Artham Resources | Class 9 Mathematics (Ganita Manjari) Half-Yearly Sample Paper with Solutions (Set 8)
Strictly Aligned with CBSE Board Pattern & New NCERT Curriculum (Ganita Manjari) 2026–27
Target higher-order thinking skills and strengthen rigorous mathematical deduction with this authentic, board-standard practice assessment for Class 9 Mathematics. Built precisely around the pedagogical principles of the updated NCERT Ganita Manjari textbook, this full-length mock paper helps learners bridge conceptual gaps across Number Systems, Polynomials, and Plane Geometry, master multi-tier algebraic simplifications, and produce flawless, step-wise descriptive answers under timed conditions.
Key Highlights & Academic Features
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100% Latest Blueprint (80 Marks): Balanced 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: Features multi-concept contextual word problems, irrational number representations on the number line, factorisation of multivariable polynomials, geometric proofs on parallel lines and auxiliary constructions, and Cartesian coordinate mapping models.
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Complete Step-by-Step Marking Scheme: Delivers explicit step-wise scoring breakdowns, standard geometric deductive proofs (Given, To\ Prove, Construction, Proof with valid geometric axioms), exact formula substitutions, and accurately plotted Cartesian graphs.
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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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