|
|
|
|
|
by ronaldx
4596 days ago
|
|
Cool point and I agree. The sample has to represent the population, that's fundamental. If the sample is so small that it can't characterise the population distribution, then you have a problem anyway. If you're measuring a events that happen 1% of the time (or 99% of the time), a sample of 100 is not nearly enough. If you chose an appropriate non-parametric test to cover an unknown distribution with a small sample, it maybe would have zero power (impossible to give a significant result) |
|