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