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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.
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z = RND() + RND() + RND() + RND() + RND() + RND() + RND() + RND() + RND() + RND() + RND() + RND() -6
then create 1000 of these. Add them all up and divide by 1000 to get the mean, right?
why does it say 10,000 observations????
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