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Risk Assessment: Tools, Techniques, and Their Applications
book

Risk Assessment: Tools, Techniques, and Their Applications

by Lee T. Ostrom, Cheryl Wilhelmsen
July 2012
Beginner content levelBeginner
416 pages
9h 21m
English
Wiley
Content preview from Risk Assessment: Tools, Techniques, and Their Applications

7.2 Probability Theory

Probability is defined as the likelihood that the event will occur. Probability measures the uncertainty associated with the outcomes of a random experiment. Some other terms or words used in place of probability are chance, likelihood, uncertainty, and odds. Probability is usually expressed as a fraction with the denominator representing the total number of ways things can occur and the numerator representing the number of things that you are hoping will occur. Probability is always a number between 0 and 1 or between 0% and 100%. Zero means that something cannot happen (impossible) and 1 or 100% means it is sure to happen. Another way to express this is 0 ≤ P(A) ≤ 1, where A is the event. This expression is the first basic rule of probability (3).

There is also a rule that applies to two events, A and B, which are mutually exclusive, that is, the two events cannot occur at the same time. In this case, we express this as P(A or B) = P(A) + P(B). Some textbooks will use mathematical symbols for the words “and” and “or” and the expression would look like images.

Although these rules of probability are extremely few and simple, they are incredibly powerful in application. In order to understand probability, you must know how many possible ways a thing can happen. For instance, if you flip a coin, there are two possible ways it can land, either heads or tails. If we ...

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