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This is the clearest answer I've read so far. The p-value is the minimum probability of ending up with a test statistic that lies in the rejection region (for a
by vbs_redlof 13y ago
This is the clearest answer I've read so far. The p-value is the minimum probability of ending up with a test statistic that lies in the rejection region (for a given null hypothesis and critical value).
- Paradigma11 13y agoNo, that is alpha: http://statistics.about.com/od/Inferential-Statistics/a/What-Is-The-Difference-Between-Alpha-And-P-Values.htm http://statistics.about.com/od/Inferential-Statistics/a/What...
- vbs_redlof 13y agoPlease re-read onetwofiveten's explanation. All I've done is paraphrase it. Alpha is just an arbitrary cutoff p-value corresponding to a threshold t-value for a given null hypothesis.