Sampling Methods

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What is Systematic Sampling?

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A sampling method where every nth individual is selected from a list or sequence. Example: Every fifth person boarding a plane is searched.

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What is Stratified Sampling?

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A sampling method where the population is divided into subgroups (strata) and random samples are taken from each stratum. Example: Sampling 100 buyers from each car brand in a list of new car buyers.

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What is Voluntary Sampling?

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A sampling method where individuals choose to participate in the survey or study. Example: A radio station asks listeners to call in their opinions.

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What is Random Sampling?

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A sampling method where every individual has an equal chance of being selected. Example: Picking names from a bag of contestants.

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What is Convenience Sampling?

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A sampling method where samples are taken from a group that is easily accessible. Example: Surveying people in a mall.

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What is Cluster Sampling?

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A sampling method where the population is divided into clusters, and entire clusters are randomly selected. Example: Randomly selecting entire classrooms from a school.

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What is the purpose of Sampling Methods?

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To select a subset of individuals from a population to estimate characteristics of the whole population.

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What is the difference between Random and Systematic Sampling?

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Random sampling gives each individual an equal chance of selection, while systematic sampling selects individuals at regular intervals.

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What is the importance of Stratified Sampling?

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It ensures that specific subgroups are adequately represented in the sample, improving the accuracy of results.

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What are the advantages of Random Sampling?

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It reduces bias and allows for generalization of results to the larger population.