This text is designed to help students become knowledgeable readers of cross-curriculum quantitative research literature. It provides a clear inviting view of quantitative research strategies for those students who may or may not have a mathematical background. The authors impart a conceptual understanding rather than teach calculational methods. The text can be used as a supplement for a basic statistics course or for any course requiring students to read and digest quantitative research literature. Examples are cross-curriculum and generic. Its strength is that it is very brief and doesn't overwhelm with too much detail.

### Table of Contents

Part I: On Conducting Quantitative Research.

1. Why Do Quantitative Research?

2. Statistics and Research.

Part II: Descriptive Statistics.

3. Levels of Measurement.

4. Describing Distributions.

Part III: Population Statistics.

5. Predicting Parameters.

6. Testing Hypotheses.

Part IV: Analyses of Differences.

7. The Test.

8. Single-Factor Analysis of Variance.

9. Multiple-Factor Analysis of Variance.

10. Nonparametric Tests.

Part V: Analysis of Relationships.

11. Correlation.

12. Regression.

13. Multiple Regression.

Part VI: Analyses of Complex Differences and Relationships.

14. Factor Analysis.

15. Discriminant Analysis.

16. Time-Series Analysis.