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The P value is a parameter used to determine the results of hypothesis testing, and the rejection domains of the distributions can also be used for comparison based on different distributions. First proposed by R.A. Fisher.
- p-value means
- R.A. Fisher (1890-1962) as a generation
- In order to understand the calculation process of the P value, Z is the test statistic and ZC is the test statistic value calculated from the sample data. [3]
- Left test
- P value is when
- Right test
- The P value is the probability that the test statistic is greater than or equal to the test statistic value calculated from the actual observed sample data when = 0, that is, the p value
- Two-sided test
- The P value is the probability that the test statistic is greater than or equal to the test statistic value calculated from the actual observed sample data when = 0, that is, the p value