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Which sample size out of a population of 1000 is most likely to lead to a valid conclusion?
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.
What are the disadvantages of non probability sampling?
It is quite likely that the sample is not representative of the population and so while statistical conclusion may be valid for the sample, they may not apply to the population.
Is a biased sample always valid?
a biased sample is valid determin
Why is it important to have a representative sample when doing surveys?
Because without representative sample, your results will not be valid.
Why would a company use a sample?
If it's too time consuming, expensive or otherwise impractical to collect data from the entire population of interest you can derive equally valid results from a random representative sample of adequate size. This saves time, money and other resources.
