Populations and Sampling

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What is a sample in statistics?

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

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What is a population in statistics?

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A population is the entire group of individuals or objects that is the subject of a statistical study.

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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 in the results.

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What is bias in sampling?

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Bias in sampling occurs when certain members of the population are more likely to be selected than others, leading to unrepresentative results.

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What is the difference between a sample and a population?

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A sample is a smaller group selected from a population, while a population includes all members of the group being studied.

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What is a survey?

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A survey is a method of collecting data by asking questions to a group of individuals.

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What does it mean to have a non-biased sample?

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A non-biased sample is one that accurately represents the population, ensuring that all members have an equal chance of being selected.

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What is the purpose of conducting a survey?

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The purpose of conducting a survey is to gather information and opinions from a group to understand trends, preferences, or behaviors.

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How can you ensure your survey results are valid?

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To ensure survey results are valid, use random sampling, ask clear and unbiased questions, and survey a sufficient number of participants.

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What is a stratified sample?

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