QQuestionOther Exams & Certifications
QuestionOther Exams & Certifications
"Which of the following are examples of sampling bias? Select all that apply.
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."
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Answer
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Step 1:I'll solve this problem step by step, analyzing each option for sampling bias.
Step 2:: Understanding Sampling Bias
Sampling bias occurs when some members of a population are systematically more likely to be selected in a sample than others, which can lead to unrepresentative results.
Step 3:: Analyze Option A
Sampling Bias: $$\checkmark$$ YES
This is a clear example of sampling bias. By only interviewing college graduates, the poll excludes a significant portion of the population, potentially skewing the results. Not all voters have college degrees, so this sample is not representative of the entire voting population.
Step 4:: Analyze Option B
Sampling Bias: $$\checkmark$$ YES
This is another example of sampling bias. An unbalanced gender representation can lead to results that are not generalizable to the entire population. Medical studies should aim for proportional representation.
Step 5:: Analyze Option C
Sampling Bias: $$\checkmark$$ YES
This is also sampling bias. By excluding homeschooled students, the survey misses a segment of the high-school-age population, potentially leading to incomplete or skewed results.
Step 6:: Analyze Option D
Sampling Bias: $$\times$$ NO
This is NOT an example of sampling bias. This statement describes a data storage method and provides no information about sampling techniques.
Final Answer
Option D is not a sampling bias scenario.
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