Each person in a simple random sample of 1,800 received a survey, and 267 people returned their survey. How could nonresponse cause the results of the survey to be biased?
-Those who did not respond reduced the sample size, and small samples have more bias than large samples.
- Those who did not respond caused a violation of the assumption of independence.
-Those who did not respond are indistinguishable from those who did not receive the survey.
-Those who did not respond may differ in some important way from those who did respond.
-Those who did not respond represent a stratum, changing the random sample into a stratified random sample.
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