Practical data analysis with JMP /
This book uses the powerful interactive and visual approach of JMP to introduce readers to the logic and methods of statistical thinking and data analysis. It enables you to discriminate among and to use fundamental techniques of analysis, enabling you to engage in statistical thinking by analyzing...
Call Number: | Libro Electrónico |
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Main Author: | |
Format: | Electronic eBook |
Language: | Inglés |
Published: |
Cary, NC :
SAS Institute,
©2014.
|
Edition: | 2nd ed. |
Subjects: | |
Online Access: | Texto completo (Requiere registro previo con correo institucional) |
Table of Contents:
- 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.