Representative Sampling

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What is representative sampling?

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Representative sampling is a method of selecting a subset of individuals from a larger population in such a way that the sample accurately reflects the characteristics of the whole population.

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Why is it important for a sample to be representative?

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A representative sample ensures that the results of a survey or study can be generalized to the entire population, leading to more accurate conclusions.

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What is a biased sample?

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A biased sample is one that does not accurately reflect the characteristics of the population, often due to the method of selection.

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What is a random sample?

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A random sample is a subset of individuals chosen from a larger population in such a way that every individual has an equal chance of being selected.

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How can surveying every 10th person lead to bias?

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Surveying every 10th person may miss certain groups or characteristics, leading to a sample that does not represent the entire population.

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

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A random sample is selected without any systematic bias, while a biased sample is influenced by factors that skew the results.

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What does it mean to pull a sample without looking?

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Pulling a sample without looking means selecting individuals or items at random, ensuring that each has an equal chance of being chosen.

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Why might surveying the first 7 celebrities be biased?

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Surveying the first 7 celebrities may be biased because it only includes those who arrived early, potentially missing others who could provide different perspectives.

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What is the significance of selecting essays randomly from each student?

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Selecting essays randomly from each student helps ensure that the sample represents the diversity of ideas and writing styles in the class.

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What is a population in the context of sampling?

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A population is the entire group of individuals or items that a researcher is interested in studying.