Populations and Sampling

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What is a population in statistics?

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A population is the entire group of individuals or items that we want to learn about.

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What is a sample in statistics?

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A sample is a subset of the population that is selected for the purpose of conducting a survey or study.

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Why is random sampling important?

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Random sampling helps to ensure that every individual in the population has an equal chance of being selected, reducing bias.

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What is bias in sampling?

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Bias occurs when certain members of the population are more likely to be selected than others, leading to inaccurate 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 taken from the population, while the population includes all individuals or items of interest.

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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 people.

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What does it mean to identify the sample in a study?

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Identifying the sample means determining which specific individuals or items were selected from the population for the study.

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What is a representative sample?

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

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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 make informed decisions.

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What is a convenience sample?

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A convenience sample is a type of non-random sampling where individuals are selected based on their easy availability.