Solution
Back-up Theory
If a random variable X ~ N(µ, σ2), i.e., X has Normal Distribution with mean µ and variance σ2,
then, X bar ~ N(µ, σ2/n). ……..……………………………………………………………............…….(1),
where X bar is average of a sample of size n from population of X.
If X ~ N(µ1, σ12), Y ~ N(µ2, σ22), then
(aX + bY) ~ N(µ, σ2) µ = aµ1 + bµ2, and σ2 = a2σ12 + b2σ22 + 2abCov(x, y) …………………… (2a)
(aX - bY) ~ N(µ, σ2) µ = aµ1 - bµ2, and σ2 = a2σ12 + b2σ22 - 2abCov(x, y) ……...……………… (2b)
If X and Yare independent, then
(aX + bY) ~ N(µ, σ2) µ = aµ1 + bµ2, and σ2 = a2σ12 + b2σ22 …………………………....……..… (2c)
(aX - bY) ~ N(µ, σ2) µ = aµ1 - bµ2, and σ2 = a2σ12 + b2σ22…………………………....……..… (2d)
Now to work out the solution,
Given ages are Normally distributed with mean, µ = 19 and standard deviation, σ = 2, i.e., N(19, 22)
Part (a)
Vide (1), X bar ~ N(19, 12) Answer
[Note: n = 4]
Part (b)
By the same theory, Y bar ~ N(19, 12) Answer
Part (c)
Since the samples are independent, vide (2d),
(2Xbar - Ybar) ~ N[(2 x 19) – 19, (4 x 1) + (1 x 1)]
i.e., N(19, 5) Answer [Note: 5 is the variance]
[Here, a = 2, µ1 = µ2,b = 1, σ12 = σ22 = 1]
DONE
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