Non-response could cause the results of the survey to be biased because those people who did not respond in the survey may differ from those who did respond.
In the question, we are given;
A total of 2,000 people on a survey
we are told 317 (sample) people returned the survey
The data given in the question is a non-response bias, therefore;
We can say that, people who did not respond in the survey may differ from those who did respond to the survey
Usually, in non-response bias, the samples that are given or chosen by people, are not capable of participating in the survey.
Find more questions on non-response bias at: brainly.com/question/14553504
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