Population Sampling and Biased

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What is population sampling?

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Population sampling is the process of selecting a subset of individuals from a larger population to estimate characteristics of the whole population.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What is a biased sample?

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A biased sample is a sample that does not accurately represent the population from which it is drawn, leading to skewed results.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What is an unbiased sample?

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An unbiased sample is one in which every member of the population has an equal chance of being selected, ensuring accurate representation.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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Why is random selection important in sampling?

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Random selection is important because it helps eliminate bias, ensuring that the sample accurately reflects the population.

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CCSS.HSS.IC.B.3

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What is the difference between a sample and a population?

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A sample is a smaller group selected from a population, which is the entire group of individuals being studied.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What does it mean to survey a sample?

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To survey a sample means to collect data or opinions from a selected group to draw conclusions about the larger population.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What is convenience sampling?

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Convenience sampling is a non-random sampling technique where individuals are selected based on their easy availability and proximity.

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CCSS.HSS.IC.B.3

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What is systematic sampling?

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Systematic sampling is a method where every nth individual is selected from a list or queue, often used for its simplicity.

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CCSS.HSS.IC.B.3

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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 purpose of sampling in research?

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The purpose of sampling is to gather data that can be used to make inferences about a larger population without surveying everyone.