search for: version_3

...hether the increase is statistically significant. I used one-tailed chi square tests for this. Here's the data I got: Test set 1: total incorrect correct p baseline 1908 1718 190 version_1 1908 1698 210 0,145 version_2 1908 1690 218 0,071 version_3 1908 1677 231 0,017 I compared every version with the baseline, so that I get something like a 2x2 contingency table, as here: incorrect correct baseline 1718 190 version_1 1698 210 p: 0,145 This works fine, the results seem to make sense...

...00% sure you are meant to do that with p-values but I'll let someone else comment on that!. total incorrect correct % correct baseline 898 708 190 21.2% version_1 898 688 210 23.4% version_2 898 680 218 24.3% version_3 1021 790 231 22.6% > > Here, the p value for version_3 (when compared with the baseline) seems to > make no sense whatsoever. It shouldn't be larger that the other two p > values, the increase in correct answers (that is what counts!) is bigger > after all. &g...