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오늘은 2023년 11월 고2모의고사 변형문제(33번)와 정답자료를 제공해 드립니다.
좋은 내신 성적은 진심에서 나오는 거 아시죠?
33번 지문에 대한 완벽한 이해는 기본이죠?
33번 내용 확실히 익히셨으리라 믿고,
변형문제 도전 시작합니다!
Here we go!
2023년 11월 고2모의고사 변형문제 (33번)
1. 다음 밑줄 친 부분 중 어법상 틀린 것은?
Correlations are powerful because the insights they offer are relatively clear. These insights are often ①covered up when we bring causality back into the picture. For instance, a used‑car dealer supplied data to statisticians to predict which of the vehicles available for purchase at an auction ②were likely to have problems. A correlation analysis showed that orange‑colored cars were ③far less likely to have defects. Even as we read this, we already think about why it might be so: Are orange‑colored car owners likely to be car enthusiasts and take better care of their vehicles? Or, is it because orange‑colored cars are more noticeable on the road and therefore less likely to be in accidents, so they’re in better condition when ④reselling? Quickly we are caught in a web of competing causal hypotheses. But our attempts to illuminate things this way only ⑤make them cloudier. Correlations exist; we can show them mathematically. We can’t easily do the same for causal links. So we would do well to hold off from trying to explain the reason behind the correlations.
정답은?
④resold
orange‑colored cars가 팔릴 때라는 '수동'의 의미이므로 resold가 옳습니다.
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2023년 11월 고2모의고사 변형문제 (33번)
2 다음 밑줄 친 부분 중 문맥상 어색한 것은? (원문 일부 변형 문제입니다.)
Correlations are powerful because the insights they offer are relatively ①obvious. These insights are often covered up when we bring causality back into the picture. For instance, a used‑car dealer supplied data to statisticians to predict which of the vehicles available for purchase at an auction were likely to have ②defects. A correlation analysis showed that orange‑colored cars were far less likely to have defects. Even as we read this, we already think about why it might be so: Are orange‑colored car owners likely to be car enthusiasts and take better care of their vehicles? Or, is it because orange‑colored cars are more noticeable on the road and therefore less likely to be in accidents, so they’re in better condition when resold? Quickly we are caught in a web of ③conflicting causal hypotheses. But our attempts to illuminate things this way only make them ④clearer. Correlations exist; we can show them mathematically. We can’t easily do the same for causal links. So we would do well to hold off from trying to explain the reason behind the ⑤connections.
정답은?
④clearer(더 명확한) -> cloudier
참고 :
①clear (원문어휘)
②problems (원문어휘)
③competing (원문어휘)
⑤correlations (원문어휘)
2023년 11월 고2모의고사 변형문제 (33번)
3. 다음 문장에 이어질 글의 순서를 정하시오.
Correlations are powerful because the insights they offer are relatively clear. These insights are often covered up when we bring causality back into the picture.
(A) Even as we read this, we already think about why it might be so: Are orange‑colored car owners likely to be car enthusiasts and take better care of their vehicles? Or, is it because orange‑colored cars are more noticeable on the road and therefore less likely to be in accidents, so they’re in better condition when resold? Quickly we are caught in a web of competing causal hypotheses.
(B) But our attempts to illuminate things this way only make them cloudier. Correlations exist; we can show them mathematically. We can’t easily do the same for causal links. So we would do well to hold off from trying to explain the reason behind the correlations.
(C) For instance, a used‑car dealer supplied data to statisticians to predict which of the vehicles available for purchase at an auction were likely to have problems. A correlation analysis showed that orange‑colored cars were far less likely to have defects.
정답은?
(C)-(A)-(B)
2023년 11월 고2모의고사 변형문제 (33번)
4. 다음 글의 주제로 가장 알맞은 것은?
Correlations are powerful because the insights they offer are relatively clear. These insights are often covered up when we bring causality back into the picture. For instance, a used‑car dealer supplied data to statisticians to predict which of the vehicles available for purchase at an auction were likely to have problems. A correlation analysis showed that orange‑colored cars were far less likely to have defects. Even as we read this, we already think about why it might be so: Are orange‑colored car owners likely to be car enthusiasts and take better care of their vehicles? Or, is it because orange‑colored cars are more noticeable on the road and therefore less likely to be in accidents, so they’re in better condition when resold? Quickly we are caught in a web of competing causal hypotheses. But our attempts to illuminate things this way only make them cloudier. Correlations exist; we can show them mathematically. We can’t easily do the same for causal links. So we would do well to hold off from trying to explain the reason behind the correlations.
① The limitations of seeking causal explanations in correlation analysis
② The significance of color in used-car resale values
③ The role of statistical analysis in understanding vehicle defects
④ How car enthusiasts contribute to vehicle maintenance
⑤ The impact of accidents on the resale value of cars
정답은?
① The limitations of seeking causal explanations in correlation analysis
① 상관관계 분석에서 인과관계 설명을 구하는 것의 한계
참고 :
② 중고차 재판매가격에 있어서 색채의 중요성
③ 차량결함을 이해하기 위한 통계분석의 역할
④ 자동차 애호가가 차량 유지 관리에 기여하는 방식
⑤ 사고가 자동차의 재판매 가치에 미치는 영향
2023년 11월 고2모의고사 변형문제 (33번)
5. 다음 글의 내용을 한 문장으로 요약하고자 한다. 빈칸 (A), (B)에 들어갈 말로 가장 적절한 것은?
Correlations are powerful because the insights they offer are relatively clear. These insights are often covered up when we bring causality back into the picture. For instance, a used‑car dealer supplied data to statisticians to predict which of the vehicles available for purchase at an auction were likely to have problems. A correlation analysis showed that orange‑colored cars were far less likely to have defects. Even as we read this, we already think about why it might be so: Are orange‑colored car owners likely to be car enthusiasts and take better care of their vehicles? Or, is it because orange‑colored cars are more noticeable on the road and therefore less likely to be in accidents, so they’re in better condition when resold? Quickly we are caught in a web of competing causal hypotheses. But our attempts to illuminate things this way only make them cloudier. Correlations exist; we can show them mathematically. We can’t easily do the same for causal links. So we would do well to hold off from trying to explain the reason behind the correlations.
↓
Avoiding [A] assumptions can maintain the [B] of patterns observed in statistical relationships.
[A] [B]
① competitive regularity
② ambiguous subjectivity
③ causal clarity
④ objective uniqueness
⑤ elusive creativity
정답은?
③ causal clarity
Avoiding causal assumptions can maintain the clarity of patterns observed in statistical relationships.
인과적 가정을 회피하면 통계적 관계에서 관찰되는 패턴의 명확성을 유지할 수 있다.
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2023년 11월 고2모의고사 변형문제(33번)와 정답자료였습니다.
2023년 11월 고2모의고사 변형문제(34번)와 정답자료도 확인해보실까요?
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