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This brief introduction to business statistics balances a conceptual understanding of statistics with the real-world application of statistical methodology. The essentials version features selected core topics from the authors' market-leading Statistics for Business and Economics, 8th, presented in 13 chapters. It includes the highly-regarded strengths of the longer text, including the problem-scenario approach that uses real-world examples to introduce statistical techniques. Methods, Applications, and Self-Test exercises include hundreds of problems based on real data. Examples and exercises throughout focus on ways that statistics contribute to improving the quality of products and services. This text can also be computer integrated at the discretion of the instructor. Instruction for data analysis based on Microsoft Excel and MINITAB is included in appendices of appropriate chapters. Case problems are also provided with the text, with data sets available on disk for both MINITAB and Excel formats.
Finally a statistics text that not only does a great job covering statistical tools but also focuses on software and the use of the internet for statistical work! Unlike most current texts which merely add screen shots, the Kohler text has been designed around the integration of popular statistical software and the use of the internet so that readers receive thorough preparation with these tools. The book also provides a great deal of flexibility for designing your course sequence through its applications approach where students will learn when to use certain techniques and how to interpret results to help in decision making, its modern approach giving a thorough integration of computer use, and a modular writing style.
Why make statistics harder than it has to be? Lind/Marchal/Mason: STATISTICAL TECHNIQUES IN BUSINESS AND ECONOMICS, 11/e is a perennial market best seller due to its comprehensive coverage of statistical tools and methods delivered in a student friendly, step-by-step format. The text is non-threatening and presents concepts clearly and succinctly with a conversational writing style. All statistical concepts are illustrated with solved applied examples immediately upon introduction. Modern computing tools and applications are introduced, but the text maintains a focus on presenting statistics content as oppose to technology or programming methods, and the eleventh edition continues as a ‘students’ text with increased emphasis on interpretation of data and results.lts.