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JMP start statistics : a guide to statistics and data analysis using JMP /

JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, Fourth Edition, is a complete and orderly introduction to analyzing data using JMP statistical discovery software from SAS. A mix of software manual and statistics text, this book provides hands-on tutorials with just the right...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Sall, John
Otros Autores: Creighton, Lee, Lehman, Ann
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cary, NC : SAS Institute, 2007.
Edición:4th ed.
Colección:SAS Press series.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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504 |a Includes bibliographical references (pages 557-560) and index. 
505 0 |a Preliminaries -- JMP right in -- Data tables, reports, and scripts -- Formula editor adventures -- What are statistics? -- Simulations -- Univariate distributions: one variable, one sample -- The difference between two means -- Comparing many means: one-way analysis of variance -- Fitting curves through points: regression -- Categorical distributions -- Categorical models -- Multiple regression -- Fitting linear models -- Bivariate and multivariate relationships -- Design of experiments -- Exploratory modeling -- Discriminant and cluster analysis -- Statistical quality control -- Time series -- Machines of fit. 
588 0 |a Print version record. 
520 |a JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, Fourth Edition, is a complete and orderly introduction to analyzing data using JMP statistical discovery software from SAS. A mix of software manual and statistics text, this book provides hands-on tutorials with just the right amount of conceptual and motivational material to illustrate how to use JMP's intuitive interface for data analysis. Each chapter features concept-specific tutorials, examples, brief reviews of concepts, step-by-step illustrations, and exercises. Written by John Sall, Lee Creighton, and Ann Lehman, this book is a great tool for statistics students or practitioners needing a software-related statistics review. 
542 |f Copyright © 2007 SAS Institute Inc  |g 2007 
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