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Applied Maths Solution Class 11 – ML Aggarwal

Class 11 ML Aggarwal Book.

INTRODUCTION

Applied Maths is a branch of mathematics that deals with mathematical methods and techniques that are applied to solve real-world problems in various fields. Mathematics is useful not only to engineering stream students, but it has wide use in higher studies in the fields of economics, commerce, social science, and even in liberal arts. Unlike pure mathematics, which focuses on abstract concepts and theories, applied mathematics aims to use mathematical tools to understand and solve practical problems that arise in other disciplines.

Mathematics is a beautiful and interesting branch of study and has widespread use in many areas of life. However, many students have an unnecessary fear of mathematics. Our efforts are to provide a logical sequence to develop and strengthen the concepts.

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HOW APPLIED MATHS IS HELPFUL FOR COMMERCE STUDENTS:

Applied Maths can be incredibly helpful for commerce students in several ways:

  1. Finance Analysis and Modeling: Commerce students often deal with financial data, such as budgets, investments, and financial statements. Applied mathematics provides tools for analyzing this data, developing models to predict future trends, and making informed decisions about investments, pricing strategies, risk management, and more.
  2. Optimization: Applied mathematics offers techniques for optimizing various aspects of business operations, such as production schedules, inventory management, resource allocation, and supply chain logistics. Commerce students can use optimization methods to maximize profits, minimize costs, and improve overall efficiency.
  3. Statistics and Data Analysis: Understanding statistical methods is essential for interpreting data and making informed decisions in commerce. Applied mathematics provides a framework for statistical analysis, hypothesis testing, regression analysis, and other techniques that are valuable for analyzing market trends, consumer behavior, and business performance.
  4. Risk Management: Commerce students need to understand and manage risks associated with financial investments, business operations, and market fluctuations. Applied Maths provides tools for quantifying and managing risks, such as probabilistic models, Monte Carlo simulations, and option pricing models.
  5. Decision Support System: Applied Maths plays a crucial role in developing decision support systems and business intelligence tools that help businesses make data-driven decisions. Commerce students can learn how to use mathematical models and algorithms to analyze complex data sets, identify patterns, and generate insights that support strategic planning and decision-making.

THE MAIN DIFFERENCES BETWEEN APPLIED MATHEMATICS AND CORE MATHEMATICS LIES IN THEIR FOCUS, SCOPE, AND APPLICATION:

  1. FOCUS:
  1. SCOPE:
  1. APPLICATION:

 Here we provide the solutions for CBSE Applied Maths problems for class 11 and 12 which is of specifics textbook “ML Aggarwal”. Applied Maths covers topics such as, calculus, differential equations, linear algebra, probability, statistics, and mathematical modeling, among others.

Here’s a general overview of some common topics covered in applied mathematics classes at the high school level:

Applied Maths Class 11 Chapters :

Chapter – 1Numbers
Chapter – 2Indices and logarithms
Chapter – 3Quantitative Aptitude
Chapter – 4Mensuration
Chapter – 5Sets and Relations
Chapter – 6Sequences and Series
Chapter – 7Permutations and Combination
Chapter – 8Logical Reasoning
Chapter – 9Functions
Chapter – 10Limits and Continuity
Chapter – 11Differentiation
Chapter – 12Probability
Chapter – 13Descriptive Statistics
Chapter – 14Compound Interest and Annuity
Chapter – 15Taxation
Chapter – 16Utility Bills
Chapter – 17Straight Line
Chapter – 18Circle and Parabola

Applied Maths Class 12 Chapters :

Chapter – 1Numbers, Quantifications and Numerical Applications
Chapter – 2Numerical Inequalities
Chapter – 3Matrices
Chapter – 4Determinants
Chapter – 5Differentiation
Chapter – 6Applications of Derivatives
Chapter – 7Integrals
Chapter – 8Differential Equations
Chapter – 9Probability
Chapter – 10Inferential Statistics
Chapter – 11Time – based Data
Chapter – 12Perpetuity, Sinking Funds and EMI
Chapter – 13Returns, Growth and Depreciation
Chapter – 14Linear programming

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