© 2017 – Routledge
• An overview of descriptive and inferential statistics without formulas and computations.
• Clear and to-the-point narrative makes this short book perfect for all courses in which statistics are discussed.
• Helps statistics students who are struggling with the concepts. Shows them the meanings of the statistics they are computing.
• This book is easy to digest because it is divided into short sections with review questions at the end of each section.
• Running sidebars draw students’ attention to important concepts.
Part A: The Research Context
1. The Empirical Approach to Knowledge
2. Types of Empirical Research
3. Introduction to Sampling
4. Scales of Measurement
5. Descriptive, Correlational, and Inferential Statistics
Part B: Descriptive Statistics
6. Frequencies, Percentages, and Proportions
7. Shapes of Distributions
8. The Mean: An Average
9. Mean, Median, and Mode
10. Range and Interquartile Range
11. Standard Deviation
Part C: Correlational Statistics
13. Pearson r
14. Coefficient of Determination
16. Multiple Correlation
Part D: Inferential Statistics
17. Variations on Random Sampling
18. Sample Size
19. Standard Error of the Mean
20. Introduction to the Null Hypothesis
21. Decisions About the Null Hypothesis
22. Introduction to the t Test
23. Reports of the Results of t Tests
24. One-Way ANOVA
25. Two-Way ANOVA
27. Limitations of Significance Testing
28. Effect Size
Appendix A: Computation of the Standard Deviation
Appendix B: Notes on Interpreting Pearson r and Linear Regression
Appendix C: Table of Random Numbers
Appendix D: More About the Null Hypothesis
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