Revised edition of the author's Essential statistics for the behavioral sciences, 2016. Essentials of Statistics for the Behavioral Sciences is a concise version of Statistics for the Behavioral Sciences by award-winning teacher, author, and advisor Gregory J. Privitera. The Second Edition provides balanced coverage for today's students, connecting the relevance of core concepts to daily life with new introductory vignettes for every chapter, while speaking to the reader as a researcher when covering statistical theory, computation, and application. Robust pedagogy allows students to continually check their comprehension and hone their skills while working through carefully developed problems and exercises that include current research and seamless integration of IBM® SPSS® Statistics. Readers will welcome Privitera's thoughtful instruction, conversational voice, and application of statistics to real-world problems. A Complete Teaching & Learning Package. SAGE coursepacks FREE! SAGE coursepacks makes it easy to import our quality instructor and student resource content into your school's learning management system (LMS). Intuitive and simple to use, SAGE coursepacks allows you to customize course content to meet your students'needs.. SAGE edge FREE! SAGE edge offers both instructors and students a robust online environment with an impressive array of teaching and learning resources. Study Guide With IBM® SPSS® Workbook Bundle the Second Edition with the accompanying Student Study Guide With IBM® SPSS® Workbook for Essential Statistics for the Behavioral Sciences. Guide for Users of R, SAS®, and Stata® Bundle the Second Edition with the accompanying Essentials of Statistical Analysis'In Focus'. WebAssign® This title is available on WebAssign, allowing instructors to produce and manage assignments with their students online using a grade book that allows them to track and monitor students′ progress. Students receive unlimited practice using a combination of multiple choice and algorithmic questions, and are allowed unlimited access to this edition of the textbook in the same course at no additional cost. WebAssign provides instant feedback and links directly to the accompanying eBook section where the concept was covered, allowing students to find the correct solution. Acknowledgments -- Introduction and descriptive statistics -- Introduction to statistics -- Summarizing data : frequency distributions in tables and graphs -- Summarizing data : central tendency -- Summarizing data: variability -- Probability and the foundations of inferential statistics -- Probability, normal distributions, and z scores -- Characteristics of the sample mean -- Hypothesis testing : significance, effect size, and power -- Making inferences about one or two means -- Testing means : one-sample t test with confidence intervals -- Testing means : two-independent-sample t test with confidence intervals -- Testing means : related-samples t test with confidence intervals -- Making inferences about the variability of two or more means -- One-way analysis of variance : between-subjects and within-subjects (repeated-measures) designs -- Two-way analysis of variance : between-subjects factorial design -- Making inferences about patterns, prediction, and nonparametric tests -- Correlation and linear regression -- Chi-square tests : goodness-of-fit and the test for independence -- Afterword -- Appendix A: Basic math review and summation notation -- Appendix B: SPSS general instruction guide -- Appendix C: Statistical tables -- Appendix D: Chapter solutions for even-numbered problems -- Glossary -- References -- Index
