Informed by extensive research on how people read, think, and learn, REVEL is an interactive learning environment that enables students to read, practice, and study in one continuous experience — for less than the cost of a traditional textbook.
An introduction to statistics in the social sciences that balances theory and practice REVEL for Elementary Statistics in Social Research provides a balanced overview of statistical analysis in the social sciences, providing coverage of both theoretical concepts and step-by-step computational techniques.
Throughout this best-selling text, authors Jack Levin, James Alan Fox, and David Forde make statistics accessible to all readers, particularly those without a strong background in mathematics. Throughout REVEL for the Twelfth Edition, detailed, step-by-step illustrations of statistical procedures help students to better grasp key concepts.
Preface Preface is available for download in PDF format. Dynamic content matched to the way today's students read, think, and learn brings content to life Integrated within the narrative, interactives empower students to engage with concepts and take an active role in learning. REVEL's unique presentation of media as an intrinsic part of course content brings the hallmark features of Pearson's bestselling titles to life.
REVEL's media interactives have been designed to be completed quickly, so students stay focused and on task. End-of-chapter quizzing affords students opportunities to check their understanding before moving on. Responsive design allows students to access REVEL on their tablet devices and smart phones, with content displayed clearly in both portrait and landscape view.
Highlighting, note taking, and a glossary let students read and study however they like. Educators can add notes for students, too, including reminders or study tips. This clear, detailed schedule helps students stay on task by eliminating any ambiguity as to which material will be covered during each class. And when students know what is expected of them, they're better motivated to keep up.
It offers actionable information that helps educators intersect with their students in meaningful ways, such as points earned on quizzes and tests and time on task. Accommodates students — Written to be understandable to a broad range of students, particularly those without a strong background in mathematics. About the Author s. Previous editions. Elementary Statistics in Social Research, 11th Edition. Sign In We're sorry! Username Password Forgot your username or password?
Sign Up Already have an access code? Instructor resource file download The work is protected by local and international copyright laws and is provided solely for the use of instructors in teaching their courses and assessing student learning.
Highlighting, note taking, and a glossary let students read and study however they like. Educators can add notes for students, too, including reminders or study tips.
This clear, detailed schedule helps students stay on task by eliminating any ambiguity as to which material will be covered during each class. And when students know what is expected of them, they're better motivated to keep up. It offers actionable information that helps educators intersect with their students in meaningful ways, such as points earned on quizzes and tests and time on task.
Of particular note, the trending column reveals whether students' grades are improving or declining — which helps educators identify students who might need help to stay on track. A student-friendly approach and hands-on guidance makes statistics accessible to all students Detailed, step-by-step illustrations of statistical procedures at important points throughout the text help students to better grasp key concepts. The authors employ an accessible writing style to make key concepts understandable to a broad range of students, particularly those without a strong background in mathematics.
The authors provide clear, logical explanations that help students understand the rationale and use of statistical methods in social research. Looking at the Larger Picture boxes helps deepen student understanding of statistical methods. New to This Edition. Table of Contents 1. Share a link to All Resources. Instructor Resources. Discipline Resources. Accommodates students — Written to be understandable to a broad range of students, particularly those without a strong background in mathematics.
About the Author s. Previous editions. Elementary Statistics in Social Research, 11th Edition. Sign In We're sorry! Username Password Forgot your username or password?
Sign Up Already have an access code? Instructor resource file download The work is protected by local and international copyright laws and is provided solely for the use of instructors in teaching their courses and assessing student learning. Michael O. The third edition includes over twenty new sections, including the addition of timely topics, like New York City police stops, exonerations in death-sentence cases, projecting airline costs, and new material on various statistical techniques such as the randomized response survey technique, rare-events meta-analysis, competing risks, and negative binomial regression.
The book consists of sections of exposition followed by real-world cases and case studies in which statistical data have played a role. The reader is asked to apply the theory to the facts, to calculate results a hand calculator is sufficient , and to explore legal issues raised by quantitative findings. The authors' calculations and comments are given in the back of the book.
As with previous editions, the cases and case studies reflect a broad variety of legal subjects, including antidiscrimination, mass torts, taxation, school finance, identification evidence, preventive detention, handwriting disputes, voting, environmental protection, antitrust, sampling for insurance audits, and the death penalty.
A chapter on epidemiology was added in the second edition. In , the first edition was selected by the University of Michigan Law Review as one of the important law books of the year. Leaving proofs and complicated mathematics behind, the authorportrays the more engaging side of statistics and emphasizes itsrole as a problem-solving tool.
In addition, light-heartedcase studies illustrate the application of statistics to real dataanalyses, highlighting the strengths and weaknesses of commonlyused techniques. Written for the growing academic and industrialpopulation that uses statistics in everyday life, The Art ofData Analysis: How to Answer Almost Any Question Using BasicStatistics highlights important issues that often arise whencollecting and sifting through data.
Acknowledging the numerous quantitative analyses of data that are a part of this everyday work, Statistics for Compensation provides a comprehensive guide to the key statistical tools and techniques needed to perform those analyses and to help organizations make fully informed compensation decisions. This self-contained book is the first of its kind to explore the use of various quantitative methods—from basic notions about percents to multiple linear regression—that are used in the management, design, and implementation of powerful compensation strategies.
Drawing upon his extensive experience as a consultant, practitioner, and teacher of both statistics and compensation, the author focuses on the usefulness of the techniques and their immediate application to everyday compensation work, thoroughly explaining major areas such as: Frequency distributions and histograms Measures of location and variability Model building Linear models Exponential curve models Maturity curve models Power models Market models and salary survey analysis Linear and exponential integrated market models Job pricing market models Throughout the book, rigorous definitions and step-by-step procedures clearly explain and demonstrate how to apply the presented statistical techniques.
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