Measures of Central Tendency: Mean, Median, Mode

Measures of Central Tendency: Mean, Median, Mode

This document covers detailed exploration of central tendency measures including arithmetic, geometric, and harmonic means with calculation methods and real-world applications. Covers median determination, quartiles, deciles, percentiles, and mode identification. Provides comprehensive comparison of when to use each measure, their merits and limitations, with practical illustrations for business decision-making scenarios.

Quantitative Techniques – Scientific Management and Sampling Methods

Quantitative Techniques – Scientific Management and Sampling Methods

Comprehensive introduction to quantitative techniques covering historical development from Fredrick Taylor’s scientific management principles. Explores statistical analysis fundamentals including data types, sampling methods, frequency distributions, and data presentation techniques. Covers primary/secondary data collection, various sampling approaches, classification methods, and graphical presentation tools including histograms, charts, and diagrams.

Duality in Linear Programming: Concepts and Applications

Duality in Linear Programming: Concepts and Applications

This document introduces the concept of duality in linear programming—linking primal and dual problems for enhanced managerial insights. Explains the significance of shadow prices, rules for converting problems, and the economic impact of resource changes. Provides stepwise dual formation and real-world dual analysis examples.

Special Cases in Simplex Method and Case Studies

Special Cases in Simplex Method and Case Studies

This document focuses on special solution conditions in the simplex method like degeneracy, unboundedness, multiple optima, and infeasibility. Teaches sensitivity analysis, shadow price interpretation, and practical application through complex real-world case studies, strengthening understanding of LPP solutions under varied scenarios.

Advanced Simplex Methods: Big M and Two Phase Techniques

Advanced Simplex Methods: Big M and Two Phase Techniques

This document describes advanced simplex methods—Big M and Two Phase—for solving LPPs with ≥ or = constraints. Outlines the use of artificial variables for infeasible starts, assigns penalty parameters, and details stepwise solutions using both methods with case studies, clarifying approaches for complexities in linear programming.