Statistical Studies and Sampling Methods

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What is volunteer bias?

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Volunteer bias occurs when individuals who choose to participate in a study differ significantly from those who do not, potentially skewing the results.

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CCSS.HSS.IC.B.3

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How does volunteer bias impact study results?

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It can lead to biased results that do not accurately reflect the general population, as volunteers may have different characteristics or motivations.

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CCSS.HSS.IC.B.3

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What is random sampling?

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Random sampling is the method of selecting a sample from a larger population where every 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 in statistical studies?

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It ensures that the sample is representative of the population, leading to more accurate and reliable results.

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CCSS.HSS.IC.B.3

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What is the difference between simple random sampling and stratified random sampling?

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Simple random sampling does not divide the population into subgroups, while stratified random sampling does, ensuring representation from each subgroup.

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CCSS.HSS.IC.B.3

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What is self-selection bias?

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Self-selection bias occurs when individuals choose to participate in a study based on their own characteristics, leading to a non-representative sample.

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CCSS.HSS.IC.B.3

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Provide an example of self-selection bias.

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In a survey about exercise habits, only individuals interested in fitness may participate, resulting in an overrepresentation of active individuals.

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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 to form a sample.

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CCSS.HSS.IC.B.3

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How can systematic sampling be applied in a study?

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By selecting every 10th person from a list of customers to gather feedback on a product.

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CCSS.HSS.IC.B.3

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What is stratified random sampling?

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Stratified random sampling involves dividing the population into subgroups and randomly selecting samples from each subgroup.

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CCSS.HSS.IC.B.3