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.

D

Step-by-step explanation:

We don't know anything about the survey. Where was it given? How was it given? What time of day was it given? We could think of a million different possibilities that would make the survey's result's void. Maybe it was meant to measure global customer satisfaction and was sent to 1,800 active email users worldwide but could only be viewed by people in America. We can't assume that the people who responded are in no way different from people who didn't, so the results could be biased.

If you think about it, A, B, C, and E can all be eliminated through process of elimination.

ome people is not even worth it to even try it in the air.

step-by-step explanation: