This book combines theoretical and practical applications and takes project managers through the most important quantitative methods, integrates them, and illustrates interrelationships.
Table 2-8 provides the highlights of this chapter.
Table 2-8: Summary of Important Points
Point ofDiscussion
Summary of Ideas Presented
No facts about the future
Uncertainty is present in every project.
Risk management is the process, but probability and statistics provide the mathematical underpinning for the quantitative analysis of project risk.
Probability and projects
The outcome of any single event, whether it is a coin toss or a project, cannot be known with certainty, but the pattern of behavior of a random event can be forecast.
Single-point deterministic estimates forego the opportunity to estimate and forecast the impact of opportunity and threat.
The relative frequency use of probability, such as "one chance in ten," forecasts a specific outcome; the subjective use of probability, such as "there is a 20% chance of rain today," expresses a "confidence" of an event within a range.
Project events that are not mutually exclusive, or impose conditions that obviate independence between them, generally reduce the probability that either event will happen as planned.
All probabilities of a single event must fall in the space of "zero to one" such that the equation p + (1-p) = 1 holds at all times.
Random variables
If the outcome of a specific event has a numerical value, then the outcome is a variable, and because its value is not known with certainty before the fact, and could take on more than one value from event to event, it is a random variable.
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