Biased vs UnBiased practice

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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, allowing for valid conclusions to be drawn.

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Why is an unbiased sample important in research?

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An unbiased sample is crucial because it ensures that the results of the research can be generalized to the larger population.

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Example of a biased sample:

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Surveying only luxury home buyers at an open house to determine housing preferences.

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Example of an unbiased sample:

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Randomly selecting individuals from a diverse neighborhood to assess housing preferences.

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What can lead to a biased sample?

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Factors such as selection bias, non-response bias, and convenience sampling can lead to a biased sample.

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What is selection bias?

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Selection bias occurs when the individuals included in a sample are not representative of the larger population.

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What is non-response bias?

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Non-response bias happens when certain individuals chosen for a sample do not respond, skewing the results.

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How can researchers avoid biased samples?

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Researchers can use random sampling methods and ensure diverse representation in their samples.

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What is convenience sampling?

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Convenience sampling is selecting individuals who are easiest to reach, which can lead to biased results.