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.
<em>In the question, we are given;</em>
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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