I not sure t-tests are the best approach to take compared to something non-parametric, given smallish sample, considerable skew, etc. (this paper’s statistical methods section is pretty handy). Nonetheless I’m confident the considerable effect size (in relative terms, almost a doubling) is not an artefact of statistical technique: when I plugged the numbers into a chi-squared calculator I got P < 0.001, and I’m confident a permutation technique or similar would find much the same.
I not sure t-tests are the best approach to take compared to something non-parametric, given smallish sample, considerable skew, etc. (this paper’s statistical methods section is pretty handy). Nonetheless I’m confident the considerable effect size (in relative terms, almost a doubling) is not an artefact of statistical technique: when I plugged the numbers into a chi-squared calculator I got P < 0.001, and I’m confident a permutation technique or similar would find much the same.