在TREX上找不到"P值"中文 - 英语方向
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(
P值)
P-value≤ α: The marginal probabilities are statistically different.
However, the p-value is used more often because it is easier to interpret.
The P value, then answers the question.
P-value≤ α: The effect is statistically different from 0.
In other words, the P value answers this question.
P-value> α: The effect is not statistically different from 0.
The job of p-value therefore here is to answer this question.
Even if the p-value is less than α, you may want to exclude the term.
Authors should avoid reporting just p values in their results.
Researchers often erroneously interpret smaller p values to mean that the null hypothesis is false.
The adjusted p-value is usually more accurate than the unadjusted p-value.
If the$p$-value is less than 5%, the result of the test is called statistically significant.
Associated with this construction are also p-values in the standard statistical sense.
P-values can indicate how incompatible the data are with a specified statistical model.
Usually, the smaller the p-value, the stronger the sample evidence is for rejecting H 0.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 the t-value to calculate the p-value, which you use to make a decision about the statistical significance of the BLUP values.
Therefore, the p-value is conditional on the marginal totals of the table.
If the P-value is less than 5%, it is considered small and the result is called“statistically significant..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.
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