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Problem 3. If Xi,... . Xio are a random sample from a Normal distribution N(2,32) and 10 - X is the sample mean. (a) What is

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Answer #1

3)

Here, X_{i}\sim N(2,3^{2})

From Central limit theorem, we know,\overline{X}\sim N(\mu,\frac{\sigma^{2}}{n})\sim N(2,\frac{3^{2}}{10})

a)

So, ELX ) = 2

b)

Also, Var(\overline{X})=\frac{3^{2}}{10}=0.9

c)

Using the Central limit theorem, we know,\overline{X}\sim N(\mu,\frac{\sigma^{2}}{n})\sim N(2,\frac{3^{2}}{10})

i.e. it follows Normal distribution with mean 2 and variance 0.9.

d)

Required probability = P( 1.5 . T < 2.5) = P( 1.5-2 2.5- 2 V0.9 0.9 V0.9

P(-0.53 < Z < 0.53) = P(Z < 0.53)-P(Z <-0.53)

P(Z < 0.53) - P(Z0.53)P(Z< 0.53) [1 - P(Z< 0.53)

070194-11-0.70 1941 0.40388

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