Quantitative Methods in Project Management

Summary of Important Points

Table 2-8 provides the highlights of this chapter.

Table 2-8: Summary of Important Points

Point of Discussion

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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