The book is known for its comprehensive coverage of statistical concepts and methods delivered in a student-friendly,step-by-step format. The text is non-threatening and presents concepts clearly and succinctly with a conversational writing style. All statistical concepts are illustrated with solved applied examples immediately upon introduction. Self reviews and exercises for each section, and review sections for groups of chapters also support the student learning steps. Modern computing applications (Excel, Minitab, and MegaStat) are introduced.

Key Features
* Straightforward step-by-step presentation, supported by solved examples, self reviews, exercises and review sections.
* Larger data sets, with the files included on CD, and exercises aimed at using technology resources make this a practical and modern text. Realistic and relevant applications, optional computer and web-based exercises, and the wealth of resources on the Student CD provide students with a motivating, applied, learning experience.
* Z Versus T: The division between the z and t distributions is based on sigma known or unknown rather than on sample sizes
* Multiple Regression: Treatment includes an investigation of the theory behind the linear model along with tests for the violation of each assumption.

Table of Contents
1. What is Statistics?
2. Describing Data: Frequency Distributions and Graphic Presentation
3. Describing Data: Numerical Measures
4. Describing Data: Displaying and Exploring Data
5. A Survey of Probability Concepts
6. Discrete Probability Distributions
7. Continuous Probability Distributions
8. Sampling Methods and the Central Limit Theorem
9. Estimation and Confidence Intervals
10. One-Sample Tests of Hypothesis
11.Two-Samples Tests of Hypothesis
12. Analysis of Variance
13. Linear Regression and Correlation
14. Multiple Regression and Correlation Analysis
15. Nonparametric Methods: Chi-Square Applications
16. Nonparametric Methods: Analysis of Ranked Data
17. Statistical Quality Control
18. Index Numbers
19. Time Series and Forecasting
20. An Introduction to Decision Theory
Appendixes
Answers to Odd-Numbered Chapter Exercises
Answers to Odd-Numbered Review Exercises
Photo Credits
Index