Biased vs Unbiased

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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, leading to skewed results. For example, asking only members of a sports team about their favorite sport.

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What is an unbiased sample?

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An unbiased sample is one that accurately represents the population, giving each individual an equal chance of being selected. For example, randomly selecting students from a school.

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What is a random sample?

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A random sample is a sample in which each individual or object in the entire population has an equal chance of being selected.

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Why is it important to have an unbiased sample?

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An unbiased sample is crucial for obtaining valid and reliable results that reflect the true opinions or characteristics of the entire population.

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What is sampling bias?

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Sampling bias occurs when certain members of a population are systematically more likely to be selected for a sample than others, leading to inaccurate conclusions.

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How can you avoid bias in surveys?

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To avoid bias in surveys, use random sampling methods, ensure a diverse participant pool, and avoid leading questions.

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What is the difference between a population and a sample?

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A population is the entire group being studied, while a sample is a subset of that population used to gather data.

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What is a convenience sample?

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A convenience sample is a type of non-random sampling where participants are selected based on their easy availability, which can lead to bias.

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What is a stratified sample?

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A stratified sample is a sampling method that involves dividing the population into subgroups and randomly selecting samples from each subgroup.

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What is the purpose of a survey?

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