It’s a very non-representative, very small sample. The error bars in the statistical inference to the whole population includes both “very common” and “one-in-a-million”.
I think if anything they would be biased towards having fewer allergies than normal people. Which suggests that 0.21% (1 in 500) is a reasonable bound for how rare a moon dust allergy could be.
Never really verified it but I think allergies are more common in developed countries. If that’s true, that the data is skewed in the opposite direction
Not every error bar represents a Gaussian, if for no other reason that most error bars aren’t symmetric.
The error bars for small sample size relative to population size are Gaussian.
Error due to a non-representative sample can have a variety of shapes, but their distribution might also be unknown. We do frequently, almost implicitly, assume unknown distributions to be Gaussian, but we should recognize that’s not necessarily a true fact about the universe.
It’s a very non-representative, very small sample. The error bars in the statistical inference to the whole population includes both “very common” and “one-in-a-million”.
Assuming a representative sample, the best point estimate is 1/12 (8.33%), and the 95% confidence interval is 0.21% to 39%.
Longer explanation here: https://lemmy.zip/comment/19753854
That’s the thing I doubt a team of highly skilled astronauts will be representative of the human population
I think if anything they would be biased towards having fewer allergies than normal people. Which suggests that 0.21% (1 in 500) is a reasonable bound for how rare a moon dust allergy could be.
Never really verified it but I think allergies are more common in developed countries. If that’s true, that the data is skewed in the opposite direction
Probably more commonly identified
What do the bar represent in 3d space?
What do they represent in 3d space?!? (aggressiveduck.jpg)
Gaussian distributions.
Not every error bar represents a Gaussian, if for no other reason that most error bars aren’t symmetric.
The error bars for small sample size relative to population size are Gaussian.
Error due to a non-representative sample can have a variety of shapes, but their distribution might also be unknown. We do frequently, almost implicitly, assume unknown distributions to be Gaussian, but we should recognize that’s not necessarily a true fact about the universe.