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{{Short description|Technique used in management and information systems}}
The '''three-point estimation''' technique is used in management and [[information systems]] applications for the construction of an approximate [[probability distribution]] representing the outcome of future events, based on very limited information. While the distribution used for the approximation might be a [[normal distribution]], this is not always so.
In three-point estimation, three figures are produced initially for every distribution that is required, based on prior experience or best-guesses:
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''E'' is a [[weighted average]] which takes into account both the most optimistic and most pessimistic estimates provided. SD measures the variability or uncertainty in the estimate.
In
The [[triangular distribution]] is also commonly used. It differs from the [[Double-triangular distribution|double-triangular]] by its simple triangular shape and by the property that the mode does not have to coincide with the median. The mean ([[expected value]]) is then:
: ''E'' = (''a'' + ''m'' + ''b'') / 3.
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* The 95% confidence interval for the true project work time is approximately E(project) ± 2 × SD(project)
* The 99.7% confidence interval for the true project work time is approximately E(project) ± 3 × SD(project)
* Information Systems typically uses the 95% confidence interval for all project and task estimates.<ref>[[
These confidence interval estimates assume that the data from all of the tasks combine to be approximately normal (see [[Asymptotic distribution#Asymptotic normality|asymptotic normality]]). Typically, there would need to be 20–30 tasks for this to be reasonable, and each of the estimates E for the individual tasks would have to be unbiased.
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{{Reflist}}
{{Project cost estimation methods}}
{{DEFAULTSORT:Three-Point Estimation}}
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