Solution manual for Business Analytics, 5th Edition by Jeffrey D. Camm © 2024

Description

Overview

This Solution Manual is designed to support Business Analytics, 5th Edition by Jeffrey D. Camm and co-authors. It aligns with the core textbook used in top analytics courses and provides clear, step-by-step solutions to all key topics.

Ideal for students and professionals, this manual covers descriptive, predictive, and prescriptive analytics using tools such as Excel, Tableau, R, and Orange. It’s an essential aid for mastering complex analytical concepts and software applications.

Product Highlights

• Detailed solutions to all textbook problems

• Step-by-step guidance for Excel, R, Tableau, and Orange

• Covers core analytics models and real-world case studies

• Supports academic learning and self-paced review

Table of Contents

Chapter 1. Introduction to Business Analytics
Chapter 2. Descriptive Statistics
Chapter 3. Data Visualization
Chapter 4. Data Wrangling Techniques
Chapter 5. Introduction to Probability
Chapter 6. Descriptive Data Mining
Chapter 7. Statistical Inference Methods
Chapter 8. Linear Regression
Chapter 9. Time Series and Forecasting
Chapter 10. Predictive Mining: Regression
Chapter 11. Predictive Mining: Classification
Chapter 12. Spreadsheet Modeling
Chapter 13. Monte Carlo Simulations
Chapter 14. Linear Optimization Models
Chapter 15. Integer Optimization Models
Chapter 16. Nonlinear Optimization Models
Chapter 17. Decision Analysis

Case Problems

• Capital State University Game-Day Magazines

• Hanover Inc.

Appendices

• A: Excel Basics

• B: Microsoft Access Basics

• C: Solutions to Even-Numbered Problems

• D: Excel Online Tools for Analysis

• References

Book Details

• Authors: Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann

• Publisher: Cengage Learning

• Edition: 5th (April 3, 2023)

• Language: English

• ISBN-10: 0357902203

• ISBN-13: 9780357902202