谁能解释一下这里得p代表什么？
?If the p-value is less than or equal to a predetermined level of significance (a-level), then you reject the null hypothesis and claim support for the alternative hypothesis.
?If your p-value is greater than the a-level, you fail to reject the null hypothesis and can not claim support for the alternative hypothesis.
When you perform a hypothesis test, there are four possible outcomes. The outcomes depend on whether the null hypothesis is true or false and whether you reject or fail to reject the null hypothesis. These outcomes are summarized in the following table:
Null Hypothesis
Decision True False
fail to reject Ho correct decision
p = 1 - a Type II error
p = b
reject Ho Type I error
p = a correct decision
p = 1 - b
When the null hypothesis is true and you reject it, you make a type I error. The probability of making a type I error is called alpha (a) and is sometimes referred to as the level of significance.
Copyright ?2000-2003 Minitab Inc.
这段话我怎么没看明白啊！谁能帮我解释解释，p-value与p是等价得吗？
?If your p-value is greater than the a-level, you fail to reject the null hypothesis and can not claim support for the alternative hypothesis.
When you perform a hypothesis test, there are four possible outcomes. The outcomes depend on whether the null hypothesis is true or false and whether you reject or fail to reject the null hypothesis. These outcomes are summarized in the following table:
Null Hypothesis
Decision True False
fail to reject Ho correct decision
p = 1 - a Type II error
p = b
reject Ho Type I error
p = a correct decision
p = 1 - b
When the null hypothesis is true and you reject it, you make a type I error. The probability of making a type I error is called alpha (a) and is sometimes referred to as the level of significance.
Copyright ?2000-2003 Minitab Inc.
这段话我怎么没看明白啊！谁能帮我解释解释，p-value与p是等价得吗？
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xianyuner123 (威望:1) (广东 深圳)
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相反如果p值大于置信水平，那么就没有足够的证据拒绝原假设而支持备选假设。
当在进行假设检验的时候，会有四种结果，这些结果取决原假设正确与否及是否拒绝原假设，这些结果可以用以下表格来概括。
（表格省略）
当原假设是正确的，但是却拒绝了，那么就犯了第一类错误，犯第一类的概率称为alpha，有时候也称为置信水平。