Sampling Techniques

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What is a Cluster Sample?

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A sampling technique where the population is divided into clusters (groups), and a whole cluster is randomly selected to represent the population.

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CCSS.HSS.IC.B.3

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What is a Simple Random Sample?

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A sampling method where every member of the population has an equal chance of being selected.

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CCSS.HSS.IC.A.1

CCSS.7.SP.A.1

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What is a Stratified Random Sample?

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A sampling technique that involves dividing the population into subgroups (strata) and randomly selecting samples from each stratum.

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CCSS.HSS.IC.B.3

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What is a Convenience Sample?

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A non-random sampling method where samples are taken from a group that is easily accessible.

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CCSS.HSS.IC.A.1

CCSS.7.SP.A.1

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What is Systematic Sampling?

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A sampling method where you select every nth member from a list of the population.

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CCSS.HSS.IC.B.3

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What is the importance of a representative sample?

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A representative sample accurately reflects the characteristics of the population, leading to valid conclusions.

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CCSS.HSS.IC.A.1

CCSS.7.SP.A.1

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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.

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What is sampling bias?

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Sampling bias occurs when certain members of the population are systematically excluded from the sample, leading to unrepresentative results.

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CCSS.HSS.IC.A.1

CCSS.7.SP.A.1

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What is the purpose of using sampling techniques?

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Sampling techniques are used to gather data from a subset of a population to make inferences about the entire population.

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CCSS.HSS.IC.A.1

CCSS.7.SP.A.1

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True or False: All samples lead to a good prediction about an entire population.

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False. Not all samples are representative, which can lead to inaccurate predictions.

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CCSS.HSS.IC.A.1

CCSS.7.SP.A.1