Trained scientists know this—except when we don't, which is often! When trying to make a talk/paper/client deadline, our default interpretation is to the common, colloquial one (significance = importance), not the statistical one (significance = evidence).
1,693 followers
276 followers
@12Xpert "Not distinguishing between statistical and practical significance is that statistically non-significant results are interpreted as evidence of no effect, as ‘no difference between means’, or as ‘no relationship between variables’. https://t.co/Lt
74 followers
RT @GeorgeShiber: The #Significance Fallacy in Inferential #Statistics https://t.co/5s7mpv4lqI #Philosophy #Science via @Paperity
37,224 followers
The #Significance Fallacy in Inferential #Statistics https://t.co/5s7mpv4lqI #Philosophy #Science via @Paperity