Timeline for What is the test statistic in Fisher's exact test?
Current License: CC BY-SA 3.0
5 events
| when toggle format | what | by | license | comment | |
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| Mar 31, 2014 at 3:40 | comment | added | Jeremy Miles | @rabidotter - yes, I guess I do. You see people who write "F = 14.352, df = 2, 568, p < 0.05". Pretty much the only reason anyone cares about F is to calculate P, yet they give F to massive precision, and p to very little precision. | |
| Apr 28, 2013 at 1:51 | comment | added | rabidotter | @JeremyMiles: Do you mean test statistics are historical anomalies in that prior to low-cost computing, users calculated Z, t and so on and then compared this test statistic to the pre-calculated tables to determine statistical significance, and as a result, many current users of inferential statistics still think in terms of test statistics when they could just as easily provide a p-value? In other words, is this a sort of generational effect? | |
| Apr 22, 2013 at 17:09 | comment | added | Jeremy Miles | The result of Fisher's exact test is the p-value. | |
| Apr 21, 2013 at 18:26 | comment | added | Tim | Thank, but is there really not a test statistic? How do you determine the p value then? | |
| Apr 21, 2013 at 18:24 | history | answered | Jeremy Miles | CC BY-SA 3.0 |