UNIT 1 TYPES OF SAMPLING METHODS

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What is a systematic sampling method?

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A systematic sampling method involves selecting every nth individual from a list of the population after a random starting point.

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Define population in the context of sampling.

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A population is the entire group of individuals or instances about whom we hope to learn.

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What is a sample in research?

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A sample is a subset of the population selected for the purpose of conducting a study.

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What is a cluster sample?

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A cluster sample is a sampling method where the population is divided into groups (clusters), and entire clusters are randomly selected.

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What distinguishes a statistical question from a non-statistical question?

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A statistical question anticipates variability in the data and can be answered by collecting data, while a non-statistical question has a fixed answer.

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What is simple random sampling?

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Simple random sampling is a method where every individual in the population has an equal chance of being selected.

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Explain stratified sampling method.

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Stratified sampling involves dividing the population into subgroups (strata) and randomly sampling from each stratum.

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What is voluntary-response sampling?

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Voluntary-response sampling is a method where individuals choose to participate in the survey, often leading to bias.

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What is bias in sampling?

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Bias refers to systematic errors that lead to an inaccurate representation of the population.

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What is the purpose of sampling in research?

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The purpose of sampling is to gather data and make inferences about a population without surveying every individual.