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240 Revising judgments in the light of new information<br />

Weather conditions<br />

Production strategy Hot and dry Mixed Cold and wet<br />

Plan for high sales 400 100 −100<br />

Plan for medium sales 200 180 70<br />

Plan for low sales 110 100 90<br />

(a) On the basis of the information given, determine:<br />

(i) The course of action which will maximize expected profits;<br />

(ii) The expected value of perfect information<br />

and discuss the practical implications of your result.<br />

(b) A long-range weather forecast suggests that next summer’s<br />

weather conditions will, in general, be cold and wet. The reliability<br />

of the forecast is indicated by the following probabilities<br />

which are based on past performance:<br />

p(cold, wet conditions forecast when weather will be hot<br />

and dry) = 0.3<br />

p(cold, wet conditions forecast when weather will be<br />

mixed) = 0.4<br />

p(cold, wet conditions forecast when weather will be cold<br />

and wet) = 0.6<br />

In the light of the long-range weather forecast, should the<br />

company change from the course of action you recommended<br />

in (a)?<br />

(7) A company has just received some ‘state of the art’ electronic<br />

equipment from an overseas supplier. The packaging has been<br />

damaged during delivery and the company must decide whether<br />

to accept the equipment. If the equipment itself has not been<br />

damaged, it could be sold for a profit of $10 000. However, if the<br />

batch is accepted and it turns out to be damaged, a loss of −$5000<br />

will be made. Rejection of the equipment will lead to no change<br />

in the company’s profit. After a cursory inspection, the company’s<br />

engineer estimates that there is a 60% chance that the equipment<br />

has not been damaged. The company has another option. The<br />

equipment could be tested by a local specialist company. Their test,<br />

however, is not perfectly reliable and has only an 80% chance of<br />

giving a correct indication.<br />

How much would it be worth paying for the information from<br />

the test? (Assume that the company’s objective is to maximize<br />

expected profit.)

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