What are some common errors in sampling?
An example of an AI chatbot conversation about common sampling errors.
What are some common errors in sampling?
Common errors in sampling include selection bias, non-response bias, and undercoverage.
Can you explain selection bias?
Selection bias occurs when the sample is not representative of the population, leading to skewed results.
What is non-response bias?
Non-response bias happens when certain individuals do not respond, which can affect the validity of the results.
How can I avoid these errors in my research?
To avoid these errors, ensure random sampling, follow up with non-respondents, and use stratified sampling techniques.
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