NCERT Solutions for Class 8 Maths Chapter 7 Proportional Reasoning 1 - Exercise 7.3

Mastering complex relationships between multiple variables is simple with our NCERT Solutions for Class 8 Maths Ch 7: Proportional Reasoning – Exercise 7.3. This exercise moves beyond simple pairs to "Compound Proportion," where one quantity depends on two or more others. You will learn how to handle scenarios involving workers, hours per day, and total days to complete a task.

Class 8 Math Lessons (Ch 7): Learn to Solve Complex Work and Time Problems with Ease! The solutions to Exercise 7.3 will be presented in a step-by-step approach to help students use the chain rule or table method for multiple variables. These solutions follow CBSE Guidelines to help you master problems related to industrial output, construction timelines, and resource management.

1.0Download NCERT Solutions for Class 8 Maths Chapter 7 Ex 7.3 : Free PDF

You can download our simple NCERT Solutions for Class 8 Maths Chapter 7 Exercise 7.3 as a PDF. Ideal for rapid reference and offline study.

2.0Key Concepts of Chapter 7 Proportional Reasoning 1 Exercise 7.3

• Compound Proportion: A situation where a variable depends on the product or ratio of two or more other variables.
• The Man-Day-Hour Formula: A standard tool for work problems:

$\frac{M_1{D}_1{H}_1}{W_1}=\frac{M_2{D}_2{H}_2}{W_2}$
(Where M = Men, D = Days, H = Hours, and W = Work).

• Combined Variation: Understanding that work done is directly proportional to the number of workers and time, but time is inversely proportional to the number of workers for a fixed amount of work.

3.0NCERT Solutions for Class 8 Maths Chapter 7 Proportional Reasoning 1 : All Exercises

4.0Benefits of NCERT Solutions for Class 8 Maths Chapter 7 Exercise 7.3

• Systematic Approach: Teaches students how to keep track of three or more variables without getting confused.
• Real-world Utility: Essential for understanding project management and efficiency in professional fields.
• Logical Reasoning: Sharpens the ability to identify multiple types of variations (Direct and Inverse) occurring in a single problem.