Learning From Data: An Introduction to Statistical Reasoning, Third Edition

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Learning from Data focuses on how to interpret psychological data and statistical results. The authors review the basics of statistical reasoning to helpstudents better understand relevant data that affecttheir everyday lives. Numerous examples based on current research and events are featured throughout.To facilitate learning, authors Glenberg and Andrzejewski: Devote extra attention to explaining the more difficult concepts and the logic behind them Use repetition to enhance students’ memories with multiple examples, reintroductions of the major concepts, and a focus on these concepts in the problems Employ a six-step procedure for describing all statistical tests from the simplest to the most complex Provide end-of-chapter tables to summarize the hypothesis testing procedures introduced Emphasizes how to choose the best procedure in the examples, problems and endpapers Focus on power with a separate chapter and power analyses procedures in each chapter Provide detailed explanations of factorial designs, interactions, and ANOVA to help students understand the statistics used in professional journal articles. The third edition has a user-friendly approach: Designed to be used seamlessly with Excel, all of the in-text analyses are conducted in Excel, while the book’s CD contains files for conducting analyses in Excel, as well as text files that can be analyzed in SPSS, SAS, and Systat Two large, real data sets integrated throughout illustrate important concepts Many new end-of-chapter problems (definitions, computational, and reasoning) and many more on the companion CD Online Instructor’s Resources includes answers to all the exercises in the book and multiple-choice test questions with answers Boxed media reports illustrate key concepts and their relevance to realworld issues The inclusion of effect size in all discussions of power accurately reflects the contemporary issues of power, effect size, and significance. Learning From Data, Third Edition is intended as a text for undergraduate or beginning graduate statistics courses in psychology, education, and other applied social and health sciences.

Author(s): Arthur Glenberg, Arthur M. Glenberg, Matthew Andrzejewski
Edition: 3
Publisher: Routledge Academic
Year: 2007

Language: English
Pages: 582
Tags: Информатика и вычислительная техника;Искусственный интеллект;Интеллектуальный анализ данных;

Front cover......Page 1
Contents......Page 6
Preface......Page 14
ABOUT THE BOOK......Page 15
NEW TO THE THIRD EDITION......Page 16
CHAPTER 1. Why Statistics?......Page 18
PART I: Descriptive Statistics......Page 36
CHAPTER 2. Frequency Distributions and Percentiles......Page 38
CHAPTER 3. Central Tendency and Variability......Page 64
CHAPTER 4. z Scores and Normal Distributions......Page 86
PART II: Introduction to Inferential Statistics......Page 108
CHAPTER 5. Overview of Inferential Statistics......Page 110
CHAPTER 6. Probability......Page 122
CHAPTER 7. Sampling Distributions......Page 136
CHAPTER 8. Logic of Hypothesis Testing......Page 158
CHAPTER 9. Power......Page 194
CHAPTER 10. Logic of Parameter Estimation......Page 216
PART III: Applications of Inferential Statistics......Page 230
CHAPTER 11. Inferences About Population Proportions Using the z Statistic......Page 232
CHAPTER 12. Inferences About When Is Unknown: The Single-sample t Test......Page 258
CHAPTER 13. Comparing Two Populations: Independent Samples......Page 280
CHAPTER 14. Random Sampling, Random Assignment, and Causality......Page 316
CHAPTER 15. Comparing Two Populations: Dependent Samples......Page 328
CHAPTER 16. Comparing Two Population Variances: The F Statistic......Page 362
CHAPTER 17. Comparing Multiple Population Means: One-factor ANOVA......Page 376
CHAPTER 18. Introduction to Factorial Designs......Page 416
CHAPTER 19. Computational Methods for the Factorial ANOVA......Page 442
CHAPTER 20. Describing Linear Relationships: Regression......Page 458
CHAPTER 21. Measuring the Strength of Linear Relationships: Correlation......Page 494
CHAPTER 22. Inferences From Nominal Data: The x2 Statistic......Page 522
Glossary of Symbols......Page 544
Tables......Page 548
Appendix A. Variables From the Stop Smoking Study......Page 562
Appendix B. Variables From the Wisconsin Maternity Leave and Health Project and the Wisconsin Study of Families and Work......Page 564
Answers to Selected Exercises......Page 566
Index......Page 572
Back cover......Page 582