Statistics Plain and Simple, 4th Edition

Sherri L. Jackson

Copyright 2017
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Statistics Plain and Simple 4th Edition by Sherri L. Jackson

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Overview
Meet the Author
What's New
Features
Table of Contents
Pricing

Overview

Sherri Jackson's straightforward, conversational introduction to statistics presents just what its title promises -- a plain and simple overview of statistics that is clear, concise, and sparing in its use of jargon. Ideal for behavioral sciences majors, STATISTICS PLAIN AND SIMPLE, Fourth Edition, is designed to build students' confidence in understanding, calculating, and interpreting statistics. It instills a strong awareness of the interaction between statistical methods and research methods. It also helps students develop 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. A modular format presents the material in brief segments that make concepts manageable.

Meet the Authors

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Sherri L. Jackson

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).

What's New

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SPSS® coverage at the end of each chapter has been updated to reflect the most recent version, SPSS® 22.
Updated examples in several chapters freshen the presentation while clarifying concepts and techniques.
Statistical power analyses have been included for t tests and one-way ANOVAs.

Features

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Several modules include coverage of statistical power and effect size. Students learn how to increase power when using statistical tests and how to determine the effect size for t tests and ANOVAs, along with how to determine the power of these tests.
In Review tables occur frequently within each module, reinforcing students' learning and facilitating review. For example, the Hypothesis Testing Table summarizes the concepts of null hypothesis, alternative hypothesis (or research hypothesis), two-tailed (or nondirectional) tests, one-tailed (or directional) tests, Type I error, Type II error, and statistical significance. The In Review table for "The t Test" provides a description and an example of the estimated standard error (or the mean), the t test, the one-tailed t test and the two-tailed t test.
Critical Thinking Checks (after every In Review table) help students solidify their grasp of the core concepts presented and ensure that they understand before moving on.
Glossary terms and definitions appear in the margins throughout the text to help students easily identify key terms for review.
TI-84 exercises show students how to use their calculators to solve a problem they have previously worked by hand.
Microsoft® Excel® and SPSS® examples are included at the end of each chapter.
The end of each module includes a Summary Review Table, Critical Thinking Check items (with answers), a review of key terms, and Module Exercises. At the end of each chapter, a Chapter Summary and Review lets students check their understanding of the concepts through fill-in, multiple-choice, and short answer self-test questions, thereby helping them to prepare for exams.
Answers to odd-numbered Module Exercises and to all Chapter Summary and Review Questions are provided in an Appendix.

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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.