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。

youdao

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。

youdao

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。

youdao

You are right, the Milankovitch forcing argument is ONLY A NULL HYPOTHESIS. I hope I haven't argued anything more than that.

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Translation, if one were to start with a pre-trial null hypothesis probability of 50% (reflecting equipoise, an ethical prerequisite for randomizing patients), the post-trial null hypothesis probability would still be 9%, which is not sufficient to change my practice.

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