The difference between the point estimate and the true value of the population parameter being estimated is called the estimation error.
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Q2: In stratified sampling with proportional sample sizes,the
Q3: Cluster sampling is often less convenient and
Q4: When we sample less than 5% of
Q5: Systematic sampling is generally similar to simple
Q6: A probability sample is a sample in
Q8: The finite population correction factor is a
Q9: Simple random sampling can result in under-representation
Q10: The standard error of sample mean
Q11: In stratified sampling,the population is divided into
Q12: One obvious advantage of stratified sampling is
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