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Delhi Board of School Education Class XI Economics Set 02 (Advanced Level) English Medium 100% Free Practice Test

Delhi Board of School Education Class XI Economics: Collection of Data Online Test (Set 02 (Advanced Level)) | TargetExams

Collection of Data — Set 02 (Advanced Level)

Take free online mock test for Delhi Board of School Education Class XI Economics chapter 'Collection of Data'. 20 MCQs, 20 minutes, detailed solutions & score analysis.

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20 MCQs

Questions

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20 Mins

Duration

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20 Marks

Total Marks

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+1.0

Per Correct

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0.0

Negative Mark

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English

Language

Start Test Now (English Medium)

Instant Scorecard Step-by-Step Solutions DBSE Pattern

Chapter Study Guide & In-Depth Notes

Master the key concepts, vocabulary, and high-yield questions before starting the test.

3 Sections

Chapter Overview & Core Concepts: Collection of Data

Class 11 Study Guide

Mastering Collection of Data in Class 11 provides critical subject intuition, analytical skills, and examination readiness.

Examinations test fundamental principles, definitions, cause-and-effect reasoning, and real-world applications under timed conditions.

Core Moral & Key Takeaway:

Grasping core concepts and practicing with timed chapter-wise CBT tests guarantees top performance in board exams.

Key Terminology, Definitions & Principles

Glossary & Concepts

Term / Formula	Type	Definition / Meaning	Explanation / Notes	Example / Usage
Core Concept	Principle	Primary concept governing Collection of Data.	मुख्य सिद्धांत	"Understand and apply the principle accurately."
Analytical Deduction	Skill	Evaluating evidence to draw correct conclusions.	तार्किक विश्लेषण	"Examine question clues systematically."

Key Features & Devices Explored:

Systematic Elimination

Eliminate distractor choices before selecting the best answer.

Pacing & Accuracy

Complete each question within 60 seconds to maintain steady momentum.

High-Yield Revision Points & Solved Board Exam Q&A

Revision Notes

⚡ High-Yield Exam Takeaways:

Review all key textbook terms, definitions, and formulas.
Pay attention to units, boundary values, and key keywords in questions.
Solve Foundation Set 01 to build confidence, followed by Advanced Set 02 for exam excellence.

Frequently Asked Questions & Model Answers:

Q1 How should students prepare for Collection of Data exams?

Answer: Read the chapter thoroughly, practice step-by-step solved examples, memorize key definitions, and evaluate preparation using timed online CBT mock tests.

Sample Questions Preview

Free Sneak Peek

Here is a sneak peek of the questions included in this test set. Test your preparation by viewing the answer and detailed explanation before starting the timed exam.

What is the mathematical relationship between the sample size (n) and the magnitude of Sampling Error versus Non-Sampling Error?

नमूने के आकार (n) और प्रतिचयन त्रुटि (Sampling Error) बनाम गैर-प्रतिचयन त्रुटि (Non-Sampling Error) के परिमाण के बीच गणितीय संबंध क्या है?

As sample size increases, Sampling Error decreases inversely, whereas Non-Sampling Error tends to increase due to administrative complexity and data recording errorsजैसे-जैसे नमूने का आकार बढ़ता है, प्रतिचयन त्रुटि व्युत्क्रमानुपाती रूप से घटती है, जबकि प्रशासनिक जटिलता और डेटा रिकॉर्डिंग त्रुटियों के कारण गैर-प्रतिचयन त्रुटि बढ़ने की प्रवृत्ति रखती है

Both sampling and non-sampling errors drop to absolute zero when sample size exceeds 50जब नमूने का आकार 50 से अधिक हो जाता है तो प्रतिचयन और गैर-प्रतिचयन दोनों त्रुटियां पूर्ण शून्य पर आ जाती हैं

Sampling error increases with sample size, while non-sampling error remains constantनमूने के आकार के साथ प्रतिचयन त्रुटि बढ़ती है, जबकि गैर-प्रतिचयन त्रुटि स्थिर रहती है

Sample size has zero mathematical relationship with any statistical errorsनमूने के आकार का किसी भी सांख्यिकीय त्रुटि के साथ शून्य गणितीय संबंध है

Correct Answer: Option A

Explanation:

Sampling error shrinks with larger sample size (n) because larger samples capture population variability more faithfully (proportional to 1/√n). Conversely, as sample size swells, organizing enumerators, monitoring interviews, and data entry become error-prone, causing non-sampling errors to climb.

जैसे-जैसे सैंपल साइज (n) बढ़ता है, प्रतिचयन त्रुटि घटती जाती है क्योंकि बड़ा सैंपल पूरी आबादी का बेहतर प्रतिनिधित्व करता है। परंतु सैंपल बहुत बड़ा होने पर हज़ारों फील्ड वर्करों की गलतियों और डेटा एंट्री की गलतियों के कारण गैर-प्रतिचयन त्रुटियां (Non-sampling errors) बढ़ जाती हैं।

Assertion (A): Stratified Random Sampling is statistically superior to Simple Random Sampling when investigating a heterogeneous population. Reason (R): Stratification ensures that every distinctive homogeneous sub-group (stratum) of the population is proportionally represented in the sample, reducing overall sampling variance.

अभिकथन (A): एक विषम (विविध) जनसंख्या की जांच करते समय स्तरीकृत यादृच्छिक प्रतिचयन सांख्यिकीय रूप से सरल यादृच्छिक प्रतिचयन से श्रेष्ठ होता है। कारण (R): स्तरीकरण यह सुनिश्चित करता है कि जनसंख्या के प्रत्येक विशिष्ट सजातीय उप-समूह (स्तर) का नमूने में आनुपातिक रूप से प्रतिनिधित्व हो, जिससे समग्र प्रतिचयन प्रसरण (Variance) कम हो जाता है।

Both (A) and (R) are true and (R) is the correct explanation of (A)(A) और (R) दोनों सही हैं और (R), (A) की सही व्याख्या है

Both (A) and (R) are true but (R) is NOT the correct explanation of (A)(A) और (R) दोनों सही हैं लेकिन (R), (A) की सही व्याख्या नहीं है

(A) is true but (R) is false(A) सही है लेकिन (R) गलत है

(A) is false but (R) is true(A) गलत है लेकिन (R) सही है

Correct Answer: Option A

Explanation:

Both (A) and (R) are true, and (R) explains (A). In a population with disparate strata (e.g. rich, middle class, poor), simple random sampling might accidentally oversample one class. Stratified sampling guarantees representation across all strata, minimizing variance and increasing precision.

(A) और (R) दोनों सही हैं और (R), (A) की सही व्याख्या है। यदि किसी कॉलेज में कला, विज्ञान और वाणिज्य के छात्र हैं, तो साधारण लॉटरी में हो सकता है कि केवल विज्ञान के छात्र ही चुन लिए जाएं। स्तरीकृत विधि तीनों संकायों से निश्चित संख्या में छात्र चुनकर संतुलित और सटीक नमूना सुनिश्चित करती है।

How Chapter-Wise Online CBT Tests Build Winning Habits for Future Competitive Exams

Focused chapter-wise CBT practice builds the speed, mental stamina, and analytical discipline required to ace CUET, JEE Main, NEET UG, NDA, CA Foundation, and College Entrance Exams.

Competitive Edge

Real-Time Clock Awareness & Pacing

समय प्रबंधन एवं गति नियंत्रण

In school examinations, students write answers without active pacing. In national entrance tests, students have barely 45-60 seconds per MCQ. Practicing with a 20-minute timer instills instinctive time-budgeting and prevents last-minute exam panic.

Mastery of the Elimination Technique

विकल्प निष्कासन विधि में दक्षता

Top rankers in competitive exams rarely compute every problem blindly. They spot subtle traps, evaluate extreme values, and eliminate 2 out of 4 distractors within seconds. Our 4-option sets teach critical distractor analysis.

CBT Screen Stamina & Digital Comfort

कंप्यूटर आधारित परीक्षा का सहज अभ्यास

Almost all major national exams (CUET, JEE, NEET, SSC, Banking) are 100% computer-based. Students who only study on paper experience eye strain and navigation mistakes on exam day. Early CBT practice creates effortless digital fluency.

Immunity to Negative Marking

सटीकता और नकारात्मक अंकन से सुरक्षा

Careless errors—such as misreading "NOT" or "EXCEPT"—ruin thousands of competitive aspirations each year. Regular objective testing builds the habit of double-checking question keywords before locking answers.

Instant Diagnostic Feedback Loop

तत्काल त्रुटि निवारण एवं आत्म-मूल्यांकन

Traditional paper tests take weeks to grade, by which time the student has forgotten their thought process. TargetExams provides instant scorecards and step-by-step solutions while the conceptual puzzle is still fresh.

Syllabus Concepts Evaluated in this Chapter

This test series specifically evaluates the core competencies and learning objectives outlined in the official syllabus:

Core definitions, fundamental theorems, and essential concepts of this chapter.
Step-by-step mathematical reasoning and deductive problem-solving.
Application of standard formulas and operations in real-world scenarios.
Critical examination of common exam pitfalls and misleading options.
Higher-order thinking skill (HOTS) questions to prepare for school examinations.
Speed and accuracy mastery under standard timed CBT exam conditions.

Exam Rules & Test Taking Guidelines

Total Questions: The test consists of exactly 20 objective type questions.
Time Allowed: 20 Minutes countdown timer begins as soon as the test launches.
Marking Scheme: +1.0 mark is awarded for each correct answer.
Zero Penalty: There is 0.0 negative marking for incorrect or unattempted questions.
Question Palette: Freely navigate between questions and flag questions for later review.
Review & Solutions: Access instant scorecard and full step-by-step solutions upon submission.

Frequently Asked Questions (FAQs)

Yes! Foundation Practice Set 01 for every chapter in Delhi Board of School Education Class XI Economics is 100% free to attempt. Students can test their knowledge without any payment or hidden fees.

This page is dedicated to English Medium. You can also attempt this test in Hindi Medium by clicking the switcher at the top.

Absolutely. All 20 multiple-choice questions are strictly designed in line with the latest guidelines, covering both basic conceptual understanding and higher-order thinking skills.

The test contains 20 MCQs to be solved in 20 minutes. Each question carries +1.0 mark for a correct answer, and there is zero (0.0) negative marking for incorrect answers.

Yes. Immediately upon submitting your test, you receive a comprehensive performance summary including your total score, accuracy percentage, time spent per question, and full step-by-step explanations for all 20 questions.

Collection of Data (Set 02 (Advanced Level))

20 MCQs • 20 Mins • 100% Free Practice Test

Delhi Board of School Education Class XI Economics: Collection of Data Online Test (Set 02 (Advanced Level)) | TargetExams

Chapter Study Guide & In-Depth Notes

Chapter Overview & Core Concepts: Collection of Data