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.
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.
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