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If the difference between samples is VERY large, you don't need a very large sample size. In other words, we're trying to find the chance that the result we go
by iopq 10y ago
If the difference between samples is VERY large, you don't need a very large sample size.
In other words, we're trying to find the chance that the result we got was due to chance. Let's say you have numbers like these:
A: 11, 11, 12, 12, 13, 13, 13, 13, 13, 13, 14, 15
B: 90, 92, 93, 94, 94, 95, 95, 96, 97, 99, 99, 101, 101
What is the chance that those two samples come from the same distribution?
On the other hand, if A averaged something like 12.5 and B averaged something like 12.4 it would require a huge sample size to prove that those two samples come from two different distributions.
- dredmorbius 10y agoThat sounds intuitively reasonable. Is there a cononical reference argument that you're aware of?
- iopq 10y agoI'm really talking about https://en.wikipedia.org/wiki/P-value https://en.wikipedia.org/wiki/P-value Most people just look at the number of subjects in a study, but not the p-values
- dredmorbius 10y agoThanks.
- GFK_of_xmaspast 10y agoSee also "statistical power" : https://en.wikipedia.org/wiki/Statistical_power https://en.wikipedia.org/wiki/Statistical_power