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In statistics, the 68–95–99.7 rule, also known as the empirical rule, and sometimes abbreviated 3sr or 3 σ, is a shorthand used to remember the percentage of values that lie within an interval estimate in a normal distribution: approximately 68%, 95%, and 99.7% of the values lie within one, two, and three standard deviations of the mean ...
The relation between and are given by the following table, where the values for DRMS and 2DRMS (twice the distance root mean square) are specific to the Rayleigh distribution and are found numerically, while the CEP, R95 (95% radius) and R99.7 (99.7% radius) values are defined based on the 68–95–99.7 rule
If a data distribution is approximately normal then about 68 percent of the data values are within one standard deviation of the mean (mathematically, μ ± σ, where μ is the arithmetic mean), about 95 percent are within two standard deviations (μ ± 2σ), and about 99.7 percent lie within three standard deviations (μ ± 3σ).
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. [2]
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No description. Template parameters [Edit template data] Parameter Description Type Status float float Float on the left or right of the page Suggested values left right none Default left Example right String optional caption caption Caption for calculator widget Content optional The above documentation is transcluded from Template:Calculator layout/doc. (edit | history) Editors can experiment ...
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