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The Three Point Estimation technique is based on statistical methods, and in particular, the Normal distribution. Three Point Estimation is the preferred estimation technique for IS projects. In Three Point Estimation we produce three figures for every estimate:▼
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* a = the best case estimate▼
* m = the most likely estimate▼
* b = the worst case estimate▼
▲The
These values are used to calculate an E value for the estimate and a Standard Deviation (SD) where:▼
▲* ''a'' = the best case estimate
▲* ''m'' = the most likely estimate
▲These values are used to calculate an ''E'' value for the estimate and a
E = a + (4*m) + b / 6<br />▼
E is a weighted average which takes into account both the most most optimistic and pessimistic estimates provided and SD measures the variability or uncertainty in the estimate. ▼
: SD = (''b'' − ''a'')/6
▲''E'' is a [[weighted average]] which takes into account both the most most optimistic and pessimistic estimates provided and SD measures the variability or uncertainty in the estimate.
To produce a project estimate the Project Manager:▼
* Decomposes the project into a list of estimable tasks, i.e. a Work Breakdown Structure
* Estimates each the E value and SD for each task.
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We then use the E and SD values to convert the project estimates to Confidence Levels as follows:
* Confidence
* Confidence
* Confidence
* Confidence
* IS use the 95%
== See also ==
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