It absolutely is a factor, which is why I cautioned about a uniform, random sampling. Selection bias implies non-uniformity, and 10, 100, or 1000 samples won't fix selection bias since it is, by definition, non-uniform across the intended subjects.
It's good that you question it, it should always be one of the first questions asked when looking at these sorts of statistics.
I was just pointing out that the number 35, by itself, is plenty to justify a conclusion, and because perfect uniformity is not completely possible, more tends to be better. If the conclusion is faulty, it isn't typically due to the sample size of 35 being too low.
It's good that you question it, it should always be one of the first questions asked when looking at these sorts of statistics.
I was just pointing out that the number 35, by itself, is plenty to justify a conclusion, and because perfect uniformity is not completely possible, more tends to be better. If the conclusion is faulty, it isn't typically due to the sample size of 35 being too low.