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When the population is finite, the ideal sampling method is :

  • A.Systematic Sampling
  • B.Cluster Sampling
  • C.Snowball Sampling
  • D.Stratified Sampling

Answer: A

The key takes systematic sampling as the ideal method for a finite population.

Systematic sampling needs a complete list of a finite population: the researcher divides the population size by the sample size to get an interval k, picks a random start and then takes every k-th unit. It is simple, spreads the sample evenly over the list, and is standard for finite, listed populations.

Cluster sampling is used when a population is large and spread out and no full list exists, and snowball sampling is used for hidden populations reached through referrals. Stratified sampling is chosen when the population has distinct subgroups, not because it is finite.

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