Synopsis
Designed to help students gain sufficient knowledge of statistical methods to intelligently read quantitative research in fields ranging from chemistry to speech. No prior background in statistics or advanced mathematics in required. Sections emphasize the contrast between descriptive and hypothesis-testing. A new sample data set is included, and Cluster Analysis is added as a topic. Useful references include an index of key terms, a glossary of symbols, and appendices.
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Review
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.
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