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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Bibliographic Details
Main Author: Carver, Robert (-)
Corporate Author: SAS Institute (-)
Other Authors: SAS Institute Contributor (contributor)
Format: eBook
Language:Inglés
Published: Cary, N.C. : SAS Institute 2010
Edition:1st edition
Subjects:
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
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628024306719
Table of Contents:
  • 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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