Data Analysis

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Last updated 10:16 AM on 4/14/26
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4 Terms

1
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Simple Random Sampling

  • Advantage: Every member has an equal chance → reduces bias.

  • Disadvantage: Can be time-consuming and requires a full list of the population.

2
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Systematic Sampling

  • Advantage: Easy and quick to implement.

  • Disadvantage: Can be biased if there is a hidden pattern in the data.

3
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Stratified Sampling

  • Advantage: Ensures all subgroups are represented → more accurate.

  • Disadvantage: Requires detailed knowledge of the population.

4
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Cluster Sampling

  • Advantage: Cost-effective and practical for large populations.

  • Disadvantage: Less accurate if clusters are not representative.