ISBN-13 : 9781292093864
ISBN-10 : 1292093862
Language : English
Published : 2015-07-14
Pages : 672
For undergraduate and graduate operations management courses. A managerial approach to operations management Operations Management provides students with a comprehensive framework for addressing operational process and supply chain issues and uses a systemized approach while focusing on issues of current interest. The text has ample opportunities for students to experience the role of a manager with challenging problems, cases, simulations, experiential exercises, and tightly integrated online resources. MyOMLab is an online homework, tutorial, and assessment product designed to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts. Please note that the product you are purchasing does not include MyOMLab. MyOMLab Join over 11 million students benefiting from Pearson MyLabs. This title can be supported by MyOMLab, an online homework and tutorial system designed to test and build your understanding. Would you like to use the power of MyOMLab to accelerate your learning? You need both an access card and a course ID to access MyOMLab. These are the steps you need to take: 1. Make sure that your lecturer is already using the system Ask your lecturer before purchasing a MyLab product as you will need a course ID from them before you can gain access to the system. 2. Check whether an access card has been included with the book at a reduced cost If it has, it will be on the inside back cover of the book. 3. If you have a course ID but no access code, you can benefit from MyOMLab at a reduced price by purchasing a pack containing a copy of the book and an access code for MyOMLab (ISBN:9781292093987) 4. If your lecturer is using the MyLab and you would like to purchase the product… Go to www.myOMlab.com to buy access to this interactive study programme. For educator access, contact your Pearson representative. To find out who your Pearson representative is, visit www.pearsoned.co.uk/replocator
ISBN-13 : 9781292093864
Business Statistics in Practice, Seventh Edition provides a modern, practical and unique framework for teaching an introductory course in Business Statistics. The textbook employs realistic examples, continuing case studies and a business improvement theme to teach the material. The Seventh Edition features more concise and lucid explanations, an improved topic flow and a sensible use of the best and most compelling examples.
The new edition of Essentials of Business Statistics delivers clear and understandable explanations of core business statistics concepts, making it ideal for a one-term course in business statistics. The author team emphasize the importance of interpreting statistical results to make effective decisions to improve business processes. The text offers real applications of statistics that are relevant to today’s business students which can be seen in the continuing case studies throughout the book. Continuing cases span throughout a chapter or even groups of chapters, easing students into new topic areas.
About the Author
Bruce L. Bowerman is a professor of decision sciences at Miami University in Oxford, Ohio. He received his Ph.D. degree in statistics from Iowa State University in 1974, and he has over 37 years of experience teaching basic statistics, regression analysis, time series forecasting, survey sampling, and design of experiments to both undergraduate and graduate students. In 1987 Professor Bowerman received an Outstanding Teaching award from the Miami University senior class, and in 1992 he received and Effective Educator award from the Richard T. Farmer School of Business Administration. Together with Richard T. O’Connell, Professor Bowerman has written 11 textbooks. These include Forecasting and Time Series: An Applied Approach and Forecasting, Time Series, and Regression: An Applied Approach (also coauthored with Anne B. Koehler); The first edition of Forecasting and Time Series earned an Outstanding Academic Book award from Choice magazine.
Richard T. O’Connell is an associate professor of decision sciences at Miami University in Oxford, Ohio. He has more than 32 years of experience teaching basic statistics, statistical quality control and process improvement, regression analysis, time series forecasting, and design of experiments to both undergraduate and graduate business students. In 2000 Professor O’Connell received an Effective Educator award from the Richard T. Farmer School of Business Administration. Together with Bruce L. Bowerman, he has written seven textbooks. These include Forecasting and Time Series: An Applied Approach and Linear Statistical Models: An Applied Approach. He is one of the first college instructors in the United States to integrate statistical process control and process improvement methodology into his basic business statistics course. He (with Professor Bowerman) has written several articles advocating this approach.
James Burdeane “Deane” Orris J.B. Orris is a professor of management science at Butler University in Indianapolis, Indiana. He received his Ph.D. from the University of Illinois in 1971, and in the late 1970s with the advent of personal computers, he combined his interest in statistics and computers to write one of the first personal computer statistics packages—MICROSTAT. Over the past 20 years, MICROSTAT has evolved into MegaStat, which is an Excel add-in statistics program. In 1999 he wrote an Excel book (Essentials: Excel 2000 Advanced) and has done work in neural networks, spreadsheet simulation, and statistical analysis for many research projects. He has taught statistics and computer courses in the College of Business Administration of Butler University since 1971. He is a member of the American Statistical Association and is past president of the Central Indiana Chapter. In his spare time, Professor Orris enjoys reading, working out, and working in his woodworking shop.
Statistical data analysis is the backbone of sound business decision making. Finding the right tool to analyse a particular business problem is the key to such problem solving. Learning the fundamentals of statistical reasoning and data analysis – you will be on the way to becoming a better manager, analyst or economist. By providing a framework for solving statistical problems, this sixth edition of Australian Business Statistics teaches skills that you can use throughout your career. The book shows you how to analyse data effectively by focusing on the relationship between the kind of problem you face, the type of data involved and the appropriate statistical technique for solving the problem. Business Statistics 6e, emphasizes applications over theory. It illustrates how vital statistical methods and tools are for today’s managers and analysts and how to apply them to business problems using real-world data. Using a proven three-step Identify-Compute-Interpret (ICI) approach to problem solving, the text teaches you how to (1) IDENTIFY the correct statistical technique by focusing on the problem objective and data type; (2) COMPUTE the statistics doing them by hand and using Excel; and (3) INTERPRET results in the context of the problem. This unique approach enhances your comprehension and practical skills. The text’s vast assortment of data-driven examples, exercises, and cases covers the various functional areas of business, demonstrating the statistical applications that marketing managers, financial analysts, accountants, economists, and others use. Learning resources such as CourseMate maximize study time to help you achieve the results you want. Completely up-to-date, the sixth edition offers comprehensive coverage, current examples, and an increased focus on applications in the real world.