Marija Norusis is a great writer who can clearly articulate complex statistical concepts that the average person can understand. Her writing style is very conversational without sacrificing technical accuracy. Although this book is designed to be used as an introductory statistics book in a college course, it also serves as an excellent SPSS user's guide. The author describes the logic of hypothesis testing, the concept of "statistical significance", and the general concepts behind data analysis that the new data analyst can easily understand.

Part I. Getting Started with SPSS
1. Introduction
2. An Introductory Tour of SPSS
3. Sources of Data

Part II. Describing Data
4. Counting Responses
5. Computing Descriptive Statistics
6. Comparing Groups
7. Looking at Distributions
8. Counting Responses for Combinations of Variables
9. Plotting Data

Part III. Testing Hypotheses
10. Evaluating Results from Samples
11. The Normal Distribution
12. Testing a Hypothesis about a Single Mean
13. Testing a Hypothesis about Two Related Means
14. Testing a Hypothesis about Two Independent Means
15. One-Way Analysis of Variance
16. Two-Way Analysis of Variance
17. Comparing Observed and Expected Counts
18. Nonparametric Tests

Part IV. Examining Relationships
19. Measuring Association
20. Linear Regression and Correlation
21. Testing Regression Hypotheses
22. Analyzing Residuals
23. Building Multiple Regression Models
24. Multiple Regression Diagnostics