[QUOTE=Blake]
They didn’t, in actual fact the exact opposite is true: all other factors being equal males stole less than one quarter as often as females.
The apparent sex descrepancy has nothing to do with gender and is entirely attributable to age. A classic case of assuming statistical significance when even a cursory glance would tell you that none exists. Results are strongly skewed by age, and there are more almost twice as many Young Males as Young Females .
Age ratio (F:M) (Old VS Young) 39O:12Y vs 27O:22Y or 3.25F : 1.22M
Age honesty ratio (young vs not young) 19:15Y vs 55:11O or 1.3Y : 5O
So if age ratios were maintained independent of sex we’d predict an honesty ratio equivalent of 3.25F : 0.24M = 13.54
Observed sex honesty ratio (F:M) 86:14F vs 61:39M or 6.1F : 1.6M = 0.28
If all other factors were equal we would have expected less than 12 men to be honest simply because of the age discrepancy. Instead we find a whopping 39 men were honest.
The way people interpret this study and the way the researchers have presented their results would make a good subject for an introductory stats class. Beware your assumptions and control for variables.
[/QUOTE]
Nonsense; absolute nonsense.
I would expect everyone to be honest. Pretending, on the basis of statistical reasoning that age should change that expectation and therefore “we would have expected fewer than 12 men to be honest simply because of the age discrepancy…” is hysterically funny to me.
But your post is a good example of statistically distorting common sense, and it’s a good example of why any good statistician can put any spin needed on what is otherwise obvious.
It’s a silly study, with uncontrolled variables, tiny numbers, etc etc. But one thing it does not show is that three times as many many as expected were honest unless it is a statistician creating the expectation by choosing, a priori, youth as the baseline standard to make the rest of a group look good.