Read on to learn more about what a t-test is, the different formulas used, and when to apply each type to compare means and analyze statistical significance.

Consumers of research should not be satisfied with statements that “X is effective”, or “Y has an effect”. Gwenae l Piaser Empirical science needs data. But all data are subject to random variation, ...

Yesterday’s article by Geoff Cumming, based on a very recent Proceedings of the National Academy of Science paper, argued that “null hypothesis significance tests” (NHST) are flawed – and he is ...

I contend that there is a better way to correct the misuse of tests for statistical significance than by dispensing with them altogether (see V. Amrhein et al. Nature 567, 305–307; 2019). The ...

Many want to tighten significance testing at both ends; 3 of the 7 authors of the Button paper are also among the 72 on the Benjamin paper. Lowering the significance threshold alpha decreases FA and ...

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