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Master the concepts and techniques of statistical analysis using JMP
Practical Data Analysis with JMP, Third Edition, highlights the powerful interactive and visual approach of JMP to introduce readers to statistical thinking and data analysis. 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
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Produktbeschreibung
Master the concepts and techniques of statistical analysis using JMP

Practical Data Analysis with JMP, Third Edition, highlights the powerful interactive and visual approach of JMP to introduce readers to statistical thinking and data analysis. 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.


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Autorenporträt
Robert Carver is Professor Emeritus of Business Administration at Stonehill College in Easton, Massachusetts, and he recently retired as a senior lecturer at the Brandeis University International Business School in Waltham, Massachusetts. At both institutions, he was instrumental in establishing programs in Data Science and Business Analytics, taught courses on quantitative methods in addition to general management courses, and won teaching awards at both schools. His primary research interest is statistics education. A JMP user since 2006, Carver holds an AB in political science from Amherst College in Amherst, Massachusetts, and an MPP and PhD in public policy from the University of Michigan at Ann Arbor.