Answer:
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Explanation:
Selection bias occurs when the selection of the sample is not random and is instead influenced by factors that are not related to the study objective. Here are some examples of selection bias in a survey of brown-eyed people:
A survey that only includes brown-eyed people from a specific geographic location, such as a single city or state. This would not be representative of the entire population of brown-eyed people.
A survey that only includes brown-eyed people who are members of a particular organization or club. This would not be representative of the entire population of brown-eyed people, as it would exclude those who are not members of the organization or club.
A survey that only includes brown-eyed people who have a certain level of education or income. This would not be representative of the entire population of brown-eyed people, as it would exclude those with different levels of education or income.
A survey that only includes brown-eyed people who are willing to participate in the study. This could result in a biased sample, as those who are not willing to participate may have different characteristics than those who are willing to participate.
In general, any selection process that is not random and does not provide equal opportunity for all members of the population to be included in the study can result in selection bias.