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1. A mail-order computer business has six telephone lines. Let X ...

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X = n<br />

i=1 Xi, where each Xi ∼ BIN(1, p), (or Bernoulli with<br />

parameter p - a r.v taking value 1 with probability p and 0 with<br />

pr. 1 − p).<br />

Therefore<br />

=<br />

E[X] = E[<br />

=<br />

n<br />

Xi]<br />

i=1<br />

n<br />

E[Xi] = np<br />

i=1<br />

= 10 × 0.5 = 5<br />

V [X] = V [<br />

=<br />

n<br />

Xi]<br />

i=1<br />

n<br />

V [Xi]<br />

i=1<br />

n<br />

p(1 − p) = np(1 − p)<br />

i=1<br />

= 10 × 0.5 × 0.5 = 2.5<br />

Standard deviation is the square-root of variance, and hence equals<br />

<strong>1.</strong>581139.<br />

6. Show that E(X) = np when X is a binomial random variable. [HINT:<br />

First express E(X) as a sum with lower limit x = <strong>1.</strong> Then factor out<br />

np, let y = x − 1 so that the sum is from y = 0 to y = n − 1, and show<br />

that the sum equals <strong>1.</strong>]<br />

Ans<br />

E[X] =<br />

=<br />

=<br />

n<br />

x=1<br />

n<br />

x=0<br />

<br />

n<br />

x<br />

x<br />

<br />

p x (1 − p) n−x<br />

n n!<br />

x<br />

x!(n − x)! px (1 − p) n−x<br />

x=0<br />

n!<br />

(x − 1)!(n − x)! px (1 − p) n−x<br />

n−1 (n − 1!<br />

= n<br />

y!(n − y − 1)! py+1 (1 − p) n−y−1<br />

y=0<br />

= np(p + 1 − p) n−1 = np<br />

5

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