Power of the test, p-values, publication bias and statistical evidence
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Uploaded by statisticsblog on Feb 8, 2011
A discussion of statistical evidence and why you might not get results significant enough to reject your null hypothesis even if your alternative hypothesis is correct.
This video is related to the article "Statistics notes: Absence of evidence is not evidence of absence" by Douglas G. Altman and J. Martin Bland. Video created by Matt Asher. For more statistical insights please visit statisticsblog.com
- 34 likes, 1 dislikes
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1:45 ...... hahaha
msumjo12 3 weeks ago
My favorite comment is "there is nothing special about 0.05..."
TheGrayIntellectual 1 month ago
Great video addressing that the absence of evidence does not mean evidence of absence.
TheGrayIntellectual 1 month ago
I hate when I don't get significant results, now i feel better
elchavodelocio 3 months ago
Excellent video! The people who strongly support/ask to take the James Randi's One Million Dollar Challenge seriously need to see this educational video, so they can understand why the tests involve in statistical apllications is corrupted by double-standards such as P=0.001 & 0.000001 & why the claimants' claims are completely dependent on the alpha level. Furthermore, they also need to understand that studies that show an effect, but really small, need more statistical power to detect them..
IceAges14Aces 4 months ago
Oh man! We gotta talk. I have been looking for the pee value FOREVER (maximum power of the test). Now I realize it's been running down my leg. But there is nothing I can do!
This is definetly a significant finding
Vankoconut 5 months ago
LOL
kauboibiboppu 7 months ago
I love that.
fist931 7 months ago
Great video
Mcbusted4 11 months ago