What is sampling bias and how can I identify it?
Sampling bias occurs when the sample collected is not representative of the population intended to be analyzed. You can identify it by checking if certain groups are overrepresented or underrepresented in your sample.
Can you give me an example of sampling bias?
Sure! If a survey about smartphone usage only includes responses from a tech-savvy community, it may not reflect the general population's usage.
How can I avoid sampling bias in my research?
To avoid sampling bias, ensure your sample is randomly selected and includes diverse groups that represent the entire population.
What are the consequences of sampling bias?
Sampling bias can lead to inaccurate conclusions, affecting the validity of your research and potentially leading to misguided decisions.
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