Class 9 Mathematics (Ganita Manjari) Half-Yearly Sample Papers with Solutions Set 3| 2026–27

Artham Resources | Class 9 Mathematics (Ganita Manjari) Half-Yearly Sample Paper with Solutions (Set 3)

Strictly Aligned with CBSE Board Pattern & New NCERT Curriculum (Ganita Manjari) 2026–27

Sharpen deductive reasoning and build multi-step numerical fluency with this authentic, board-standard practice assessment for Class 9 Mathematics. Created to embody the hands-on, conceptual approach of the updated NCERT Ganita Manjari textbook, this full-length mock paper helps students master algebraic manipulations, verify geometric theorems, and execute structured, high-scoring descriptive presentations under timed exam conditions.

Key Highlights & Academic Features

• 100% Latest Blueprint (80 Marks): Systematically divided into 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).

• Updated NCERT Alignment: Mapped comprehensively to the half-yearly syllabus under the rationalized Ganita Manjari curriculum, encompassing Number Systems, Polynomials, Coordinate Geometry, Linear Equations in Two Variables, Introduction to Euclid’s Geometry, and Lines and Angles.

• 50% Competency-Focused Mandate: Packed with contextual real-world scenarios, geometric angle-chasing problems involving transversals, remainder and factor theorem applications, rationalization of radical expressions, and coordinate geometry route-mapping tasks.

• Complete Step-by-Step Marking Scheme: Delivers precise step-wise scoring breakdowns, explicit formula mentions, standard geometric theorem justifications (Given, To\ Prove, Proof), and neatly plotted Cartesian diagrams.

• Timed Exam Simulation: Engineered for standard 3-hour practice sessions to build calculation endurance, optimize time distribution between objective and subjective sections, and eliminate algebraic slip-ups.