Practical data analysis with JMP
Understand the concepts and techniques of analysis while learning to reason statistically. Being an effective analyst requires that you know how to properly define a problem and apply suitable statistical techniques, as well as clearly and honestly communicate the results with information-rich visu...
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| Autor Corporativo: | |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Cary, North Carolina :
SAS Institute
2014.
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| Edición: | 2nd ed |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629412906719 |
Tabla de Contenidos:
- 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.
