Quantitative Methods for Business 13th Edition Anderson Test Bank

Instant download Test Bank for Quantitative Methods for Business, 13th Edition, Anderson pdf docx epub after payment.

Product details:

• ISBN-10 ‏ : ‎ 1285866312
• ISBN-13 ‏ : ‎ 978-1285866314
• Author: James J. Cochran; David R. Anderson; Dennis J. Sweeney

You don’t have to be a mathematician to maximize the power of quantitative methods. Written for the current?or future?business professional, QUANTITATIVE METHODS FOR BUSINESS, 13E makes it easy for you to understand how you can most effectively use quantitative methods to make smart, successful decisions. The book’s hallmark problem-scenario approach guides you step by step through the application of mathematical concepts and techniques. Memorable real-life examples demonstrate how and when to use the methods found in the book, while instant online access provides you with Excel worksheets, LINGO, and the Excel add-in Analytic Solver Platform. The chapter on simulation includes a more elaborate treatment of uncertainty by using Microsoft Excel to develop spreadsheet simulation models. The new edition also includes a more holistic approach to variability in project management. Completely up to date, QUANTITATIVE METHODS FOR BUSINESS, 13E reflects the latest trends, issues, and practices from the field.

Table of contents:

• Chapter 1: Introduction
• Chapter 2: Introduction to Probability
• Chapter 3: Probability Distributions
• Chapter 4: Decision Analysis
• Chapter 5: Utility and Game Theory
• Chapter 6: Time Series Analysis and Forecasting
• Chapter 7: Introduction to Linear Programming
• Chapter 8: Linear Programming: Sensitivity Analysis and Interpretation of Solution
• Chapter 9: Linear Programming Applications in Marketing, Finance, and Operations Management
• Chapter 10: Distribution and Network Models
• Chapter 11: Integer Linear Programming
• Chapter 12: Advanced Optimization Applications
• Chapter 13: Project Scheduling: PERT/CPM
• Chapter 14: Inventory Models
• Chapter 15: Waiting Line Models
• Chapter 16: Simulation
• Chapter 17: Markov Processes

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