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Practical data analysis with JMP [electronic resource] / Robert Carver.

By: Carver, Robert.
Contributor(s): SAS Institute.
Material type: TextTextPublisher: Cary, N.C. : SAS Institute, c2010Description: 1 online resource (xvi, 379 p.) : ill.ISBN: 9781607644873 (electronic bk.); 1607644878 (electronic bk.).Subject(s): JMP (Computer file) | Statistics -- Graphic methods | Mathematical statistics -- Graphic methods | Mathematical statistics -- Data processing | MATHEMATICS -- Probability & Statistics -- General | JMP (Computer file) | Statistics / Graphic methods | Mathematical statistics / Graphic methods | Mathematical statistics / Data processing | Statistics / Graphic methods | Mathematical statistics / Graphic methods | Mathematical statistics / Data processingGenre/Form: Electronic books.Additional physical formats: Print version:: Practical data analysis with JMP.DDC classification: 519.5 Online resources: EBSCOhost
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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Includes bibliographical references (p. [365]-367) and index.

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.

Description based on print version record.

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Practical data analysis with JMP by Carver, Robert. ©2010
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