RD Sharma is a popular name when we talk about Mathematics. He is not just a decorated Maths teacher but a prominent author of many maths reference books that are used mainly in the Central Board of Secondary Education (CBSE).
RD Sharma textbooks for Maths today are a popular choice not only for students but also for others who prepare for competitive exams. These solutions enable the students to have a good understanding of basic as well as advanced concepts. It also helps students in retaining and remembering the concepts easily.
The RD Sharma book and the solutions offered are the best resources that students can utilize to develop better analytical skills or get much better at solving problems. This is one of the best Maths reference books in an organized set of information for all the concepts that eventually help students to take their preparation to a higher level. Students will be able to handle all types of questions from easy to difficult ones during exams.
RD Sharma Class 9 solutions that are provided here, are easily understandable and designed by experienced subject experts in such a way, to help Class 9 students clear all their confusions that they might face while solving the exercise problems.
All the Important topics like Differentiation, Integrals, Probability are covered here.
Chapters of RD Sharma Solutions for Class 9
Chapter 2 Exponents of Real Numbers
Chapter 4 Algebraic Identities
Chapter 5 Factorisation of Algebraic Expressions
Chapter 6 Factorisation of Polynomials
Chapter 7 Introduction to Euclid’s Geometry
Chapter 8 Lines and And Angles
Chapter 9 Triangles and its Angles
Chapter 10 Congruent Triangles
Chapter 11 Coordinate Geometry
Chapter 13 Linear Equations in Two Variables
Chapter 15 Area of Parallelograms and Triangles
Chapter 18 Surface Area and Volume of a Cuboid and Cube
Chapter 19 Surface Area And Volume of a Right Circular Cylinder
Chapter 20 Surface Area And Volume of A Right Circular Cone
Chapter 21 Surface Area and Volume of a Sphere
Chapter 22 Tabular Representation of Statistical Data
Chapter 23 Graphical Representation of Statistical Data