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 systematic favoritism in the selection process.

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CCSS.HSS.IC.A.1

CCSS.7.SP.A.1

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What is the difference between a random sample and a convenience sample?

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A random sample is selected using a method that gives all individuals an equal chance of being chosen, while a convenience sample is selected based on ease of access.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What is stratified sampling?

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

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CCSS.HSS.IC.B.3

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What is systematic sampling?

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Systematic sampling involves selecting every nth individual from a list or sequence, starting from a random point.

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CCSS.HSS.IC.B.3

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What is a population in statistics?

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A population is the entire group of individuals or instances about whom we hope to learn.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What is a sample in statistics?

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A sample is a subset of individuals selected from a population, used to make inferences about the population.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What does it mean for a sample to be representative?

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A sample is representative if it accurately reflects the characteristics of the population from which it is drawn.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What is the purpose of conducting surveys?

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The purpose of conducting surveys is to gather information and insights from a group of individuals to understand opinions, behaviors, or characteristics.