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by n8henrie
550 days ago
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Not at all. Type II error is routinely the result of methodological flaws like insufficient sample size. It would be asinine to study the effects of parachutes on survivability of jumping from airplanes, hypothesizing that they would help, but conclude that the "conjecture must be wrong" because the sample size was 2 and it failed to reach statistical significance, or because the airplane was on the ground. Would you feel differently if the study period was only 1 day instead of 25? Or maybe 1 hour? Would it then be reasonable for them to speculate that the methodology might contribute to the failure to reject the null hypothesis? |
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