Practical data analysis with JMP

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. 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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Detalles Bibliográficos
Autor principal: Carver, Robert (-)
Autor Corporativo: SAS Institute (-)
Otros Autores: SAS Institute Contributor (contributor)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cary, N.C. : SAS Institute 2010
Edición:1st edition
Materias:
JMP (Computer file)
Statistics > Graphic methods.
Mathematical statistics > Graphic methods.
Mathematical statistics > Data processing.
Mathematics > methods.
Software.
Data Interpretation, Statistical.
Statistics > Graphic methods
Mathematical statistics > Graphic methods
Mathematical statistics > Data processing
Mathematical Statistics
Mathematics
Physical Sciences & Mathematics
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628024306719
Tabla de Contenidos:
  • 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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