What is the impact of bias in sampling?
An example of an AI chatbot conversation about the effects of bias in sampling methods.
What is the impact of bias in sampling?
Bias in sampling can lead to inaccurate conclusions, as it may not represent the entire population.
Can you give me an example of sampling bias?
Sure! An example is conducting a survey only among college students, which may not reflect the views of older adults.
How can we minimize bias in sampling?
To minimize bias, use random sampling methods and ensure diverse representation from the target population.
What are the consequences of biased sampling in research?
Consequences include flawed data, misleading results, and potentially harmful decisions based on incorrect information.
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