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We want to generate a normal random value from a distribution with mean mu = 0 and variance sigma 2 = 1 using

We want to generate a normal random value from a distribution with mean \mu =0 and variance \sigma 2=1
using the convolution method. We generate 12 uniform(0,1) values ui, i =1,2,...,12, and find their sum is
4.93.
(a)[1 point] What standard normal random value is generated?
(b)[2 points] Suppose that instead of using the 12 ui values directly, we computed wi =1 ui, which
would themselves also be pseudo-random values from a uniform(0,1) distribution. If we had used the
wis to generate the normal value instead of the uis, what would its value be?
(c)[1 point] Use the answer from (a) to generate a value from a normal distribution having mean \mu =10
and variance \sigma 2=9.
(d)[1 point] If we used the convolution method to generate a value from a N (\mu =2,\sigma 2=4) distribution
and obtained x =3, what must have been the value of 12
i=1 ui?
2

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