The margin of error does not take into account the bias caused by nonresponse.
What is nonresponse bias?
The phenomenon known as participation bias, also known as non-response bias, occurs when a disproportionate number of participants have certain characteristics that have an impact on the results of surveys, polls, and other types of research.
Nonresponse bias happens when a portion of the sample's respondents fail to respond. The main distinction in this instance is that the error arises from a lack of respondents rather than the collection of false data.
Usually, the number of responses is used to calculate the margin of error. You can treat a sample from a finite population as infinite if the sampling fraction is small, but if the sampling fraction is high (say, more than 10% of the population size), you must make a finite population correction.
So, the non-response bias is not taken into account by the margin of error.
Longer commuters might take less time to complete a survey.
This would result in our estimate from the sample being lower than the actual mean travel time to work.
Hence, the margin of error does not take into account the bias caused by nonresponse.
To know more about nonresponse bias, click on the link
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