进来帮忙翻译一下啊！

Such differences are likely to follow a Normal distribution because we have removed a lot of the variation between subjects and are left with the measurement error.这样的差别很可能遵循正态分布，因为我们已经去除了主体之间的很多变化，指留下了测量误差。 The measurements themselves do not have to follow a Normal distribution, and often they will not.测量值本身不一定要遵循正态分布，而且往往它们并不遵循正态分布。 We can check the distribution of the differences by drawing a histogram. 我们可以画一张直方图来检查这些差别的分布。If this is skewed or has very long tails the assumption of Normality may not be valid (see below).
Provided differences within d ± 2s would not be clinically important, we could use the two measurement methods interchangeably. 如果这是侧斜的，或者有很长的尾部，正态性的假设就不正确（见下面）。如果差别在d ± 2s 以内在临床上不那么重要，我们就可交替采用两种测量方法We shall refer to these as the "limits of agreement".For the PEFR data we get:
我们将这些称为“协议的上下限”。对于PEFR“呼气流速变化率”数据，我们得到：

这种差异有可能遵循正态分布，因为我们已删除了很多的变化和主体之间留下的测量误差。测量本身并没有遵循正态分布，而且往往是他们不会。我们可以检查分布的差异，画一个直方图。如果这是扭曲或有很长的尾巴担任正可能不正确（见下文） 。
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