FEATURES:

Discovering Statistics, 2nd Edition has a few new features that have been designed to expand the student learning.  These features include:

“Now You Can Do” margin references are an upgrade to most of the Examples in the text.  These references help students identify which Examples support the end-of-section Exercises.  With this unique feature, students will know which Example to refer to when needing help solving the problem.  Instructors will also know which set of exercises are linked to the Examples.

“Bringing It All Together” end-of-section exercises, located within the “Applying the Concepts”, offer the option for instructors to assign questions that bring together everything the students have learned in a particular section.

“Step-by-Step” Guide to Technology, showing students how to use TI, Excel, and Minitab, now includes complete coverage of W. H. Freeman’s online statistical analysis program CrunchIT. <hyperlink CrunchIT to www.whfreeman.com/crunchit>

The “Big Picture” chapter-opening feature now has a bulleted list format, making it easier for students to quickly see the most important highlights for each chapter.


TABLE OF CONTENTS:

Discovering Statistics has 13 Chapters

TABLE OF CONTENTS:

Discovering Statistics

1. The Nature of Statistics
2. Describing Data Using Graphs and Tables
3. Describing Data Numerically
4. Correlation and Regression
5. Probability
6. Probability Distribution
7. Sampling Distributions
8. Confidence Intervals
9. Hypothesis Testing
10. Two-Sample Inference
11. Categorical Data Analysis
12. Analysis of Variance (In Chapter 11 of the Brief Version)
13. Regression Analysis (No multivariable content, other content moved to Chapter 4 in the Brief Version)

Additional Chapter: Non Parametric (available online and on CD and through custom printing)

Discovering Statistics: Brief Version has 11 Chapters

1. The Nature of Statistics
2. Describing Data Using Graphs and Tables
3. Describing Data Numerically
4. Describing the Relationship Between Two Variables (includes Regression)
5. Probability
6. Random Variables and the Normal Distribution
7. Sampling Distributions
8. Confidence Intervals
9. Hypothesis Testing
10. Two-Sample Inference
11. Further Inference Models

Additional Chapter: Non Parametric (available online and through custom printing)