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

Plant potatoes<br />

Plant alternative crop<br />

Seek perfect<br />

information<br />

Expected return<br />

= $72000<br />

Test indicates<br />

virus absent<br />

0.7<br />

Test indicates<br />

virus present<br />

0.3<br />

Expected return<br />

= $57000<br />

Plant potatoes<br />

Plant alternative crop<br />

Figure 8.8 – Determining the expected value of perfect information<br />

Virus absent<br />

0.7<br />

Virus present −$20000<br />

0.3<br />

Virus absent<br />

1.0<br />

$90000<br />

$30000<br />

$90000<br />

$30000<br />

decides initially to work on the assumption that the test is perfectly<br />

accurate. If this is the case, what is the maximum amount that it would<br />

be worth paying Ceres to carry out the test?<br />

A decision tree for the farm manager’s problem is shown in Figure 8.8.<br />

In the absence of information from the test, he should plant a full crop<br />

of potatoes since his expected return if he follows this course of action<br />

will be:<br />

0.7 × $90 000 + 0.3 ×−$20 000 = $57 000<br />

which exceeds the $30 000 return he will receive if he plants an alternative<br />

crop.<br />

Now we need to determine the expected value of the perfect information<br />

which will be derived from the test. To do this, we need to consider<br />

each of the possible indications the test can give, how probable these<br />

indications are and how the manager should respond to each indication.<br />

The calculations are summarized in Table 8.1. First, the test might<br />

indicate that the virus is absent from the soil. The specialist has said<br />

that there is a 70% chance that the virus is absent so, because the test is<br />

assumed to be perfectly accurate, the manager can assume that there is<br />

a probability of 0.7 that the test will give this indication. If the test does

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