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橘子皮橙子心儿🍊 · 2022年05月17日

老师为什么p-value值越小,越拒绝啊,一直理解不了

NO.PZ2018122801000062

问题如下:

For a sample of 400 firms, the relationship between corporate revenue (Yi) and the average years of experience per employee (Xi) is modeled as follows:

Y i = β 1 + β 2 X i + ε i ,i=1,2,...,400  

You wish to test the joint null hypothesis that at the 95% confidence level. The p-value for the t-statistic for β1 is 0.07, and the p-value for the t-statistic for β2 is 0.06. The p-value for the F-statistic for the regression is 0.045. Which of the following statements is correct?

选项:

A.

You can reject the null hypothesis because each β is different from 0 at the 95% confidence level.

B.

You cannot reject the null hypothesis because neither β is different from 0 at the 95% confidence level.

C.

You can reject the null hypothesis because the F-statistic is significant at the 95% confidence level.

D.

You cannot reject the null hypothesis because the F-statistic is not significant at the 95% confidence level.

解释:

C is correct.

考点 Regression Coefficient Confidence Interval and Significance test

解析 The T-test would not be sufficient to test the joint hypothesis. In order to test the joint null hypothesis, examine the F-statistic, which in this case is statistically significant at the 95% confidence level. Thus, the null can be rejected.

老师为什么p-value值越小,越拒绝啊,一直理解不了

1 个答案

DD仔_品职助教 · 2022年05月17日

嗨,爱思考的PZer你好:


p-value代表的是检验数据尾部的概率,如果p-value越小,那么落入拒绝域的可能性越大,就越容易拒绝。

比如p-value是1%,代表该检验值所对应的z值的尾部概率,当假设检验是5%时,p-value小于5%,就落入了拒绝域,拒绝原假设,同理,pvalue如果越小,尾部概率越小,落入拒绝域的可能性就会越大。

如下图:

----------------------------------------------
虽然现在很辛苦,但努力过的感觉真的很好,加油!

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