Concept-wise Practice

disaggregated data MCQ Questions for Class 12

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Practice Questions

6 questions tagged with disaggregated data.

यदि बालिका शिक्षा पर data केवल कुल संख्या में है और caste income disability के अनुसार नहीं है तो क्या छूट सकता है?

If data on girls education is only in total numbers and not by caste income or disability what may be missed?

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Correct Answer

A. अंदरूनी असमानताओं की पहचानIdentification of internal inequalities

Step 1

Concept

Disaggregated data shows problems of vulnerable groups. In exams remember inclusive monitoring.

Step 2

Why this answer is correct

The correct answer is A. अंदरूनी असमानताओं की पहचान / Identification of internal inequalities. Disaggregated data shows problems of vulnerable groups. In exams remember inclusive monitoring.

Step 3

Exam Tip

disaggregated data कमजोर समूहों की समस्या दिखाता है। परीक्षा में inclusive monitoring याद रखें।

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यदि gender audit केवल महिलाओं की संख्या गिनता है और वेतन पद सुरक्षा तथा contract type नहीं देखता तो क्या कमी है?

If a gender audit only counts the number of women and ignores wage position safety and contract type what is the gap?

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Correct Answer

A. गहन असमानताओं का विश्लेषण छूट जाता हैAnalysis of deeper inequalities is missed

Step 1

Concept

Numbers alone do not give the full picture of equality. In exams remember disaggregated data.

Step 2

Why this answer is correct

The correct answer is A. गहन असमानताओं का विश्लेषण छूट जाता है / Analysis of deeper inequalities is missed. Numbers alone do not give the full picture of equality. In exams remember disaggregated data.

Step 3

Exam Tip

केवल संख्या equality का पूरा चित्र नहीं देती। परीक्षा में disaggregated data याद रखें।

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यदि किसी संस्था में gender audit केवल कुल पुरुष महिला संख्या देखता है तो कौन सी कमी रह जाती है?

If a gender audit checks only total male female numbers what gap remains?

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Correct Answer

A. अनुभव आयु पद और वेतन स्तरों का सूक्ष्म विश्लेषण छूट जाता हैDetailed analysis of experience age position and pay levels is missed

Step 1

Concept

Total numbers can hide inequalities. In exams remember the importance of disaggregated data.

Step 2

Why this answer is correct

The correct answer is A. अनुभव आयु पद और वेतन स्तरों का सूक्ष्म विश्लेषण छूट जाता है / Detailed analysis of experience age position and pay levels is missed. Total numbers can hide inequalities. In exams remember the importance of disaggregated data.

Step 3

Exam Tip

कुल संख्या hidden inequality छिपा सकती है। परीक्षा में disaggregated data का महत्व याद रखें।

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किस स्थिति में gender issues को समझने के लिए disaggregated data उपयोगी होगा?

In which situation will disaggregated data help understand gender issues?

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Correct Answer

A. जब training participation को gender और job category के अनुसार देखना होWhen training participation must be seen by gender and job category

Step 1

Concept

Separate data shows hidden gaps. In exams connect data analysis with policy correction.

Step 2

Why this answer is correct

The correct answer is A. जब training participation को gender और job category के अनुसार देखना हो / When training participation must be seen by gender and job category. Separate data shows hidden gaps. In exams connect data analysis with policy correction.

Step 3

Exam Tip

अलग data hidden gaps दिखाता है। परीक्षा में data analysis को policy सुधार से जोड़ें।

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यदि workplace data में कुल महिला संख्या ठीक है पर older women की संख्या training में बहुत कम है तो क्या करना चाहिए?

If workplace data shows overall women numbers are fine but older women are very low in training what should be done?

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Correct Answer

A. age और gender के संयुक्त data की समीक्षाReview combined data by age and gender

Step 1

Concept

Overall data can hide gaps. In exams treat disaggregated data as a policy tool.

Step 2

Why this answer is correct

The correct answer is A. age और gender के संयुक्त data की समीक्षा / Review combined data by age and gender. Overall data can hide gaps. In exams treat disaggregated data as a policy tool.

Step 3

Exam Tip

कुल data hidden gaps छिपा सकता है। परीक्षा में disaggregated data को policy tool मानें।

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यदि older workers और women workers दोनों को digital training में कम भागीदारी मिलती है तो data analysis में क्या करना चाहिए?

If older workers and women workers both have low participation in digital training what should be done in data analysis?

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Correct Answer

A. age और gender के अनुसार अलग तथा संयुक्त data देखनाCheck data separately and jointly by age and gender

Step 1

Concept

Separate and joint data show hidden gaps. In exams treat disaggregated data as a policy tool.

Step 2

Why this answer is correct

The correct answer is A. age और gender के अनुसार अलग तथा संयुक्त data देखना / Check data separately and jointly by age and gender. Separate and joint data show hidden gaps. In exams treat disaggregated data as a policy tool.

Step 3

Exam Tip

अलग और संयुक्त data hidden gaps दिखाते हैं। परीक्षा में disaggregated data को policy tool मानें।

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AI Video Prompt 16:9 + 9:16

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