When systematic random sampling is used,the central limit theorem cannot be applied.
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Q1: In stratified random sampling,a population is divided
Q2: The items or individuals of the population
Q3: The standard error of the mean is
Q5: A simple random sample assumes that each
Q6: It is often not feasible to study
Q7: If the size of a sample equals
Q7: The central limit theorem implies that for
Q10: Sampling a population is often necessary because
Q10: In stratified random sampling,a population is divided
Q11: If a population is not normally distributed,the
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