Possible ex library copy, will have the markings and stickers associated from the library. Accessories such as CD, codes, toys, may not be included. Condition: POOR. Noticeably used book. Heavy wear to cover. Pages contain marginal notes, underlining, and or highlighting.
Accessories such as CD, codes, toys, and dust jackets may not be included. Published by Cengage South-Western, Used - Softcover Condition: Very Good. Condition: Very Good. No Jacket. May have limited writing in cover pages.
Pages are unmarked. Used - Softcover Condition: Good. Condition: Good. Spine may show signs of wear. Published by South-Western College Pub , Item is in good condition.
Some moderate creases and wear. This item may not come with CDs or additional parts including access codes for textbooks. Photos are stock pictures and not of the actual item.
Hildebrand; Patricia J. Hildebrand; R. Lyman Ott; J. Used - Softcover Condition: UsedAcceptable. Condition: UsedAcceptable. Published by Cengage Learning, New - Softcover Condition: new. The real-life applications and examples throughout challenge students to think like managers.
The case that concludes every chapter asks students to deal with a relatively unstructured situation and to explain the statistical reasoning in nontechnical language. Modern statistical methods, including resampling and bootstrapping are included. In addition, the authors emphasize quality control and improvement throughout the book and include three full chapters on regression and correlation methods.
Author : R. Business students need the ability to think statistically about how to deal with uncertainty and its effect on decision-making in business and management. Traditional statistics courses and textbooks tend to focus on probability, mathematical detail, and heavy computation, and thus fail to meet the needs of future managers. Statistical Thinking in. Contains the complete solutions for the answers provided in the back of the book.
Author : Michael J. Conroy,James T. This book is intended for use by natural resource managers andscientists, and students in the fields of natural resourcemanagement, ecology, and conservation biology, who are confrontedwith complex and difficult decision making problems. The book takesreaders through the process of developing a structured approach todecision making, by firstly deconstructing decisions into componentparts, which are each fully analyzed and then reassembled to form aworking decision model.
The book integrates common-senseideas about problem definitions, such as the need for decisions tobe driven by explicit objectives, with sophisticated approaches formodeling decision influence and incorporating feedback frommonitoring programs into decision making via adaptive management. There is also a series of detailedtechnical appendices. An accompanying website providescomputer code and data used in the worked examples.
Author : Walter R. It helps you choose the best technique for the problem at hand by using real-world cases. It also illustrates best-practice workflow throughout the entire investigative cycle, from asking valuable questions through data acquisition, preparation, analysis, interpretation, and communication of findings.
The book can stand on its own as a learning resource for professionals, or it can be used to supplement a college-level textbook for an introductory statistics course.
It includes varied examples and problems using real sets of data. Each chapter typically starts with an important or interesting research question that an investigator has pursued. Reflecting the broad applicability of statistical reasoning, the problems come from a wide variety of disciplines, including engineering, life sciences, business, and economics, as well as international and historical examples.
Application Scenarios at the end of each chapter challenge you to use your knowledge and skills with data sets that go beyond mere repetition of chapter examples. New in the third edition, chapters have been updated to demonstrate the enhanced capabilities of JMP, including projects, Graph Builder, Query Builder, and Formula Depot. It contains key formulas, knowledge checks at the end of each topic, study tips, and practice questions providing candidates with what they need to pass the CMA Exam.
Also included is access to the CMA test bank which contains over 2, questions. Brian Gray. Hildebrand,Lyman Ott. Statistical Thinking for Managers J. Statistical Thinking for Managers David K.
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