Biased and Unbiased Samples

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What is a biased sample?

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A biased sample is a group that does not accurately represent the population being studied, leading to skewed results.

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What is an unbiased sample?

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An unbiased sample is a group that accurately represents the population being studied, allowing for valid conclusions.

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Why is it important to have an unbiased sample in surveys?

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An unbiased sample ensures that the results of a survey are valid and can be generalized to the larger population.

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What can cause a sample to be biased?

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A sample can be biased due to factors like selection methods, timing, or the characteristics of the surveyed group.

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Example of a biased sample: Surveying only morning shoppers at a grocery store.

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This sample may not represent the preferences of all shoppers, as it excludes those who shop at other times.

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Example of an unbiased sample: Randomly selecting participants from a large population.

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This method gives every individual an equal chance of being chosen, leading to a more representative sample.

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What is convenience sampling?

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Convenience sampling is a method where samples are taken from a group that is easily accessible, often leading to bias.

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What is random sampling?

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Random sampling is a technique where every member of the population has an equal chance of being selected, reducing bias.

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How does surveying a specific group (like a soccer team) lead to bias?

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Surveying a specific group may not reflect the opinions of the entire population, leading to biased results.

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What is stratified sampling?

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Stratified sampling involves dividing the population into subgroups and randomly sampling from each subgroup to ensure representation.