Using Samples to Predict

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What is a sample in statistics?

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A sample is a subset of a population used to represent the entire group in statistical analysis.

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What does it mean for a sample to be unbiased?

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An unbiased sample accurately represents the population, allowing for valid conclusions to be drawn.

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What does it mean for a sample to be biased?

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A biased sample does not accurately represent the population, leading to skewed or invalid conclusions.

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Why is random selection important in sampling?

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Random selection helps ensure that every member of the population has an equal chance of being included, reducing bias.

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What is the difference between a population and a sample?

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A population includes all members of a specified group, while a sample is a smaller group selected from that population.

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What is convenience sampling?

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Convenience sampling involves selecting individuals who are easiest to reach, which can lead to bias.

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What is stratified sampling?

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

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What is a survey?

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A survey is a method of collecting data by asking people questions to gather information about their opinions or behaviors.

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What is the purpose of using samples in research?

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Samples are used to make inferences about a population without needing to study the entire group.

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What is a sampling error?

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A sampling error is the difference between the results obtained from a sample and the actual values in the population.