
Originally Posted by
Kenji

Originally Posted by
ambutter
If I flipped a quarter 10 times, and it came up heads 6/10 times... then I flipped a dime 10 times, and it came up heads 4/10 times... can I clearly conclude, based on my tests, that a quarter is more likely to come up heads than a dime is?
No, because you're using a bad analogy. A better one would be that you're taking two coins and flipping them. And one coin always comes up heads, while the other always comes up tails. You don't need to have a phd to realize that you have an interesting scenario here.
@Nekio
I was gonna shoot you down, but more than a few people already did. Current testing has shown Para II to be vastly better than Para I. If you disagree, then the onus is on you to conduct testing that shows otherwise. You remind me of an armchair statistician, spouting out the big words he learned in class, without really trying to grasp why some of them don't apply here.
Lol t-test.
/sigh... not trying to get into an e-pissing match... but it seems you're missing the point. My analogy was meant to point out the necessity for a reasonable number of tests to prove something statistically. Ten is
not a reasonable number.
To your second point... I'm not under the impression that Nekio thinks Para II isn't "vastly better" than Para I, only that such a small number of tests isn't sufficient to say that anything is definitively true or false. You can argue all you want, but no statistician, nor anyone that has a sound understanding of statistics, will agree that the results from the OP offer any
statistically definitive conclusions.
Is Para II better than Para I? Of course it is. No one is arguing that Para I is superior. No one will argue with you if you say that Para II is better than Para I. Some are merely pointing out that the small data set presented isn't enough to statistically back up that claim.