Looking for Quantitative Techniques – II Notes PDF to prepare for your exams? You’re in the right place! Whether you’re a BBA, B.Com, BCA, MBA, or Economics student or preparing for competitive exams like CAT, SSC, NET, or MBA entrances, these well-organized, easy-to-understand QT-II notes are perfect for building your quantitative and analytical skills.
In this article, you’ll get:
Free downloadable PDF notes for each unit
Clear explanations in simple English
Topics covering the complete syllabus
Best study material for quick revision
Explore the units below for detailed content. Want’s to explore more subjects – Study Hub Zone
What is Quantitative Techniques – II?
Quantitative Techniques – II is a continuation of quantitative methods used for business decision-making, involving advanced mathematical models and statistical techniques such as linear programming, decision theory, and simulation. These tools help solve real-life business and economic problems effectively.
These notes will help you understand topics like:
Linear Programming (LPP)
Transportation and Assignment Problems
Game Theory
Decision Theory
Simulation Techniques
Queuing Theory
Network Analysis (PERT/CPM)
Why Use Our Quantitative Techniques – II Notes?
👉 100% Syllabus Covered
👉 Designed for BBA/B.Com/Statistics/MBA/Analytics students
👉 Based on the Latest University & Competitive Exam Syllabus
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👉 Perfect for Theory + Numerical Practice + Exam Prep
Download Quantitative Techniques – II Notes PDF – Unit Wise
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Course Units
Unit 1: Probability and Probability Distributions
Topics Covered: The fundamentals of probability including classical and empirical approaches, laws of addition and multiplication, conditional probability, Bayes’ theorem, and key probability distributions like Binomial, Poisson, and Normal with business applications.
Unit 2: Index Numbers and Their Applications
Topics Covered: Explains the meaning, types, and uses of index numbers, methods of construction such as Laspeyres’, Paasche’s, and Fisher’s Index, cost of living index, and discusses limitations and challenges in using index numbers for economic analysis.
Unit 3: Time Series Analysis and Forecasting
Topics Covered: Focuses on components of time series data—trend, seasonal, cyclical, and irregular variations—and methods for trend measurement like moving averages and least squares for effective business forecasting.
Unit 4: Decision Theory and Risk Analysis
Topics Covered: Introduces decision-making under certainty, risk, and uncertainty using tools like payoff tables, decision trees, and criteria such as expected value, Maximin, Maximax, and Minimax regret for business strategy evaluation.
Unit 5: Linear Programming and Optimization Techniques
Topics Covered: The formulation of Linear Programming Problems (LPP), assumptions, and real-world applications, including graphical methods for solving maximization and minimization problems, with a basic introduction to the simplex method.
Final Thoughts
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