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Simple Random Sample (SRS)
Advantages: Unbiased, Easy
Disadvantages: Large variance, May not be representative of the entire population, Sampling frame (List of the population) required
Stratified Random Sample
Advantages: More precise unbiased estimator than SRS, Less variability, Cost reduced (If the data already exists)
Disadvantages: Difficult to do if you have to separate into groups yourself, Formulas more complicated, Sampling frame required
Systematic Random Sample
Advantages: Unbiased, Ensured even distribution, More efficient and cheaper
Disadvantages: Large variance, Formulas complicated
Cluster Sample
Advantages: Unbiased, Cheaper, Sampling frame not required
Disadvantages: Cluster may not be representative, Formulas complicated