Statistics: Informed Decisions Using Data (4th Edition)

Published by Pearson
ISBN 10: 0321757270
ISBN 13: 978-0-32175-727-2

Chapter 6 - Section 6.1 - Assess Your Understanding - Applying the Concepts - Page 332: 32

Answer

$E(prize)=0.58$ $E(loss)=0.42$ It is expected that a player will lose 0.42 per ticket bought. If a player buys 1000 tickets, it is expected that he will lose $420.

Work Step by Step

$E(prize)=E(X)=μ_X=Σ[x.P(x)]=100,000\times\frac{1}{324,632}+300\times\frac{1}{2164}+10\times\frac{1}{75}+0\times P(0)=\frac{100,000}{324,632}+\frac{300}{2164}+\frac{10}{75}+0=0.58$ Notice that we could have computed the value of P(0). But, since $0\times P(0)=0$, it was not necessary. The expected profit is the difference between the expected prize and the price of a single ticket. $E(profit)=0.58-1=-0.42$ or $E(loss)=0.42$
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