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Statistics Plain and Simple / Edition 2

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Overview

This straightforward, concise, conversational introduction to statistics presents a plain-and-simple overview of statistics that is sparing in its use of jargon. Readers 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, an understanding of the concept of significance, and the critical thinking skills necessary to apply these ideas. Available with InfoTrac Student Collections http://gocengage.com/infotrac.

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Product Details

  • ISBN-13: 9780495808909
  • Publisher: Cengage Learning
  • Publication date: 8/26/2009
  • Edition number: 2
  • Pages: 400
  • Product dimensions: 7.40 (w) x 9.20 (h) x 0.90 (d)

Meet the Author

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. She has published numerous articles in both areas. In 1997, she received a research grant from the Office of Teaching Resources in Psychology (APA Division 2) to develop A Compendium of Introductory Psychology Textbooks 1997-2000. She is also the author of STATISTICS PLAIN AND SIMPLE, 3rd Edition (Wadsworth/Cengage, 2014), 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).

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Table of Contents

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.

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