researchers brought 88 pairs of undergraduate opposite-sex friends into…a science lab.
researchers brought 88 pairs of undergraduate opposite-sex friends into…a science lab.
>> Males were significantly more likely than females to list romantic attraction as a benefit of opposite-sex friendships, and this discrepancy increased as men aged—males on the younger end of the spectrum were four times more likely than females to report romantic attraction as a benefit of opposite-sex friendships, whereas those on the older end of the spectrum were ten times more likely to do the same.
From the linked paper. That's for the follow-up study.
There was a follow-up study, but it doesn't say how much, if any, of the original research was tried again.
1) zero variance in location
2) very little variance in age (all undergraduate) (variances of the ages: 1.33 to 7.19, so 70% of their samples all were in two age ranges, one 3 year wide, one 14 year wide)
3) cultural variation : essentially zero (?) they didn't even bother to check AFAICT
1: http://bleske-rechek.com/April%20Website%20Files/Bleske-Rech...
This is a non-intuitive result from statistics. The standard deviation - the average expected error - does not actually depend on the population size. It could be 7 billion or 7 hundred. The standard deviation only depends on the sample size, and is O(1/sqrt(n)).
In this case, with n=400, we have O(0.05). If we are testing a random variable with two values, then the true deviation is less than 0.5, so the expected error is 0.025 - we expect no more than 2.5% of mistake. That's very good!
(The bigger question is whether the sample is random or not.)