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A comprehensive and user-friendly introduction to statistics for behavioral science students--revised and updated Refined over seven editions by master teachers, this book gives instructors and students alike clear examples and carefully crafted exercises to support the teaching and learning of statistics for both manipulating and consuming data. One of the most popular and respected statistics texts in the behavioral sciences, the Seventh Edition of Introductory Statistics for the Behavioral Sciences has been fully revised. The new edition presents all the topics students in the behavioral…mehr
A comprehensive and user-friendly introduction to statistics for behavioral science students--revised and updated Refined over seven editions by master teachers, this book gives instructors and students alike clear examples and carefully crafted exercises to support the teaching and learning of statistics for both manipulating and consuming data. One of the most popular and respected statistics texts in the behavioral sciences, the Seventh Edition of Introductory Statistics for the Behavioral Sciences has been fully revised. The new edition presents all the topics students in the behavioral sciences need in a uniquely accessible and easy-to-understand format, aiding in the comprehension and implementation of the statistical analyses most commonly used in the behavioral sciences. The Seventh Edition features: * A continuous narrative that clearly explains statistics while tracking a common data set throughout, making the concepts unintimidating and memorable, and providing a framework that connects all of the topics and allows for easy comparison of different statistical analyses * Coverage of important aspects of research design throughout the text, such as the "correlation is not causality" principle * Updated and annotated SPSS output at the end of each chapter with step-by-step instructions * Updated examples and exercises * An expanded website, at www.wiley.com/go/welkowitz, with test bank, chapter quizzes, and PowerPoint slides for instructors, as well as a second website for students with additional basic math coverage, math review exercises, a study guide, a set of additional SPSS exercises, and more downloadable data sets
JOAN WELKOWITZ, PhD, (deceased) was professor of psychology at New York University. She directed the graduate clinical program for ten years. She taught courses in methodology and statistics at both the graduate and undergraduate levels for more than twenty-five years and?was the primary author of Introductory Statistics for the Behavioral Sciences. BARRY H. COHEN, PhD, is the Director of the master's program in psychology at New York University, where he has been teaching statistics for more than twenty years. He is the coauthor of two other successful statistics books from Wiley--Explaining Psychological Statistics, Third Edition, and Essentials of Statistics for the Social and Behavioral Sciences. R. BROOKE LEA, PhD, is professor and chair of the Psychology Department at Macalester College, St. Paul, Minnesota.?His research publications concern the comprehension processes that occur during reading of text and poetry.
Inhaltsangabe
Part I Descriptive Statistics Chapter 1: Introduction Chapter 2: Frequency Distributions and Graphs Chapter 3: Measures of Central Tendency and Variability Chapter 4: Standardized Scores and the Normal Distribution Part II Basic Inferential Statistics Chapter 5: Introduction to Statistical Inference Chapter 6: The One-Sample t Test and Interval Estimation Chapter 7: Testing Hypotheses about the Difference between the Means of Two Populations Chapter 8: Nonparametric Tests for the Difference between Two Means Chapter 9: Linear Correlation Chapter 10: Prediction and Linear Regression Chapter 11: Introduction to Power Analysis Part III Analysis of Variance Methods Chapter 12: One-Way Analysis of Variance Chapter 13: Multiple Comparisons Chapter 14: Introduction to Factorial Design: Two-Way Analysis of Variance Chapter 15: Repeated-Measures ANOVA Part IV Nonparametric Statistics for Categorical Data Chapter 16: Probability of Discrete Events and the Binomial Distribution Chapter 17: Chi Square Tests Appendix Glossary of Terms
Part I Descriptive Statistics Chapter 1: Introduction Chapter 2: Frequency Distributions and Graphs Chapter 3: Measures of Central Tendency and Variability Chapter 4: Standardized Scores and the Normal Distribution Part II Basic Inferential Statistics Chapter 5: Introduction to Statistical Inference Chapter 6: The One-Sample t Test and Interval Estimation Chapter 7: Testing Hypotheses about the Difference between the Means of Two Populations Chapter 8: Nonparametric Tests for the Difference between Two Means Chapter 9: Linear Correlation Chapter 10: Prediction and Linear Regression Chapter 11: Introduction to Power Analysis Part III Analysis of Variance Methods Chapter 12: One-Way Analysis of Variance Chapter 13: Multiple Comparisons Chapter 14: Introduction to Factorial Design: Two-Way Analysis of Variance Chapter 15: Repeated-Measures ANOVA Part IV Nonparametric Statistics for Categorical Data Chapter 16: Probability of Discrete Events and the Binomial Distribution Chapter 17: Chi Square Tests Appendix Glossary of Terms
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