Random Sampling

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What is random sampling?

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Random sampling is a technique used to select a subset of individuals from a larger population, where each individual has an equal chance of being chosen.

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CCSS.HSS.IC.B.3

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Why is random sampling important?

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Random sampling is important because it helps ensure that the sample is representative of the population, reducing bias and allowing for more accurate conclusions.

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CCSS.HSS.IC.B.3

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What is a biased sample?

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A biased sample is one that does not accurately represent the population from which it is drawn, often due to non-random selection methods.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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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 characteristics of the larger group.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What is systematic sampling?

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Systematic sampling is a method where you select every nth individual from a list or sequence, which can introduce bias if there is a pattern in the population.

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CCSS.HSS.IC.B.3

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What is convenience sampling?

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Convenience sampling is a non-random sampling method where individuals are selected based on their easy availability, which can lead to biased results.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What is stratified sampling?

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

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CCSS.HSS.IC.B.3

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What is the difference between qualitative and quantitative data?

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Qualitative data describes characteristics or qualities (e.g., colors, names), while quantitative data involves numerical values (e.g., height, age).

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What is the purpose of polling in research?

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Polling is used to gather information or opinions from a sample of individuals to make inferences about the larger population.

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What does it mean for a sample to be large enough?

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A sample is considered large enough if it provides sufficient data to make reliable estimates about the population, reducing the margin of error.

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CCSS.HSS.IC.B.4