Samples - 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 from which it is drawn, often because it favors certain outcomes or groups.

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What is an unbiased sample?

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An unbiased sample is one that accurately reflects the characteristics of the population, giving each individual an equal chance of being selected.

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What is a random sample?

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

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Why is a random sample important in research?

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A random sample is important because it helps to eliminate bias, ensuring that the results can be generalized to the entire population.

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What is the difference between biased and unbiased samples?

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Biased samples do not represent the population accurately, while unbiased samples do, allowing for valid conclusions.

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Example of a biased sample:

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Asking only members of a baseball team about their favorite sport.

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Example of an unbiased sample:

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Randomly selecting students from the entire school to ask about their favorite sport.

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What is sampling bias?

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Sampling bias occurs when certain members of the population are systematically more likely to be selected than others.

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How can you avoid biased sampling?

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To avoid biased sampling, use random selection methods and ensure that every member of the population has an equal chance of being included.

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What is convenience sampling?

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Convenience sampling is a non-random sampling technique where subjects are selected because of their easy availability.