Practical data analysis with JMP /

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Uses the powerful interactive and visual approach of JMP to introduce readers to the logic and methods of statistical thinking and data analysis. 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 in...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Carver, Robert
Collectivité auteur: SAS Institute
Format: Électronique eBook
Langue:Inglés
Publié: Cary, N.C. : SAS Institute, ©2010.
Sujets:
JMP (Computer file)
Statistics > Graphic methods.
Mathematical statistics > Graphic methods.
Mathematical statistics > Data processing.
Mathematics > methods
Software
Data Interpretation, Statistical
Statistique > Méthodes graphiques.
Statistique mathématique > Informatique.
Logiciels.
software.
MATHEMATICS > Probability & Statistics > General.
Mathematical statistics > Data processing
Mathematical statistics > Graphic methods
Statistics > Graphic methods
Accès en ligne:Texto completo (Requiere registro previo con correo institucional)
Table des matières:
  • Getting started : introduction to JMP
  • Understanding data
  • Describing a single variable
  • Describing two variables at a time
  • Elementary probability and discrete distributions
  • The normal mode
  • Sampling and sampling distributions
  • Inference for a single categorical variable
  • Inference for a single continous variable
  • Two-sample inference for a continuous variable
  • Chi-square tests
  • Analysis of variance
  • Simple linear regression
  • Regression conditions and estimation
  • Multiple regression
  • Categorical and non-linear regression models
  • Basic forecasting techniques
  • Elements of experiemental design
  • Quality improvement.

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