The Class 9 RD Sharma textbook is a comprehensive mathematics resource designed for students in the 9th grade. It covers essential topics in the CBSE curriculum, including:

1Mathematics - IX | Chapter-wise Breakdown

1. Number System – Covers rational and irrational numbers, and their properties.
2. Exponents of Real Numbers – Introduction to laws of exponents for real numbers.
3. Rationalisation – Techniques to remove surds from the denominator.
4. Algebraic Identities – Common identities and their applications in simplification.
5. Factorization of Algebraic Expressions – Breaking expressions into factors using identities.
6. Factorization of Polynomials – Special techniques to factor polynomials.
7. Linear Equations in Two Variables – Understanding and solving two-variable linear equations.
8. Coordinate Geometry – Basics of plotting points on the Cartesian plane.
9. Introduction to Euclid’s Geometry – Euclid's definitions, axioms, and postulates.
10. Lines and Angles – Types of angles and properties related to lines and angles.
11. Triangle and its Angles – Angle sum property and types of triangles.
12. Congruent Triangles – Criteria and properties for triangle congruence.l
13. Quadrilaterals – Properties and classification of quadrilaterals.
14. Areas of Parallelograms and Triangles – Area formulas and related problems.
15. Circles – Basic terms, angle properties, and theorems of circles.
16. Construction – Geometrical constructions using ruler and compass.
17. Heron’s Formula – Calculating area of triangles using Heron’s formula.
18. Surface Area and Volume of A Cuboid and Cube – Surface area and volume formulas.
19. Surface Area and Volume of A Right Circular Cylinder – Derivations and applications.
20. Surface Area and Volume of A Right Circular Cone – Surface area and volume of cones.
21. Surface Area and Volume of A Sphere – Sphere and hemisphere volume/surface area.
22. Tabular Representation of Statistical Data – Organizing data into tables.
23. Graphical Representation of Statistical Data – Bar graphs, histograms, and frequency polygons.
24. Measures of Central Tendency – Mean, median, and mode of grouped data.
25. Probability – Basic concepts and simple problems based on probability.