Practical data analysis with JMP
Robert H. Carver
- 2nd ed.
- Cary, NC : SAS Institute, 2014.
- xxiv, 460 pages : illustrations ; 24 cm.
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.