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Based on over 30 years of successful teaching experience in this course, Robert Pagano's introductory text takes an intuitive, concepts-based approach to descriptive and inferential statistics. He uses the sign test to introduce inferential statistics, empirically derived sampling distributions, many visual aids and lots of interesting examples to promote student understanding. One of the hallmarks of this text is the positive feedback from students, even students who are not mathematically inclined praise the text for its clarity, detailed presentation, and use of humor to help make concepts accessible and memorable. Thorough explanations precede the introduction of every formula, and the exercises that immediately follow include a step-by-step model that lets students compare their work against fully solved examples. This combination makes the text perfect for students taking their first statistics course in psychology or other social and behavioral sciences.
Author Bio
Robert R. Pagano received a Bachelor of Electrical Engineering degree from Rensselaer Polytechnic Institute in 1956 and a Ph.D. in Biological Psychology from Yale University in 1965. He was Assistant Professor and Associate Professor in the Department of Psychology at the University of Washington, Seattle, from 1965 to 1989. He was Associate Chairman of the Department of Neuroscience at the University of Pittsburgh, from 1990 to June 2000. While there, in addition to his other duties, he served as Director of Undergraduate Studies, was the departmental adviser for undergraduate majors, taught both undergraduates and graduate statistics courses, and served as a statistical consultant for departmental faculty. Pagano was also Director of the Statistical Cores for two NIH center grants in schizophrenia and Parkinson's disease. He retired from the University of Pittsburgh in June 2000. Pagano taught introductory statistics courses at the University of Washington and at the University of Pittsburgh for over thirty years combined. While at the University of Washington, he was a finalist for the Outstanding Teaching award for his instruction of introductory statistics.
Part I: OVERVIEW.
1. Statistics and Scientific Method.
Part II: DESCRIPTIVE STATISTICS.
2. Basic Mathematical and Measurement Concepts.
3. Frequency Distributions.
4. Measures of Central Tendency and Variability.
5. The Normal Curve and Standard Scores.
6. Correlation.
7. Linear Regression.
Part III: INFERENTIAL STATISITCS.
8. Random Sampling and Probability.
9. Binomial Distribution.
10. Introduction to Hypothesis Testing Using the Sign Test.
11. Power.
12. Sampling Distributions, Sampling Distribution of the Mean, the Normal Deviate (z) Test.
13. Student's t-Test for Single Samples.
14. Student's t-Test for Correlated and Independent Groups.
15. Introduction to the Analysis of Variance.
16. Introduction to Two-Way Analysis of Variance.
17. Chi-Square and Other Nonparametric Tests.
18. Review of Inferential Statistics.
Appendix A: Review of Prerequisite Mathematics.
Appendix B: Equations.
Appendix C: Answers to End-of-Chapter Questions and Problems.
Appendix D: Tables.
Glossary.
Index.
Based on over 30 years of successful teaching experience in this course, Robert Pagano's introductory text takes an intuitive, concepts-based approach to descriptive and inferential statistics. He uses the sign test to introduce inferential statistics, empirically derived sampling distributions, many visual aids and lots of interesting examples to promote student understanding. One of the hallmarks of this text is the positive feedback from students, even students who are not mathematically inclined praise the text for its clarity, detailed presentation, and use of humor to help make concepts accessible and memorable. Thorough explanations precede the introduction of every formula, and the exercises that immediately follow include a step-by-step model that lets students compare their work against fully solved examples. This combination makes the text perfect for students taking their first statistics course in psychology or other social and behavioral sciences.
Author Bio
Robert R. Pagano received a Bachelor of Electrical Engineering degree from Rensselaer Polytechnic Institute in 1956 and a Ph.D. in Biological Psychology from Yale University in 1965. He was Assistant Professor and Associate Professor in the Department of Psychology at the University of Washington, Seattle, from 1965 to 1989. He was Associate Chairman of the Department of Neuroscience at the University of Pittsburgh, from 1990 to June 2000. While there, in addition to his other duties, he served as Director of Undergraduate Studies, was the departmental adviser for undergraduate majors, taught both undergraduates and graduate statistics courses, and served as a statistical consultant for departmental faculty. Pagano was also Director of the Statistical Cores for two NIH center grants in schizophrenia and Parkinson's disease. He retired from the University of Pittsburgh in June 2000. Pagano taught introductory statistics courses at the University of Washington and at the University of Pittsburgh for over thirty years combined. While at the University of Washington, he was a finalist for the Outstanding Teaching award for his instruction of introductory statistics.
Table of Contents
Part I: OVERVIEW.
1. Statistics and Scientific Method.
Part II: DESCRIPTIVE STATISTICS.
2. Basic Mathematical and Measurement Concepts.
3. Frequency Distributions.
4. Measures of Central Tendency and Variability.
5. The Normal Curve and Standard Scores.
6. Correlation.
7. Linear Regression.
Part III: INFERENTIAL STATISITCS.
8. Random Sampling and Probability.
9. Binomial Distribution.
10. Introduction to Hypothesis Testing Using the Sign Test.
11. Power.
12. Sampling Distributions, Sampling Distribution of the Mean, the Normal Deviate (z) Test.
13. Student's t-Test for Single Samples.
14. Student's t-Test for Correlated and Independent Groups.
15. Introduction to the Analysis of Variance.
16. Introduction to Two-Way Analysis of Variance.
17. Chi-Square and Other Nonparametric Tests.
18. Review of Inferential Statistics.
Appendix A: Review of Prerequisite Mathematics.
Appendix B: Equations.
Appendix C: Answers to End-of-Chapter Questions and Problems.
Appendix D: Tables.
Glossary.
Index.