A sampling distribution of the means is a probability distribution consisting of a list of all possible sample means of a given sample size selected from a population and the probability of occurrence associated with each sample mean.
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Q1: In stratified random sampling,a population is divided
Q3: The standard error of the mean is
Q7: The central limit theorem implies that for
Q10: In stratified random sampling,a population is divided
Q11: If a population is not normally distributed,the
Q13: The central limit theorem implies that for
Q14: When using systematic random sampling,the sampling error
Q14: We can expect some difference between sample
Q15: For a simple random sample,each item in
Q17: When cluster sampling is used,the central limit
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