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.

Answer 1

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

Answer 2

then is it asking to store 1000 of these z's?

Answer 3

the last part of this says Calculate the mean and variance for N=10,000 observations.

Answer 4

you need to standardize you sum. it will not be approx normal(0,1) if you don't

Answer 5

? how do you do that

Answer 6

see my post in the other thread

Answer 7

you are ok...With the sample size of 12 is cancels out the standard deviation so you are good

Answer 8

so wait you still have to do what you posted in the other thread right?

Answer 9

you can...but it simplifies to what you wrote above

Answer 10

hrm why did he put the >1000 part then?

Answer 11

sorry this is all very confusing for me. never taken a statistics class before, but he's throwing all of this at us in our discrete class

Answer 12

sorry gotta go teach.... you need to do this 1000+ times to get 1000+ normal random variables

Answer 13

I'll be back later

Answer 14

eek k thank you

Answer 15

just not sure why you have to create 1000 variables, then 10,000 observations?

Answer 16

I guess that is what your instructor wants.