Sampling Bias

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What is Sampling Bias?

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Sampling Bias occurs when the sample collected is not representative of the population, leading to skewed results.

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What is Response Bias?

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Response Bias is a type of bias that occurs when respondents provide inaccurate answers due to misunderstanding, misinterpretation, or social desirability.

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What is Nonresponse Bias?

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Nonresponse Bias occurs when certain individuals selected for the sample do not respond, which can lead to an unrepresentative sample.

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Example of Sampling Bias:

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Surveying only the youngest students in a school to understand the opinions of all students.

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Example of Response Bias:

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A survey question that leads respondents to favor a particular answer, such as asking about favorite foods with limited options.

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Example of Nonresponse Bias:

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Mailing surveys to customers but receiving responses only from a small, specific group.

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How can Sampling Bias affect research outcomes?

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It can lead to incorrect conclusions and misinterpretations of the data, affecting decision-making.

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What is a common cause of Response Bias?

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Leading questions or the desire to provide socially acceptable answers.

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How can Nonresponse Bias be minimized?

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By following up with non-respondents and ensuring a diverse sample is selected.

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What is the impact of Sampling Bias on public opinion polls?

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It can distort the perceived opinions of the general population, leading to inaccurate predictions.