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The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. Business Statistics: A Decision Making Approach provides students with an introduction to business statistics and to the analysis skills and techniques needed to make successful real-world business decisions. Written for students of all mathematical skill levels, the authors present concepts in a systematic and ordered way, drawing from their own experience as educators and consultants. Rooted in the theme that data are the starting point, Business Statistics champions the need to use and understand different types of data and data sources to be effective decision makers. This new edition integrates Microsoft Excel throughout as a way to work with statistical concepts and give students a resource that can be used in both their academic and professional careers.

Business Statistics, Global Edition

• Title Page


• Copyright Page


• About the Authors


• Brief Contents


• Contents


• Preface


• Acknowledgments


• Preface


• Chapter 1: The Where, Why, and How of Data Collection


• 1.1. What Is Business Statistics?


• Descriptive Statistics


• Inferential Procedures


• 1.2. Procedures for Collecting Data


• Primary Data Collection Methods


• Other Data Collection Methods


• Data Collection Issues


• 1.3. Populations, Samples, and Sampling Techniques


• Populations and Samples


• Sampling Techniques


• 1.4. Data Types and Data Measurement Levels


• Quantitative and Qualitative Data


• Time-Series Data and Cross-Sectional Data


• Data Measurement Levels


• 1.5. A Brief Introduction to Data Mining


• Data Mining?Finding the Important, Hidden Relationships in Data


• Summary


• Key Terms


• Chapter Exercises


• Chapter 2: Graphs, Charts, and Tables?Describing Your Data


• 2.1. Frequency Distributions and Histograms


• Frequency Distributions


• Grouped Data Frequency Distributions


• Histograms


• Relative Frequency Histograms and Ogives


• Joint Frequency Distributions


• 2.2. Bar Charts, Pie Charts, and Stem and Leaf Diagrams


• Bar Charts


• Pie Charts


• Stem and Leaf Diagrams


• 2.3. Line Charts, Scatter Diagrams, and Pareto Charts


• Line Charts


• Scatter Diagrams


• Pareto Charts


• Summary


• Equations


• Key Terms


• Chapter Exercises


• Case 2.1: Server Downtime


• Case 2.2: Hudson Valley Apples, Inc.


• Case 2.3: Pine River Lumber Company?Part 1


• Chap