Which of the following are examples of sampling bias? select all that apply. 1 point
A. A national election poll only interviews people with college degrees.
B. A clinical study includes three times more men than women.
C. A survey of high-school-age students does not include homeschooled students.
D. An online marketing analytics firm stores data in a spreadsheet.<\/p>\n\n\n\n
The Correct Answer and Explanation is:<\/mark><\/strong><\/p>\n\n\n\n The correct answers are:<\/p>\n\n\n\n A. A national election poll only interviews people with college degrees.<\/strong> Sampling bias occurs when certain members of a population are systematically more likely to be included in a sample than others, leading to an unrepresentative sample. This can skew results and undermine the validity of conclusions drawn from the study.<\/p>\n\n\n\n By identifying and mitigating sampling bias, researchers can improve the accuracy and generalizability of their results.<\/p>\n","protected":false},"excerpt":{"rendered":" Which of the following are examples of sampling bias? select all that apply. 1 pointA. A national election poll only interviews people with college degrees.B. A clinical study includes three times more men than women.C. A survey of high-school-age students does not include homeschooled students.D. An online marketing analytics firm stores data in a spreadsheet. 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B. A clinical study includes three times more men than women.<\/strong>
C. A survey of high-school-age students does not include homeschooled students.<\/strong><\/p>\n\n\n\nExplanation:<\/h3>\n\n\n\n
\n
This is an example of sampling bias<\/strong> because the poll is not representative of the entire population. People without college degrees may have different views than those with college degrees, so focusing solely on college-educated individuals excludes a large portion of the electorate, leading to biased results. By not interviewing people from diverse educational backgrounds, the poll may overrepresent or underrepresent certain opinions, affecting the accuracy of the findings.<\/li>\n\n\n\n
This represents sampling bias<\/strong> because the sample is not balanced in terms of gender. If the clinical study disproportionately includes men, the results may not be generalizable to the entire population, which likely has a more balanced gender distribution. Gender differences in health responses could also distort the study’s findings, making it less applicable to women.<\/li>\n\n\n\n
This is another example of sampling bias<\/strong>, as it excludes a specific subgroup of high-school-age students\u2014those who are homeschooled. Homeschool students may have different educational experiences and views compared to students attending traditional schools, so omitting them from the survey creates a bias in the sample. The results may not accurately reflect the attitudes, behaviors, or experiences of all high school students.<\/li>\n\n\n\n
Storing data in a spreadsheet is not an example of sampling bias<\/strong>. While this may refer to how data is organized or analyzed, it doesn’t directly influence how a sample is selected. Sampling bias pertains to the selection process, not the storage method.<\/li>\n<\/ol>\n\n\n\n