Being an effective analyst or a well-informed consumer of analyses requires that you know how to properly define the problem, apply suitable statistical techniques, and clearly and honestly communicate the results. Being a well-informed consumer of analyses requires the same skills so that you can recognize them in action. Robert Carver's Practical Data Analysis with JMP uses the powerful interactive and visual approach of JMP to introduce readers to the logic and methods of statistical thinking and data analysis. The book can stand on its own as a learning resource or be used to supplement a standard introduction-to-statistics textbook. It includes a myriad of examples and problems that rely on real sets of data, often starting with an important or interesting research question that an investigator has pursued. Reflective of the broad applicability of statistical reasoning, the problems come from a wide variety of disciplines, including engineering, medicine, business, demography, among others, and include a number of international and historical examples. Practical Data Analysis with JMP helps you begin to engage in statistical thinking, discriminate among some fundamental statistical techniques, and perform data analysis. It introduces you to the major platforms and essential features of JMP and will leave you with a sufficient background and the confidence to continue your exploration independently.
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Robert Carver is Professor of Business Administration at Stonehill College in Easton, Massachusetts, as well as Adjunct Professor at the International Business School at Brandeis University in Waltham, Massachusetts. At both institutions he teaches courses on quantitative methods applicable to management in addition to general management courses that focus on business, social, and political dynamics. A JMP user since 2006, Carver holds an A.B. in political science from Amherst College in Amherst, Massachusetts, and an M.P.P. and a Ph.D. in public policy studies from the University of Michigan at Ann Arbor.
"Carver's Practical Data Analysis with JMP is valuable both for new students and for experienced users of statistics who are learning JMP. This step-by-step guide leads users into the richness of the software, without going into all its complexities. Its hands-on development also incorporates numerous sound observations about the practice of statistics, striking a balance between the needs of students new to the subject and the needs of mature practitioners. The numerous apt illustrations are a distinct asset." --Norton Starr, Brian E. Boyle Professor Emeritus, Amherst College
"With step-by-step descriptions and screenshots, Carver's book is a fairly self-contained supplement that illustrates the main techniques of a traditional first course. Students will appreciate the inclusion of practical skills such as importing data into JMP or exporting results to a word-processor document. Other welcome features include the variety of real-world datasets and sections that explicitly ask 'What are we assuming?' --Lawrence M. Lesser, The University of Texas at El Paso
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