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marusya05 [52]
3 years ago
13

Suppose that X is a random variable with mean 20 and standard deviation 5. Also

Mathematics
1 answer:
GaryK [48]3 years ago
6 0
Disregard my earlier question.

Recall that the variance of a random variable X, denoted \mathbb V(X), is given by

\mathbb E((X-\mu)^2)

where \mathbb E(X) denotes the expected value/mean of X, and \mu=\mathbb E(X) is the actual mean of X.

Now, recall that

\mathbb V(X)=\mathbb E((X-\mu)^2)=\mathbb E(X^2-2\mu X+\mu^2)
\mathbb V(X)=\mathbb E(X^2)-2\mu^2+\mu^2
\mathbb V(X)=\mathbb E(X^2)-\mathbb E(X)^2

(a) Z=2+10X

\mathbb V(Z)=\mathbb E((2+10X)^2)-\mathbb E(2+10X)^2
\mathbb V(Z)=\mathbb E(4+40X+100X^2)-(\mathbb E(2)+\mathbb E(10X))^2
\mathbb V(Z)=\mathbb E(4)+40\mathbb E(X)+100\mathbb E(X^2)-(\mathbb E(2)+10\mathbb E(X))^2
\mathbb V(Z)=100\mathbb E(X^2)-40000
\mathbb V(Z)=100\left(\mathbb E(X^2)-\mathbb E(X)^2+\mathbb E(X)^2\right)-40000
\mathbb V(Z)=100\left(\mathbb V(X)+\mathbb E(X)^2\right)-40000
\mathbb V(Z)=100\left(5^2+400\right)-40000
\mathbb V(Z)=2500

The standard deviation is the square root of the variance, so for (a) you have

\sqrt{\mathbb V(Z)}=\sqrt{2500}=50

That should give you an idea as to how to figure out the rest.
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