Artham Resources | Class 9 Mathematics (Ganita Manjari) Half-Yearly Sample Paper with Solutions (Set 6)
Strictly Aligned with CBSE Board Pattern & New NCERT Curriculum (Ganita Manjari) 2026–27
Strengthen mathematical problem-solving rigour and develop sharp deductive intuition with this authentic, board-standard practice assessment for Class 9 Mathematics. Created to embody the conceptual and activity-oriented approach of the updated NCERT Ganita Manjari textbook, this full-length mock paper enables students to diagnose conceptual blind spots, master multi-tier algebraic factorizations, and produce structured, high-scoring geometric proofs under authentic timed conditions.
Key Highlights & Academic Features
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100% Latest Blueprint (80 Marks): Systematically organized across all 5 standard CBSE sections: Section A (20 Objective Type Questions including 18 MCQs & 2 Assertion-Reasoning), Section B (5 Very Short Answer Questions – 2 Marks each), Section C (6 Short Answer Questions – 3 Marks each), Section D (4 Long Answer Questions – 5 Marks each), and Section E (3 Case-Based/Integrated Units of Assessment – 4 Marks each).
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Updated NCERT Alignment: Comprehensive coverage of the half-yearly syllabus based on the rationalized Ganita Manjari curriculum, targeting Number Systems, Polynomials, Coordinate Geometry, Linear Equations in Two Variables, Introduction to Euclid’s Geometry, and Lines and Angles.
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50% Competency-Focused Mandate: Packed with practical application-driven word problems, exponent rules and denominator rationalization, linear equation graph plotting, alternate interior and co-interior angle theorems, and real-life coordinate navigation case studies.
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Complete Step-by-Step Marking Scheme: Delivers explicit step-wise scoring points, formula substitutions, standard geometric proof structures ($Given$, $To\ Prove$, $Construction$, and $Proof$ with valid reasons), and accurate Cartesian coordinate sketches.
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Timed Exam Simulation: Engineered for standard 3-hour practice sessions to build calculation endurance, optimize time distribution between objective and long-answer sections, and eliminate algebraic sign errors.


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