What is sampling bias in surveys?
Sampling bias occurs when the sample selected for a survey does not accurately represent the population, leading to skewed results.
Can you give me an example of sampling bias?
Sure! If a survey about public transportation only includes responses from people in urban areas, it may not reflect the views of those in rural areas.
How can we avoid sampling bias?
To avoid sampling bias, ensure that your sample is randomly selected and representative of the entire population you want to study.
What are the consequences of sampling bias?
Consequences include inaccurate conclusions, misinformed decisions, and a lack of credibility in the research findings.
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