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Downloadable - About University

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The multiplication rule 81<br />

example, what is the probability that both the New York and the London<br />

Stock Market indices will fall today, or what is the probability that we<br />

will suffer strikes this month at both of our two production plants? The<br />

probability of A and B occurring is known as a joint probability,andjoint<br />

probabilities can be calculated by using the multiplication rule.<br />

Before applying this rule we need to establish whether or not the two<br />

events are independent. If they are, then the multiplication rule is:<br />

p(A andB) = p(A) × p(B)<br />

For example, suppose that a large civil engineering company is involved<br />

in two major projects: the construction of a bridge in South America and<br />

of a dam in Europe. It is estimated that the probability that the bridge<br />

construction will be completed on time is 0.8, while the probability that<br />

the dam will be completed on time is 0.6. The teams involved with the<br />

two projects operate totally independently, and the company wants to<br />

determine the probability that both projects will be completed on time.<br />

Since it seems reasonable to assume that the two completion times are<br />

independent, we have:<br />

p(bridge and dam completed on time) = p(bridge completed on time)<br />

× p(dam completed on time)<br />

= 0.8 × 0.6 = 0.48<br />

The use of the above multiplication rule is not limited to two independent<br />

events. For example, if we have four independent events, A, B, C<br />

and D, then:<br />

p(A and B and C and D) = p(A) × p(B) × p(C) × p(D)<br />

If the events are not independent the multiplication rule is:<br />

p(A andB) = p(A) × p(B|A)<br />

because A’s occurrence would affect B’s probability of occurrence. Thus<br />

we have the probability of A occurring multiplied by the probability of<br />

B occurring, given that A has occurred.<br />

To see how the rule can be applied, consider the following problem.<br />

A new product is to be test marketed in Florida and it is estimated that<br />

there is a probability of 0.7 that the test marketing will be a success.<br />

If the test marketing is successful, it is estimated that there is a 0.85<br />

probability that the product will be a success nationally. What is the

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