Sampling Method

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What is a Simple Random Sample (SRS)?

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A sampling method where every member of the population has an equal chance of being selected.

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What is a Stratified Sample (STR)?

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A sampling method that divides the population into subgroups (strata) and then takes a random sample from each subgroup.

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What is a Cluster Sample (CLS)?

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A sampling method that involves dividing the population into clusters (groups) and then randomly selecting entire clusters to sample.

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What is a Systematic Sample (SYS)?

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A sampling method where members are selected at regular intervals from an ordered list.

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What is a Convenience Sample (CON)?

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A sampling method that selects individuals who are easiest to reach or sample.

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How does SRS differ from STR?

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SRS selects individuals randomly from the entire population, while STR involves dividing the population into strata and sampling from each.

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What is the main advantage of using a Stratified Sample?

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It ensures that all subgroups of the population are represented in the sample.

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When is a Cluster Sample most useful?

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When the population is large and spread out, making it impractical to conduct a simple random sample.

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What is the formula for determining sample size in SRS?

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n = (Z^2 * p * (1-p)) / E^2, where Z is the Z-score, p is the estimated proportion, and E is the margin of error.

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What is the main disadvantage of Convenience Sampling?

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It may not accurately represent the population, leading to biased results.