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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 it important for a sample to be representative?

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A representative sample accurately reflects the characteristics of the larger population, allowing for valid conclusions to be drawn from the data.

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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 one that does not accurately represent the population, often due to the method of selection.

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CCSS.7.SP.A.1

CCSS.HSS.IC.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 involves dividing the population into subgroups (strata) and randomly selecting samples from each stratum.

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CCSS.HSS.IC.B.3

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What is the purpose of using random sampling in surveys?

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The purpose is to minimize bias and ensure that the sample reflects the diversity of the population.

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CCSS.HSS.IC.B.3

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What does it mean if a sample is too small?

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A sample that is too small may not accurately represent the population, leading to unreliable results.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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How can you determine if a sample is random?

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A sample is random if every individual in the population had an equal chance of being selected, often verified through random selection methods.

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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 of the population.

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CCSS.HSS.IC.B.3

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What is the significance of sample size in random sampling?

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Larger sample sizes generally lead to more reliable and valid results, reducing the margin of error.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1