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Suggested answers to selected questions 467<br />

If this fails they should not lower prices (expected net present<br />

value = $59.6 million, as opposed to $46.7 million for opening a<br />

plant in Slohemia).<br />

(b) The probability of nationalization would have to fall to below<br />

0.14 (approx.) before Slohemia was worth considering.<br />

(10) (a) The college should not conduct the market research and they<br />

should launch the course. This yields expected profits of $28 000<br />

as opposed to an expected loss of $670 if the research is conducted.<br />

(11) The managers should carry out a conventional burn and, if there<br />

are problems, they should apply additional resources (expected net<br />

benefits = $5345 as opposed to $2780 for yarding).<br />

(12) (a) The utility functions suggest risk aversion for both attributes.<br />

(b) The railway should lower prices, but not use advertising<br />

(expected multi-attribute utility = 0.9736 as opposed to 0.644<br />

for retaining existing prices).<br />

Chapter 7<br />

(1) (a) Profit probability distribution is: $0: 0.08; $100: 0.20; $200: 0.24;<br />

$300: 0.30; $400: 0.18.<br />

(c) Probability distribution estimated from simulation is: $0: 0; $100:<br />

0.20; $200: 0.30; $300: 0.30; $400: 0.20.<br />

(3) (b) Assuming that the mean–standard deviation screening procedure<br />

is valid, only designs 1, 2 and 6 lie on the efficient frontier.<br />

Design 6 offers higher returns but also has a higher level of risk<br />

than designs 1 and 2.<br />

(5) (a) The option of replacing the plant with new equipment exhibits<br />

first-degree stochastic dominance over the option of extending<br />

the existing plant.<br />

(b) Replacing the plant with new equipment also exhibits seconddegree<br />

stochastic dominance over the option of moving the<br />

company’s operations.<br />

Chapter 8<br />

(1) (i) p(high sales) = 0.7; p(low sales) = 0.3.<br />

(ii) Posterior probabilities: p(high sales) = 0.4375; p(low sales) =<br />

0.5625.<br />

(2) p(sales exceed one million units) = 0.4615.

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