What is sampling bias and why is it important?
An example of an AI chatbot conversation about understanding sampling bias in research.
What is sampling bias and why is it important?
Sampling bias occurs when the sample selected for a study is not representative of the population. This can lead to inaccurate conclusions.
Can you give me an example of sampling bias?
Sure! If a survey about a new product is only sent to existing customers, it may not reflect the opinions of potential customers.
How can researchers avoid sampling bias?
Researchers can use random sampling methods, ensure diverse participant selection, and stratify samples to represent different groups.
What are the consequences of ignoring sampling bias?
Ignoring sampling bias can lead to flawed research findings, misinformed decisions, and a lack of credibility in the results.
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