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P Values: What They are and What They are Not
| Content Provider | Semantic Scholar |
|---|---|
| Author | Schervish, Mark J. |
| Copyright Year | 1996 |
| Abstract | Abstract P values (or significance probabilities) have been used in place of hypothesis tests as a means of giving more information about the relationship between the data and the hypothesis than does a simple reject/do not reject decision. Virtually all elementary statistics texts cover the calculation of P values for one-sided and point-null hypotheses concerning the mean of a sample from a normal distribution. There is, however, a third case that is intermediate to the one-sided and point-null cases, namely the interval hypothesis, that receives no coverage in elementary texts. We show that P values are continuous functions of the hypothesis for fixed data. This allows a unified treatment of all three types of hypothesis testing problems. It also leads to the discovery that a common informal use of P values as measures of support or evidence for hypotheses has serious logical flaws. |
| Starting Page | 203 |
| Ending Page | 206 |
| Page Count | 4 |
| File Format | PDF HTM / HTML |
| DOI | 10.1080/00031305.1996.10474380 |
| Alternate Webpage(s) | https://www.apps.stat.vt.edu/leman/VTCourses/schervish-pvals.pdf |
| Alternate Webpage(s) | https://doi.org/10.1080/00031305.1996.10474380 |
| Volume Number | 50 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
