Making sense of statistics : a conceptual overview / Fred Pyrczak and Deborah Mikyo Oh.
| Author/creator | Pyrczak, Fred author. |
| Other author | Oh, Deborah Mikyo, author. |
| Format | Electronic |
| Edition | Eighth edition. |
| Publication | London : Routledge, 2023. |
| Description | 1 online resource (232 pages) : illustrations (black and white) |
| Supplemental Content | Direct link to eBook |
| Subjects |
| Contents | <P>Introduction: What is Research?; <B>Part A: The Research Context </B>1. The Empirical Approach to Knowledge 2. Types of Empirical Research 3. Scales of Measurement 4. Descriptive, Correlational, and Inferential Statistics; <B>Part B: Sampling </B>5. Introduction to Sampling 6. Variations on Random Sampling 7. Sample Size 8. Standard Error of Mean and Central Limit Theorem; <B>Part C: Descriptive Statistics </B>9. Frequencies, Percentages, and Proportions 10. Shapes of Distributions 11. The Mean: An Average 12. Mean, Median, and Mode 13. Range and Interquartile Range 14. Standard Deviation 15. Z Score; <B>Part D: Correlational Statistics </B>16. Correlation 17. Pearson r 18. Scattergram 19. Coefficient of Determination 20. Multiple Correlation; <B>Part E: Inferential Statistics </B>21. Introduction to Null Hypothesis 22. Decisions About the Null Hypothesis 23. Limits of Significance Testing and Practical Implications; <B>Part F: Means Comparison </B>24. Introduction to the <I>t</I> Test 25. Independent Samples t Test 26. Dependent Samples t Test 27. One Sample t Test 28. Reporting the Results of t Tests: Display of Outcomes 29. One-Way ANOVA 30. Two-Way ANOVA; <B>Part G: Predictive Significance </B>31. Chi-Square 32. Effect Size 33. Simple and Multiple Linear Regressions; Appendix A. Computations Appendix B. Notes on Interpreting Pearson r and Linear Regression Appendix C. Table of Random Numbers</P> |
| Abstract | Making Sense of Statistics, Eighth Edition, is the ideal introduction to the concepts of descriptive and inferential statistics for students undertaking their first research project. It presents each statistical concept in a series of short steps, then uses worked examples and exercises to enable students to apply their own learning. It focuses on presenting the why, as well as the how of statistical concepts, rather than computations and formulas. As such, it is suitable for students from all disciplines regardless of mathematical background. Only statistical techniques that are almost universally included in introductory statistics courses, and widely reported in journals, have been included. This conceptual book is useful for all study levels, from undergraduate to doctoral level across disciplines. Once students understand and feel comfortable with the statistics presented in this book, they should find it easy to master additional statistical concepts. New to the Eighth Edition Reorganization of chapters to allow better progress in conceptual understanding Additional discussions on program evaluation, displays of outcomes, and examples Chapter objectives at the beginning of each chapter are listed with clear learning objectives for the reader Expanded appendices include a reference to common computational formulas and examples A glossary of key terms has been updated to function as a useful vocabulary list for use in a first course in statistics Updated online resources, including a basic math review and answers, PowerPoint slides, and a test bank of questions. |
| General note | Previous edition: 2018. |
| Source of description | Description based on CIP data; resource not viewed. |
| Issued in other form | Print version : 9781032289625 |
| ISBN | 9781000872958 ePub ebook |
| ISBN | 1000872955 |
| ISBN | hardback |
| ISBN | paperback |
| ISBN | 9781000872910 PDF ebook |
| ISBN | 1000872912 |
| Standard identifier# | 10.4324/9781003299356 |
| Stock number | 9781000872958 Ingram Content Group |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |