
Understanding Selection Bias and Related Concepts
Interactive Video
•
Mathematics
•
9th - 10th Grade
•
Practice Problem
•
Hard
Jennifer Brown
FREE Resource
10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is selection bias?
A type of bias where data is not fully representative.
A method to select the best data for analysis.
A strategy to avoid errors in data collection.
A way to ensure data is accurate.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why did Abraham Wald suggest placing armor where there were no bullet holes?
Because those areas were less important.
Because planes hit in those areas did not return.
Because it was cheaper to armor those areas.
Because those areas were already well-protected.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the Simpson's Paradox illustrate?
The importance of combining all data groups.
The need to ignore trends in data.
How trends can disappear when data groups are combined.
The necessity of using only large data sets.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What was the initial conclusion about gender bias at UC Berkeley in 1973?
Both genders had equal acceptance rates.
There was no gender bias.
Men were more likely to be accepted.
Women were more likely to be accepted.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What did further analysis reveal about the UC Berkeley admissions data?
Women had a higher acceptance rate overall.
Men applied to more competitive departments.
Women applied to less competitive departments.
Men applied to less competitive departments.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can selection bias affect decision-making?
By simplifying the analysis process.
By providing a complete view of the data.
By leading to incorrect conclusions.
By ensuring all data is considered.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main message regarding research published in popular media?
It is always unbiased and accurate.
It may be influenced by selection bias.
It is thoroughly vetted for errors.
It is not influenced by any bias.
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