Confidence intervals are the most prevalent form of interval estimation.

置信区间是区间估计中最常用的一种形式.

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However, confidence intervals and credibility intervals are not only mathematically different; they have radically different interpretations.

然而, 置信区间和可信区间不仅仅是数学意义上的不同, 它们有很明显的不同解释.

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In applied practice , confidence intervals are typically stated at the 95 % confidence level.

事实上, 95%的置信程度被称为是典型的置信区间.

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The Six Sigma Black Belt should be able to compute confidence intervals for various statistics.

西格玛应能计算出各种统计的置信区间.

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Confidence intervals and interval estimates more generally have applications across the whole range of quantitative studies.

置信区间,广义上即区间估计,在各式各样的量化研究中有广泛的应用.

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Confidence intervals play a similar role in frequentist statistics to the credibility interval in Bayesian statistics.

置信区间之于频率论统计,好比可信区间之于贝氏统计.

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