Uses the powerful interactive and visual approach of JMP to introduce readers to the logic and methods of statistical thinking and data analysis. It includes a myriad of examples and problems that rely on real sets of data, often starting with an important or interesting research question that an investigator has pursued.

- Copyright
- Preface
- Getting Started: Introduction to JMP
- Understanding Data
- Describing a Single Variable
- Describing Two Variables at a Time
- Elementary Probability and Discrete Distributions
- The Normal Model
- Sampling and Sampling Distributions
- Inference for a Single Categorical Variable
- Inference for a Single Continuous 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 Experimental Design
- Quality Improvement
- Data Sources
- Bibliography
- Index