Front

What is Stratified Sampling?

Back

A sampling method where the population is divided into subgroups (strata) and random samples are taken from each stratum.

Tags

CCSS.HSS.IC.B.3

Front

What is Simple Random Sampling?

Back

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

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CCSS.HSS.IC.B.3

Front

What is a Census?

Back

A method of collecting data from every member of a population.

Tags

CCSS.6.SP.B.5B

Front

What is Systematic Sampling?

Back

A sampling method where members of the population are selected at regular intervals.

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CCSS.HSS.IC.B.3

Front

What is Cluster Sampling?

Back

A sampling method where the population is divided into clusters, and entire clusters are randomly selected.

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CCSS.HSS.IC.B.3

Front

What is Convenience Sampling?

Back

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

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What is the difference between Stratified and Systematic Sampling?

Back

Stratified sampling involves dividing the population into strata and sampling from each, while systematic sampling involves selecting every nth member from a list.

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When would you use Cluster Sampling?

Back

When the population is large and geographically dispersed, making it impractical to conduct a simple random sample.

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CCSS.HSS.IC.B.3

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What is the main advantage of Simple Random Sampling?

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It minimizes bias and ensures that every individual has an equal chance of being selected.

Tags

CCSS.HSS.IC.B.3

Front

What is a potential disadvantage of Convenience Sampling?

Back

It may not accurately represent the population, leading to biased results.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1