统计检验的结论有两种，一是拒绝虚无假设(reject null hypothesis)，也就是具有统计显著性;一是不能拒绝虚无假设(fail to reject null hypothesis)，也就是不具有统计显著性。
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reject the null hypothesis 拒绝虚无假设
If that probability is low, then you can reject the null hypothesis that the mean is the best predictor and, correspondingly, gain confidence that a simple linear model offers a good fit for the data.
如果概率很低，那就可以不采用平均值是最佳预测值这一无效假设，并且相应地可以确信简单线性模型是与数据良好吻合的。
We would like to reject H0 （recall that in statistical hypothesis testing rejection of Null hypothesis is always a strong conclusion），thereby demonstrating that the process is capable.
我们想要否定H0（ 取消对统计的假设中无效力假设的测试否定一直是一个强大的结论）。 因此，示范加工是有能力的。
Most statisticians would not argue if you decided to reject the null hypothesis that the results can be accounted for in terms of random sampling variability from the null distribution.
如果您决定 排除虚假设— 结果可以按照零分布的随机抽样可变性获得，那么大多数统计师都不会有争议。
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