MBA-202 YCMOU Guess Paper, Solved PYQs, Notes 2026-27

MBA-202 Quantitative Techniques in Management: Your Strategic Edge for TEE and Continuous Assessment

YCMOU’s MBA-202 syllabus demands precision in statistical analysis, optimization models, and data-driven decision-making—but mastering these concepts requires more than theory. The MBA-202 Guess Paper, Solved PYQs, and Notes (2026-27) package eliminates uncertainty by providing exact Term-End Exam (TEE) question patterns from 2024 and 2025, complete with YCMOU-verified model answers. This resource is designed to align with your Continuous Assessment (CA) requirements, ensuring 80% of your practice questions mirror the weighting of your home assignments (गृहपाठ) and term-end exams.

Course Overview & Academic Objectives

MBA-202 Quantitative Techniques in Management is a core course for YCMOU’s MBA program, focusing on:

• Statistical decision-making for business problems (Chapter 2: Probability Distributions)
• Linear programming and network models (Chapter 4: Operations Research)
• Time-series forecasting for demand planning (Chapter 5: Time Series Analysis)
• Non-parametric tests and hypothesis validation (Chapter 3: Statistical Inference)

The course emphasizes application over rote memorization, requiring students to solve real-world scenarios such as inventory optimization (Chapter 6: Inventory Control) and project scheduling (Chapter 7: PERT/CPM). This resource bridges the gap between theory and exam execution by providing step-by-step solutions to past papers, including calculations for regression coefficients (R² = 0.85+) and critical values for t-tests (df=20).

Key Syllabus Modules & Chapter Breakdown

Each solved PYQ is categorized by chapter and weightage, ensuring targeted preparation:

• Chapter 1: Introduction to Quantitative Techniques
  • 2025 TEE Question 3: Explain the role of QTM in strategic management (20 marks) – Includes YCMOU’s preferred case study on supply chain optimization.
  • CA Home Assignment (गृहपाठ) link: Short-answer questions on decision trees (5 marks).
• Chapter 3: Statistical Inference
  • 2024 TEE Question 7: Test the hypothesis (α=0.05) for a sample mean (X̄=120, σ=15, n=30) – Solution includes SPSS output screenshots for visualization.
  • Notes highlight YCMOU’s emphasis on Type I vs. Type II errors in business contexts.
• Chapter 5: Time Series Analysis
  • 2026 Draft Paper (Predicted): Forecast demand using exponential smoothing (α=0.3) – Step-by-step Excel template provided.
  • CA Focus: Interpretation of moving averages (3-year vs. 5-year) with real-world examples from Maharashtra’s agriculture sector.
• Chapter 7: PERT/CPM
  • 2025 TEE Question 12: Critical path calculation for a construction project (6 activities, 4 critical) – Includes Gantt chart template for PRN submission.
  • Notes explain YCMOU’s preference for network diagrams over bar charts in answers.

Continuous Assessment & Exam Utility

This resource is structured to maximize your CA and TEE marks:

• CA Home Assignment (गृहपाठ) Alignment
  • Solved examples for short-answer questions (10 marks) on probability distributions and correlation coefficients.
  • Long-answer practice for case studies (20 marks) with YCMOU’s expected answer length (1.5–2 pages).
• Term-End Exam (TEE) Preparation
  • 2024–2025 TEE papers with exact marking scheme breakdown (e.g., 12 marks for regression analysis, 8 marks for hypothesis testing).
  • Predicted 2026 TEE questions based on YCMOU’s frequently tested topics (e.g., ANOVA, Chi-square tests).
  • Model answers include YCMOU’s preferred terminology, such as