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 who need to grasp basic concepts quickly, STATISTICS PLAIN AND SIMPLE, Third 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 provides 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. This paperback book's modular format (22 modules across 10 chapters) presents the material in brief segments that make even difficult concepts manageable. Jackson shows why each new statistical technique is necessary before explaining it, and skillfully uses narrative to connect one module to the next. Pedagogical features complement Jackson's narrative, serving to further build students' confidence with statistical ideas.
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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.