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Approaches to probability 75<br />

The subjective approach<br />

Most of the decision problems which we will consider in this book will<br />

require us to estimate the probability of unique events occurring (i.e.<br />

events which only occur once). For example, if a company needs to<br />

estimate the probability that a new product will be successful or that<br />

a new state-of-the-art machine will perform reliably, then, because of<br />

the uniqueness of the situation, the past data required by the relative<br />

frequency approach will not be available. The company may have<br />

access to data relating to the success or otherwise of earlier products<br />

or machines, but it is unlikely that the conditions that applied in these<br />

past situations will be directly relevant to the current problem. In these<br />

circumstances the probability can be estimated by using the subjective<br />

approach. A subjective probability is an expression of an individual’s<br />

degree of belief that a particular event will occur. Thus a sales manager<br />

may say: ‘I estimate that there is a 0.75 probability that the sales of<br />

our new product will exceed $2 million next year.’ Of course, such a<br />

statement may be influenced by past data or any other information<br />

which the manager considers to be relevant, but it is ultimately a<br />

personal judgment, and as such it is likely that individuals will differ<br />

in the estimates they put forward even if they have access to the same<br />

information.<br />

Many people are skeptical about subjective probabilities and yet we<br />

make similar sorts of judgments all the time. If you decide to risk not<br />

insuring the contents of your house this year then you must have made<br />

some assessment of the chances of the contents remaining safe over the<br />

next 12 months. Similarly, if you decide to invest on the stock market,<br />

purchase a new car or move to a new house you must have spent<br />

some time weighing up the chances that things will go wrong or go<br />

well. In organizations, decisions relating to the appointment of new<br />

staff, launching an advertising campaign or changing to a new computer<br />

system will require some evaluation of the uncertainties involved. As we<br />

argued in the Introduction, by representing this judgment numerically<br />

rather than verbally a much less vague assessment is achieved. The<br />

resulting statement can be precisely communicated to others and, as we<br />

shall see in Chapter 12, it enables an individual’s views to be challenged<br />

and explored.<br />

Some people may be concerned that subjective probability estimates<br />

are likely to be of poor quality. Much research has been carried out by<br />

psychologists to find out how good people are at making these sorts of<br />

judgments. We will review this research in Chapter 9 while in Chapter 10

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