a biased sample is valid determin
Because without representative sample, your results will not be valid.
Providing of course that a sample is representative of the population from which it is drawn, the bigger it is the more likely it will be to lead to a valid conclusion. Therefore, the best sample size when there are no restrictions, as in this case, would be one of 1000.
Well, if your sample does not represent the larger sample, you'll certainly not get a valid result ... For example, if you're studying pregnancy and your sample includes men - The whole idea of "representative' sample is fuzzy and often gives interesting errors.
China?
at random to represent the population
Statistically the results will not be scientifically valid if the sample size is too small.
a biased sample is valid determin
observation
If you're talking about what I think you're talking about, the fact that it is not "scientifically valid" might have a lot to do with it.
Many statistical statements for a population which are based on a sample are not valid if the sample is not representative.
1) What conditions are required to form a valid large-sample confidence interval for µ?
Because without representative sample, your results will not be valid.
30 min
Providing of course that a sample is representative of the population from which it is drawn, the bigger it is the more likely it will be to lead to a valid conclusion. Therefore, the best sample size when there are no restrictions, as in this case, would be one of 1000.
statistics
No because in statistics a biased collection of data is invalid.