Statistics Plain and Simple
4th Edition
Will be published approx. on 1. January 2016
Book
Paperback/Softback
496 pages
978-1-305-63890-7 (ISBN)
Description
Build your confidence in understanding, calculating, and interpreting statistics with STATISTICS PLAIN AND SIMPLE, Fourth Edition. This straightforward, conversational introduction to statistics presents just what its title promises -- a plain and simple overview that is clear, concise, and sparing in its use of jargon. A modular format presents material in easy-to-manage sections. You'll develop a strong awareness of the interaction between statistical methods and research methods along with a solid working knowledge of basic statistical cautions in research design, a strong understanding of the concept of significance, and the critical thinking skills necessary to apply these ideas.
More details
Edition
4th edition
Language
English
Place of publication
Belmont, CA
United States
Publishing group
Cengage Learning, Inc
Target group
College/higher education
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 229 mm
Width: 185 mm
Thickness: 20 mm
Weight
771 gr
ISBN-13
978-1-305-63890-7 (9781305638907)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Sherri L. Jackson is professor of psychology at Jacksonville University (JU), where she has taught since 1988 and currently serves as Chair of the Division of Social Sciences. At JU, she has won Excellence in Scholarship (2003), University Service (2004), and Teaching (2009) awards; the university-wide Professor of the Year Award in 2004; the Woman of the Year Award in 2005; and the Institutional Excellence Award in 2007. She received her M.S. and Ph.D. in cognitive/experimental psychology from the University of Florida. Her research interests include human reasoning and the teaching of psychology, and she has published numerous articles in both areas. She is also the author of RESEARCH METHODS & STATISTICS: A CRITICAL THINKING APPROACH, 5th Edition (Wadsworth/Cengage, 2016), RESEARCH METHODS: A MODULAR APPROACH, 3rd Edition (Wadsworth/Cengage, 2015) and A CONCISE GUIDE TO STATISTICAL ANALYSES USING EXCEL, SPSS, AND THE TI-84 CALCULATOR (Cengage, 2013).
Content
1. GETTING STARTED.
Science and Statistics. Variables and Measurement.
2. DESCRIPTIVE STATISTICS I.
Organizing Data. Measures of Central Tendency.
3. DESCRIPTIVE STATISTICS II.
Measures of Variation. Standard Scores (z-scores).
4. PROBABILITY AND HYPOTHESIS TESTING.
Probability. Hypothesis Testing and Inferential Statistics.
5. THE Z AND T TESTS.
The Single-Sample z Test. The Single-Sample t Test.
6. TWO-GROUP T TESTS.
The t Test for Independent Groups (Samples). The t Test for Correlated Groups (Samples).
7. INTRODUCTION TO ANALYSIS OF VARIANCE (ANOVA).
Comparing More Than Two Groups. One-Way Randomized Analysis of Variance (ANOVA).
8. REPEATED MEASURES AND TWO-FACTOR ANOVAS.
One-Way Repeated Measures ANOVA. Using Designs with More Than One Independent Variable. Two-Way Randomized ANOVA.
9. CORRELATIONAL PROCEDURES.
Correlational Research. Correlation Coefficients. Advanced Correlational Techniques: Regression Analysis.
10. NONPARAMETRIC PROCEDURES.
Chi-Square Tests. Tests for Ordinal Data.
Appendix A. Statistical Tables.
Appendix B. Answers to Module and Chapter Summary Exercises.
Appendix C. Getting Started with Excel, SPSS, and the TI-84 Calculator.
Appendix D. Computational Supplement.
Glossary.
References.
Index.
Science and Statistics. Variables and Measurement.
2. DESCRIPTIVE STATISTICS I.
Organizing Data. Measures of Central Tendency.
3. DESCRIPTIVE STATISTICS II.
Measures of Variation. Standard Scores (z-scores).
4. PROBABILITY AND HYPOTHESIS TESTING.
Probability. Hypothesis Testing and Inferential Statistics.
5. THE Z AND T TESTS.
The Single-Sample z Test. The Single-Sample t Test.
6. TWO-GROUP T TESTS.
The t Test for Independent Groups (Samples). The t Test for Correlated Groups (Samples).
7. INTRODUCTION TO ANALYSIS OF VARIANCE (ANOVA).
Comparing More Than Two Groups. One-Way Randomized Analysis of Variance (ANOVA).
8. REPEATED MEASURES AND TWO-FACTOR ANOVAS.
One-Way Repeated Measures ANOVA. Using Designs with More Than One Independent Variable. Two-Way Randomized ANOVA.
9. CORRELATIONAL PROCEDURES.
Correlational Research. Correlation Coefficients. Advanced Correlational Techniques: Regression Analysis.
10. NONPARAMETRIC PROCEDURES.
Chi-Square Tests. Tests for Ordinal Data.
Appendix A. Statistical Tables.
Appendix B. Answers to Module and Chapter Summary Exercises.
Appendix C. Getting Started with Excel, SPSS, and the TI-84 Calculator.
Appendix D. Computational Supplement.
Glossary.
References.
Index.