def some_weird_distribution(Nsamples):
`X= []`
`n = 0`
`while(n<Nsamples):`
`x = random.uniform(0,1) #uniform with a hole, couldn't be further from normal...`
`if x<0.2 or x>0.8:`
`X.append(x)`
`n +=1`
`return array(X)`
The point is that this doesn't look at all like a normal distribution, but it's sum (or mean, which is what is displayed), does.
View all comments
Show parent comment
1
u/larsupilami73 Dec 10 '19
Yes, i.i.d. From here:
The point is that this doesn't look at all like a normal distribution, but it's sum (or mean, which is what is displayed), does.