for N=10,000 observations.

anonymous · Answer

z = RND() + RND() + RND() + RND() + RND() + RND() + RND() + RND() + RND() + RND() + RND() + RND() -6

anonymous · Answer

So create 1000 of these normal random variables right?

anonymous · Answer

then not sure what the 10,000 observations means

anonymous · Answer

is it something with computer most accurately c++

anonymous · Answer

just want the general concept of what he is asking. i can do the rest of the programming

anonymous · Answer

questioning the calculate normal random variables from uniform variables etc

anonymous · Answer

ok so wait. you basically create z with all the RND's, do that 1000 times and calculate the mean. then hrmm well i'm not sure how to do the variance

anonymous · Answer

i admit myself that i don't know 
i would better ask you to do a program with such a code in your tc and check it out