Unit 3 Review - Data Gathering

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What is a representative sample?

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A representative sample is a subset of a population that accurately reflects the members of the entire population.

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What is stratified sampling?

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Stratified sampling is a method of sampling that involves dividing a population into subgroups (strata) and then taking a random sample from each stratum.

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What is cluster sampling?

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Cluster sampling is a sampling technique where the population is divided into clusters, and entire clusters are randomly selected.

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What is simple random sampling?

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

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What is systematic sampling?

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Systematic sampling is a method where you select every nth member of the population after a random starting point.

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What is the purpose of a double-blind experiment?

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The purpose of a double-blind experiment is to eliminate bias by ensuring that neither the participants nor the researchers know who is receiving the treatment.

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What is bias in sampling?

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Bias in sampling occurs when certain members of the population are more likely to be selected than others, leading to an unrepresentative sample.

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What is the placebo effect?

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The placebo effect is a phenomenon where participants experience a perceived improvement in their condition due to believing they are receiving treatment, even if it is inactive.

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Why is random selection important in sampling?

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Random selection is important because it helps ensure that the sample is representative of the population, reducing bias.

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What is the difference between qualitative and quantitative data?

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Qualitative data describes characteristics or qualities, while quantitative data involves numerical measurements.