"A Chapman & Hall book."

Includes bibliographical references and index.

1. Introduction -- 2. Graphing Variables -- 3. Descriptive Representations of Data and Random Variables -- 4. Basic Statistical Inference -- 5. Simple Linear Regression -- 6. More on Simple Linear Regression -- 7. Multiple Regression Analysis -- 8. More on Multiple Regression -- 9. Analysis of Variance (ANOVA) -- 10. Other Topics.

"Through clear, step-by-step mathematical calculations, Applied Statistical Inference with MINITAB provides a solid understanding of how to apply statistical techniques using a statistical software program. It focuses on the concepts of confidence intervals, hypothesis testing, validating model assumptions, and power analysis." "After introducing some common terminology, the author explains how to create simple graphs using MINITAB and how to calculate descriptive statistics using both traditional hand computations and MINITAB. She then delves into statistical inference topics, such as confidence intervals and hypothesis testing, as well as linear regression, including the Ryan-Joiner test. Moving on to multiple regression analysis, the text addresses ANOVA, the issue of multicollinearity, assessing outliers, and more. It also provides a conceptual introduction to basic experimental design and one-way ANOVA. The final chapter discusses two-way ANOVA, nonparametric analyses, and time series analysis." "Taking a practical approach to statistics, this text shows how to implement basic inferential techniques in practice using MINITAB. It establishes the foundation for readers to build on work in more advanced inferential statistics."--BOOK JACKET.