What is sampling error in surveys?
An example of an AI chatbot conversation about sampling error in surveys.
What is sampling error in surveys?
Sampling error refers to the difference between the results obtained from a sample and the actual values in the population.
How does it affect survey results?
It can lead to inaccurate conclusions if the sample is not representative of the population, skewing the results.
What are some common causes of sampling error?
Common causes include a small sample size, biased selection methods, and non-response from certain groups.
How can we minimize sampling error?
To minimize sampling error, use larger sample sizes, random sampling techniques, and ensure diverse representation.
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