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होम › परीक्षा नोट्स › OSSC Art Education Instructor › Correlation and Causation

Correlation and Causation

Research Aptitude

इन परीक्षाओं के लिए उपयोगी: OSSC Art Education Instructor, OSSC Economics, OSSC English, OSSC Foundation Course, OSSC Geography, OSSC History, OSSC Mathematics, OSSC Odia

और 3 परीक्षाएँ

OSSC Physical Education Instructor, OSSC Political Science, SSB Lecturer (Degree Colleges)

Read in English

सार

सहसंबंध दिखाता है कि दो चर साथ-साथ बदलते हैं; कार्य-कारण का अर्थ है कि एक चर दूसरे में परिवर्तन लाता है — केवल सहसंबंध से कार्य-कारण सिद्ध नहीं होता।

मुख्य बिंदु

  • सहसंबंध गुणांक −1 (पूर्ण ऋणात्मक) से +1 (पूर्ण धनात्मक) तक होते हैं; 0 का अर्थ कोई रैखिक संबंध नहीं।
  • कोई तीसरा (भ्रमित करने वाला) चर दोनों का कारण हो सकता है।
  • उलटा कार्य-कारण: प्रभाव वास्तव में कारण हो सकता है।
  • आभासी सहसंबंध संयोग से होते हैं।
  • यादृच्छिक प्रयोग कार्य-कारण दिखाने का सबसे सशक्त तरीका हैं।
  • कार्य-कारण के बिना भी सहसंबंध पूर्वानुमान के लिए उपयोगी है।

व्याख्या

  • प्रकीर्ण आरेख संबंध का रूप दिखाते हैं।
  • प्रबल सहसंबंध का अर्थ बड़ा प्रभाव नहीं है।
  • अनुदैर्ध्य आँकड़े समय-क्रम स्थापित करने में मदद करते हैं।
  • चरों को नियंत्रित करना भ्रम घटाता है।
  • सर्वेक्षणों से कारण बताने वाली सुर्ख़ियों से सावधान रहें।

चरण-दर-चरण

  1. पूछी गई अवधारणा, विधि या नीति पहचानें।
  2. परिभाषा, विचारक, वर्ष या नियम याद करें।
  3. उसे स्थिति पर लागू करें और अतिवादी विकल्प हटाएँ।

उदाहरण

  • गर्मियों में आइसक्रीम की बिक्री और डूबने की घटनाएँ दोनों बढ़ती हैं → तापमान भ्रमित करने वाला चर है।
  • अधिक पढ़ने वाले विद्यार्थी अधिक अंक लाते हैं → सहसंबंध; यह दिखाने के लिए कि पढ़ना ही अंक बढ़ाता है, प्रयोग चाहिए।
  • अनुपस्थिति और अंकों के बीच r = −0.8 → प्रबल ऋणात्मक सहसंबंध।

ग़लतियों से बचें और उन्नत बिंदु

  • सामान्य भूल: सहसंबंध से कार्य-कारण निकालना।
  • सामान्य भूल: यह मानना कि r = 0 का अर्थ किसी भी प्रकार का संबंध नहीं।
  • सामान्य भूल: भ्रमित करने वाले चरों की अनदेखी।

त्वरित पुनरावृत्ति

  • −1 से +1।
  • भ्रमित करने वाला चर, उलटा कार्य-कारण।
  • कार्य-कारण के लिए प्रयोग।

अभ्यास MCQ

  1. Choose the most defensible exam-ready conclusion about Correlation and Causation.

    1. A strong correlation always proves that X causes Y.
    2. Correlation and Causation is useful only for record keeping and has no effect on learning.
    3. Correlation and Causation should be applied identically in every situation without checking learner needs.
    4. Correlation alone does not establish causation because confounding, directionality and chance may explain an association.

    नोट्स देखें · इसी विषय के सवाल

    उत्तर देखें

    उत्तर: (d) Correlation alone does not establish causation because confounding, directionality and chance may explain an association.. Choose the most defensible exam-ready conclusion about Correlation and Causation.: Correlation alone does not establish causation because confounding, directionality and chance may explain an association.

  2. For scientific work involving Correlation and Causation, which practice would most improve quality?

    1. Use controlled designs, temporal order and converging evidence before making a causal claim.
    2. If two trends rise together, confounding variables cannot matter.
    3. Causal direction can always be inferred from a scatter plot alone.
    4. Correlation shows that variables vary together; causation requires stronger evidence that alternative explanations and confounding factors have been addressed.

    नोट्स देखें · इसी विषय के सवाल

    उत्तर देखें

    उत्तर: (a) Use controlled designs, temporal order and converging evidence before making a causal claim.. Correlation shows that variables vary together; causation requires stronger evidence that alternative explanations and confounding factors have been addressed.

  3. During data-collection planning on Correlation and Causation, the team checks the design before collecting evidence. Choose the most defensible exam-ready conclusion about Correlation and Causation.

    1. A strong correlation always proves that X causes Y.
    2. Correlation and Causation is useful only for record keeping and has no effect on learning.
    3. Correlation and Causation should be applied identically in every situation without checking learner needs.
    4. Correlation alone does not establish causation because confounding, directionality and chance may explain an association.

    नोट्स देखें · इसी विषय के सवाल

    उत्तर देखें

    उत्तर: (d) Correlation alone does not establish causation because confounding, directionality and chance may explain an association.. Correlation alone does not establish causation because confounding, directionality and chance may explain an association.

  4. In scientific reasoning, which interpretation of Correlation and Causation is consistent with good practice?

    1. Correlation shows that variables vary together; causation requires stronger evidence that alternative explanations and confounding factors have been addressed.
    2. Causal direction can always be inferred from a scatter plot alone.
    3. A strong correlation by itself proves that one variable causes the other.
    4. If two trends rise together, confounding variables cannot matter.

    नोट्स देखें · इसी विषय के सवाल

    उत्तर देखें

    उत्तर: (a) Correlation shows that variables vary together; causation requires stronger evidence that alternative explanations and confounding factors have been addressed.. Correlation shows that variables vary together; causation requires stronger evidence that alternative explanations and confounding factors have been addressed.

  5. A teacher wants to apply Correlation and Causation correctly. Which action is most appropriate?

    1. A strong correlation always proves that X causes Y.
    2. Use design and evidence appropriate to causal claims.
    3. Correlation and Causation is useful only for record keeping and has no effect on learning.
    4. Correlation and Causation should be applied identically in every situation without checking learner needs.

    नोट्स देखें · इसी विषय के सवाल

    उत्तर देखें

    उत्तर: (b) Use design and evidence appropriate to causal claims.. Correlation alone does not establish causation because confounding, directionality and chance may explain an association.

  6. Which statement about Correlation and Causation is NOT appropriate?

    1. Correlation alone does not establish causation because confounding, directionality and chance may explain an association.
    2. Use design and evidence appropriate to causal claims.
    3. A strong correlation always proves that X causes Y.
    4. Correlation and Causation should be interpreted according to its purpose and context.

    नोट्स देखें · इसी विषय के सवाल

    उत्तर देखें

    उत्तर: (c) A strong correlation always proves that X causes Y.. The NOT-appropriate statement is: A strong correlation always proves that X causes Y.

  7. While planning a small research study on Correlation and Causation, the team checks the design before collecting evidence. A teacher wants to apply Correlation and Causation correctly. Which action is most appropriate?

    1. A strong correlation always proves that X causes Y.
    2. Use design and evidence appropriate to causal claims.
    3. Correlation and Causation is useful only for record keeping and has no effect on learning.
    4. Correlation and Causation should be applied identically in every situation without checking learner needs.

    नोट्स देखें · इसी विषय के सवाल

    उत्तर देखें

    उत्तर: (b) Use design and evidence appropriate to causal claims.. Correlation alone does not establish causation because confounding, directionality and chance may explain an association.

  8. While planning a small research study on Correlation and Causation, the team checks the design before collecting evidence. which statement about Correlation and Causation is NOT appropriate?

    1. Correlation alone does not establish causation because confounding, directionality and chance may explain an association.
    2. Use design and evidence appropriate to causal claims.
    3. A strong correlation always proves that X causes Y.
    4. Correlation and Causation should be interpreted according to its purpose and context.

    नोट्स देखें · इसी विषय के सवाल

    उत्तर देखें

    उत्तर: (c) A strong correlation always proves that X causes Y.. The NOT-appropriate statement is: A strong correlation always proves that X causes Y.

  9. While planning a small research study on Correlation and Causation, the team checks the design before collecting evidence. Choose the most defensible exam-ready conclusion about Correlation and Causation.

    1. A strong correlation always proves that X causes Y.
    2. Correlation and Causation is useful only for record keeping and has no effect on learning.
    3. Correlation and Causation should be applied identically in every situation without checking learner needs.
    4. Correlation alone does not establish causation because confounding, directionality and chance may explain an association.

    नोट्स देखें · इसी विषय के सवाल

    उत्तर देखें

    उत्तर: (d) Correlation alone does not establish causation because confounding, directionality and chance may explain an association.. Correlation alone does not establish causation because confounding, directionality and chance may explain an association.

  10. During a research-methods workshop on Correlation and Causation, the team checks the design before collecting evidence. A teacher wants to apply Correlation and Causation correctly. Which action is most appropriate?

    1. A strong correlation always proves that X causes Y.
    2. Use design and evidence appropriate to causal claims.
    3. Correlation and Causation is useful only for record keeping and has no effect on learning.
    4. Correlation and Causation should be applied identically in every situation without checking learner needs.

    नोट्स देखें · इसी विषय के सवाल

    उत्तर देखें

    उत्तर: (b) Use design and evidence appropriate to causal claims.. Correlation alone does not establish causation because confounding, directionality and chance may explain an association.

  11. During a research-methods workshop on Correlation and Causation, the team checks the design before collecting evidence. which statement about Correlation and Causation is NOT appropriate?

    1. Correlation alone does not establish causation because confounding, directionality and chance may explain an association.
    2. Use design and evidence appropriate to causal claims.
    3. A strong correlation always proves that X causes Y.
    4. Correlation and Causation should be interpreted according to its purpose and context.

    नोट्स देखें · इसी विषय के सवाल

    उत्तर देखें

    उत्तर: (c) A strong correlation always proves that X causes Y.. The NOT-appropriate statement is: A strong correlation always proves that X causes Y.

  12. During a research-methods workshop on Correlation and Causation, the team checks the design before collecting evidence. Choose the most defensible exam-ready conclusion about Correlation and Causation.

    1. A strong correlation always proves that X causes Y.
    2. Correlation and Causation is useful only for record keeping and has no effect on learning.
    3. Correlation and Causation should be applied identically in every situation without checking learner needs.
    4. Correlation alone does not establish causation because confounding, directionality and chance may explain an association.

    नोट्स देखें · इसी विषय के सवाल

    उत्तर देखें

    उत्तर: (d) Correlation alone does not establish causation because confounding, directionality and chance may explain an association.. Correlation alone does not establish causation because confounding, directionality and chance may explain an association.

  13. While reviewing a study proposal on Correlation and Causation, the team checks the design before collecting evidence. A teacher wants to apply Correlation and Causation correctly. Which action is most appropriate?

    1. A strong correlation always proves that X causes Y.
    2. Use design and evidence appropriate to causal claims.
    3. Correlation and Causation is useful only for record keeping and has no effect on learning.
    4. Correlation and Causation should be applied identically in every situation without checking learner needs.

    नोट्स देखें · इसी विषय के सवाल

    उत्तर देखें

    उत्तर: (b) Use design and evidence appropriate to causal claims.. Correlation alone does not establish causation because confounding, directionality and chance may explain an association.

  14. While reviewing a study proposal on Correlation and Causation, the team checks the design before collecting evidence. which statement about Correlation and Causation is NOT appropriate?

    1. Correlation alone does not establish causation because confounding, directionality and chance may explain an association.
    2. Use design and evidence appropriate to causal claims.
    3. A strong correlation always proves that X causes Y.
    4. Correlation and Causation should be interpreted according to its purpose and context.

    नोट्स देखें · इसी विषय के सवाल

    उत्तर देखें

    उत्तर: (c) A strong correlation always proves that X causes Y.. The NOT-appropriate statement is: A strong correlation always proves that X causes Y.

  15. While reviewing a study proposal on Correlation and Causation, the team checks the design before collecting evidence. Choose the most defensible exam-ready conclusion about Correlation and Causation.

    1. A strong correlation always proves that X causes Y.
    2. Correlation and Causation is useful only for record keeping and has no effect on learning.
    3. Correlation and Causation should be applied identically in every situation without checking learner needs.
    4. Correlation alone does not establish causation because confounding, directionality and chance may explain an association.

    नोट्स देखें · इसी विषय के सवाल

    उत्तर देखें

    उत्तर: (d) Correlation alone does not establish causation because confounding, directionality and chance may explain an association.. Correlation alone does not establish causation because confounding, directionality and chance may explain an association.

इस अध्याय के अन्य टॉपिक

नोट्स और प्रश्न Kundali IQ ने अभ्यास हेतु लिखे हैं। ये आधिकारिक प्रश्नपत्र नहीं हैं; पाठ्यक्रम और पैटर्न हेतु सदा नवीनतम आधिकारिक अधिसूचना देखें।