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For courses in Business Statistics.
Statistics for Business and Economics enables students to conduct serious analysis of applied problems rather than running simple ‘canned’ applications. This text is also at a mathematically higher level than most business statistics texts and provides students with the knowledge they need to become stronger analysts for future managerial positions. In this regard, it emphasises an understanding of the assumptions that are necessary for professional analysis. In particular, it has greatly expanded the number of applications that utilise data from applied policy and research settings.
The 9th Edition of this book has been revised and updated to provide students with improved problem contexts for learning how statistical methods can improve their analysis and understanding of business and economics. This revision recognises the globalisation of statistical study and in particular the global market for this book. Features
Data Sets: A number of large data sets containing Taiwan’s real estate measures, automobile fuel consumption, health data, the HEI Cost Data Variable Subset (which Includes the Healthy Eating Index, a measure of diet quality developed by the Economic Research Service and computed for each individual in the survey), New York’s air quality index, and more are described in detail at the end of the chapters where they are used in
Applying Concepts: It is important for students to know statistical concepts and apply those to different situations they face everyday or will face as managers of the future.
Examples have been added to almost all sections that illustrate the application of the concepts or methods of that section to a real-world context (even though the company or organisation may be hypothetical).
Problems are structured to present the perspective of a decision maker and the analysis provided is to help understand the use of statistics in a practical way.
Case Studies. Several case studies provide students with the opportunity to extend their statistical understanding to the context of research and analysis conducted by professionals.
Promoting Problem Analysis: Students need to be prepared with the statistical techniques that they will use in business
The section exercises begin with straightforward exercises targeted at the topics in each section. These are designed to check understanding of specific topics. It is easy to turn back to the chapter to clarify a concept or review a method.
The chapter exercises and applications lead to conclusions about the real world and are more application-based. They usually combine concepts and methods from different sections.
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For courses in Business Statistics.
Statistics for Business and Economics enables students to conduct serious analysis of applied problems rather than running simple ‘canned’ applications. This text is also at a mathematically higher level than most business statistics texts and provides students with the knowledge they need to become stronger analysts for future managerial positions. In this regard, it emphasises an understanding of the assumptions that are necessary for professional analysis. In particular, it has greatly expanded the number of applications that utilise data from applied policy and research settings.
The 9th Edition of this book has been revised and updated to provide students with improved problem contexts for learning how statistical methods can improve their analysis and understanding of business and economics. This revision recognises the globalisation of statistical study and in particular the global market for this book. Features
Data Sets: A number of large data sets containing Taiwan’s real estate measures, automobile fuel consumption, health data, the HEI Cost Data Variable Subset (which Includes the Healthy Eating Index, a measure of diet quality developed by the Economic Research Service and computed for each individual in the survey), New York’s air quality index, and more are described in detail at the end of the chapters where they are used in
Applying Concepts: It is important for students to know statistical concepts and apply those to different situations they face everyday or will face as managers of the future.
Examples have been added to almost all sections that illustrate the application of the concepts or methods of that section to a real-world context (even though the company or organisation may be hypothetical).
Problems are structured to present the perspective of a decision maker and the analysis provided is to help understand the use of statistics in a practical way.
Case Studies. Several case studies provide students with the opportunity to extend their statistical understanding to the context of research and analysis conducted by professionals.
Promoting Problem Analysis: Students need to be prepared with the statistical techniques that they will use in business
The section exercises begin with straightforward exercises targeted at the topics in each section. These are designed to check understanding of specific topics. It is easy to turn back to the chapter to clarify a concept or review a method.
The chapter exercises and applications lead to conclusions about the real world and are more application-based. They usually combine concepts and methods from different sections.