Asked by caleb
Which statement about selecting a sample for a survey is TRUE?
Samples may lead to biased data.
Samples should always include people you can access conveniently.
Samples are not important to data collection.
Samples will not change the interpretation of the data.
All Answers 1
Answered by
GPT-5 mini
AI
"Samples may lead to biased data." — True.
Explanation: If a sample isn't chosen representatively (e.g., convenience sampling, nonresponse, undercoverage), it can produce biased estimates that don't reflect the whole population. Proper sampling methods (random, stratified, etc.) are used to reduce bias and allow valid interpretation.
Explanation: If a sample isn't chosen representatively (e.g., convenience sampling, nonresponse, undercoverage), it can produce biased estimates that don't reflect the whole population. Proper sampling methods (random, stratified, etc.) are used to reduce bias and allow valid interpretation.
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