Statistics and Data Interpretation for the Helping Professions / Edition 1

Statistics and Data Interpretation for the Helping Professions / Edition 1

by James A. Rosenthal
Pub. Date:
Cengage Learning

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Statistics and Data Interpretation for the Helping Professions / Edition 1

This step-by-step guide to using statistics in the helping professions provides readers with a student-friendly pace as well as practical case examples. Students will see how statistics and data analysis can be used as a valuable tool in real-life situations they are likely to encounter in their helping profession careers. This all-in-one text not only presents the statistics material, but also includes exercises and problems providing students with the opportunity to practice their skills.

Product Details

ISBN-13: 9780830415090
Publisher: Cengage Learning
Publication date: 12/04/2000
Pages: 544
Product dimensions: 7.38(w) x 9.40(h) x 0.98(d)

Table of Contents

Part I: Introduction and the Presentation of Data. 1. Introduction and Overview. 2. More Basics and the Presentation of Data. Part II: Descriptive Procedures for One Variable. 3. Central Tendency. 4. Variability. 5. Shape of Distribution and Important Distributions. Part III: Association Between Two Variables. 6. The Concept of Relationship and Relationship Between Categorical Variables. 7. The Odds Ratio and Other Measures for Nominal-level Variables. 8. Correlation and Regression. 9. More Measures of Size of Association. Part IV: Causal and Noncausal Relationships. 10. The Assessment of Causality. 11. Controlling for Confounding Variables. Part V: Inferential Statistics: Basic Concepts and Beginning Applications. 12. An Introduction to Inferential Statistics. 13. Confidence Intervals for Means and Proportions. 14. The Logic of Statistical Significance Tests. 15. The Large Sample Test of the Mean and New Concepts. 16. Statistical Power and Selected Topics. Part VI: Selected Statistical Significance Tests. 17. The t Distribution and One-sample Procedures for Means. 18. Independent Samples t Test and Dependent Samples t Test. 19. Single Sample Tests of Proportions. 20. The Chi-square Test of Independence. 21. Analysis of Variance. 22. Selected Statistical Tests: A Data Interpretation Model. 23. Generalizability, Importance, and a Data Interpretation Model. Appendices.

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