Question

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.

Answer 1

Those who did not respond may differ in some important way from those who did respond.

How to identify a biased survey?

A survey is said to be biased if it is done in a way that skews people towards a certain answer or reasoning. This survey bias also occurs if your questions are hard to understand which makes it difficult for customers to answer honestly.

Now, in thus question we see that only 267 out 0f 1800 that were sampled returned their surveys. Thus, the bias here could be that those who didn't respond who are more than those that responded could have different views from those that responded.

Read more about Biased Survey at; https://brainly.com/question/4095022

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