释义 |
Confidence IntervalThe probability that a measurement will fall within a given Closed Interval . For a continuous distribution,
 | (1) |
where is the Probability Distribution Function. Usually, the confidence interval of interest issymmetrically placed around the mean, so
 | (2) |
where is the Mean. For a Gaussian Distribution, the probability that a measurement falls within of the mean is
Now let , so . Then
where is the so-called Erf function. The variate value producing a confidence interval CI is often denoted , so
 | (5) |
range | CI |  | 0.6826895 |  | 0.9544997 |  | 0.9973002 |  | 0.9999366 |  | 0.9999994 |
To find the standard deviation range corresponding to a given confidence interval, solve (4) for .
 | (6) |
CI | range | 0.800 | ± 1.28155 | 0.900 | ± 1.64485 | 0.950 | ± 1.95996 | 0.990 | ± 2.57583 | 0.995 | ± 2.80703 | 0.999 | ± 3.29053 |
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