MCQ Collection
china-civil-service-xingce MCQs
Practice china-civil-service-xingce questions with answers and explanations.
Correct Answer: 45
Explanation:
Each unordered pair meets once, so the total is C(10,2)=10×9/2=45.
Choose an option to check your answer.
Correct Answer: A. 22
Explanation:
The sequence increases by 4 each time, so the next term is 22.
Correct Answer: 117
Explanation:
Convert 30% to 30/100 and multiply by 390, giving 117.0.
Choose an option to check your answer.
Correct Answer: B. All analysts are readers, and some readers are planners; it does not follow that all analysts are planners
Explanation:
The premises establish analyst→reader and the existence of reader-planners, but do not connect those planners to every analyst.
Correct Answer: 432
Explanation:
Add all three reported values: 107+144+181=432.
Choose an option to check your answer.
Correct Answer: B. The evidence supports correlation but does not by itself establish causation
Explanation:
Association alone cannot rule out confounding, reverse direction or chance; causal inference requires stronger design and evidence.
Correct Answer: 36
Explanation:
Each unordered pair meets once, so the total is C(9,2)=9×8/2=36.
Choose an option to check your answer.
Correct Answer: B. 17
Explanation:
The sequence increases by 3 each time, so the next term is 17.
Correct Answer: 95
Explanation:
Convert 25% to 25/100 and multiply by 380, giving 95.0.
Choose an option to check your answer.
Correct Answer: C. All analysts are readers, and some readers are planners; it does not follow that all analysts are planners
Explanation:
The premises establish analyst→reader and the existence of reader-planners, but do not connect those planners to every analyst.
Correct Answer: 426
Explanation:
Add all three reported values: 106+142+178=426.
Choose an option to check your answer.
Correct Answer: C. The evidence supports correlation but does not by itself establish causation
Explanation:
Association alone cannot rule out confounding, reverse direction or chance; causal inference requires stronger design and evidence.