With systematic sampling one divides the population into subgroups and chooses the test subject randomly from a number of randomly chosen subgroups.
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Q11: If a sample is subdivided into subsamples,a
Q12: Non-probability sampling leads to findings that are
Q13: From statistical considerations the preference is given
Q14: Cluster sampling is the least representative probability
Q15: Based on the desired accuracy and reliability
Q17: If a sample is subdivided into subsamples,a
Q18: Snowball sampling and Quota sampling are both
Q19: As a rule,probability sampling leads to a
Q20: Stratified sampling and cluster sampling are examples
Q21: A researcher wants to investigate the relationships
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