Practical data analysis with JMP
By: Carver, Robert H
Material type: BookPublisher: Cary, NC : SAS Institute, 2014.Edition: 2nd ed.Description: xxiv, 460 pages : illustrations ; 24 cm.ISBN: 9781612908236; 1612908233Subject(s): Statistics -- Graphics methods | Mathematical statisitcs -- Data processingDDC classification: 519.5 CA PR Online resources: Location MapItem type | Home library | Call number | Status | Date due | Barcode | Item holds |
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REGULAR | University of Wollongong in Dubai Main Collection | 519.5 CA PR (Browse shelf) | Available | T0058773 |
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519.5 BR UN Understanding basic statistics : | 519.5 BU PR Practical statistics : | 519.5 CA IN An introduction to statistics : | 519.5 CA PR Practical data analysis with JMP | 519.5 DA BU Business statistics using Excel / | 519.5 DA BU Business statistics using Excel / | 519.5 DA BU Business statistics using Excel / |
Includes bibliographical references (p. [445]-448) and index.
Getting started : data analysis with JMP -- Data sources and structures -- Describing a single variable -- Describing two variables at a time -- Review of descriptive statistics -- Elementary probability and discrete distributions -- The normal model -- Sampling and sampling distributions -- Review of probability and probabilistic sampling -- Inference for a single categorical variable -- Inference for a single continuous variable -- Chi-square tests -- Two-sample inference for a continuous variable -- Analysis of variance -- Simple linear regression inference -- Residuals analysis and estimation -- Review of univariate and bivariate inference -- Multiple regression -- Categorical, curvilinear, and non-linear regression models -- Basic forecasting techniques -- Elements of experimental design -- Quality improvement.