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P值≤α：边际概率在统计上存在差异.
P-value≤ α: The marginal probabilities are statistically different.但是，P值更常用，因为它更容易解释。
However, the p-value is used more often because it is easier to interpret.因此，p值的工作就是回答这个问题.
The P value, then answers P值≤α：效应在统计意义上不为0.
P-value≤ α: The effect is statistically different from 0.因此，p值的工作就是回答这个问题.
In other words, the P value answers this question.P值>α：效应在统计意义上并非不为0.
P-value> α: The effect is not statistically different from 0.因此，p值的工作就是回答这个问题.
The job of p-value therefore here is to answer this question.即使p值小于α，您可能也希望排除该项。
Even if the p-value is less than α, you may want to exclude 科研作者作者应该避免在他们的结果中只报告p值。
Authors should avoid reporting just p values in their results.研究员们很常把小的p值错误诠释为虚假的。
Researchers often erroneously interpret smaller p values to mean that the null hypothesis is false.调整的p值通常比未调整的p值更准确。
The adjusted p-value is usually more accurate than the unadjusted p-value.如果P值小于5%，结果称为“统计学显着”。
If the$p$-value is less than 5%, the result of the test is called statistically significant.与本结构相关的也就是标准统计意义上的P值。
Associated with this construction are also p-values in the standard statistical sense.P值可以指出资料跟某一统计模型如何不匹配。
P-values can indicate how incompatible the data are with a specified statistical model.通常，p值越小，否定H0的样本证据越强大。
Usually, Minitab使用t值计算P值，使用P值可以做出有关BLUP值的统计显著性的决定。
Minitab uses 因此，p值在表的边际合计中是有条件的。
Therefore, the p-value is conditional on 如果P值小于5%，结果称为“统计学显着”。
If the P-value is less than 5%, it 由于此p值小于a，因此断定统计意义显著性并否定原假设。
Because this p-value is less than α, you declare statistical significance and reject the null hypothesis.Bonettp值是通过将已更正的置信区间反向来计算的。
The Bonett p-value is calculated by inverting the corrected confidence intervals.
