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Side A ------ Side B
A sample selected so that each item or person in the population has the same of being included ------ Simple Random Sample
A random starting point is selected, and then every kth member fo the population is selected. ------ Systematic Random Sample
A population is divided into subgroups ,called strata, and a sample is randomly selected from each stratum. ------ Stratified Random Sample
A population is divided into clusters using naturally occurring geographic or other boundaries. Then, clusters are randomly selected and a sample is collected by randomly selecting from each cluster ------ Cluster Sample
The difference between a sample statistic and its corresponding population parameter. ------ Sampling Error
A probability distribution of all possible sample means of given sample size. ------  Sampling Distribution of the Sample Mean