Student Study Guide With IBM® SPSS® Workbook for Research Methods, Statistics, and Applications 2e PDF Download
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Author: Kathrynn A. Adams
Publisher: SAGE Publications
ISBN: 1544318650
Category : Psychology
Languages : en
Pages : 263
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Book Description
Do you want to give your students more practice with research methods and statistics outside of class? Then the Student Study Guide With IBM® SPSS® Workbook for Research Methods, Statistics, and Applications, Second Edition, is for you. Written by Kathrynn A. Adams and Eva K. Lawrence, this study guide accompanies the new second edition of Research Methods, Statistics, and Applications and provides instructions for performing statistical calculations in IBM® SPSS® along with additional exercises to reinforce concepts in the text. It follows the main text chapter by chapter to provide for easy assigning and studying. Bundle it with Research Methods, Statistics, and Applications, 2e and save! ISBN: 978-1-5443-3016-7
Author: Kathrynn A. Adams
Publisher: SAGE Publications
ISBN: 1544318650
Category : Psychology
Languages : en
Pages : 263
Get Book Here
Book Description
Do you want to give your students more practice with research methods and statistics outside of class? Then the Student Study Guide With IBM® SPSS® Workbook for Research Methods, Statistics, and Applications, Second Edition, is for you. Written by Kathrynn A. Adams and Eva K. Lawrence, this study guide accompanies the new second edition of Research Methods, Statistics, and Applications and provides instructions for performing statistical calculations in IBM® SPSS® along with additional exercises to reinforce concepts in the text. It follows the main text chapter by chapter to provide for easy assigning and studying. Bundle it with Research Methods, Statistics, and Applications, 2e and save! ISBN: 978-1-5443-3016-7
Author: Kathrynn A. Adams
Publisher: SAGE Publications
ISBN: 150635047X
Category : Social Science
Languages : en
Pages : 607
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Book Description
One of the greatest strengths of this text is the consistent integration of research methods and statistics so that students can better understand how the research process requires the combination of these elements. The end goal is to spark students′ interest in conducting research and to increase their ability to critically analyze it. In the new second edition of the text, Katherine Adams and Eva Lawrence have integrated additional information on online data collection and research methods, additional coverage of regression and ANOVA, and new examples to engage students.
Author: David S. Moore
Publisher: Macmillan
ISBN: 1429224606
Category :
Languages : en
Pages : 978
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Book Description
The Basic Practice of Statistics has become a bestselling textbook by focusing on how statistics are gathered, analyzed, and applied to real problems and situations—and by confronting student anxieties about the course’s relevance and difficulties head on. With David Moore’s pioneering "data analysis" approach (emphasizing statistical thinking over computation), engaging narrative and case studies, current problems and exercises, and an accessible level of mathematics, there is no more effective textbook for showing students what working statisticians do and what accurate interpretations of data can reveal about the world we live in. In the new edition, you will once again see how everything fits together. As always, Moore’s text offers balanced content, beginning with data analysis, then covering probability and inference in the context of statistics as a whole. It provides a wealth of opportunities for students to work with data from a wide range of disciplines and real-world settings, emphasizing the big ideas of statistics in the context of learning specific skills used by professional statisticians. Thoroughly updated throughout, the new edition offers new content, features, cases, data sources, and exercises, plus new media support for instructors and students—including the latest version of the widely-adopted StatsPortal. The full picture of the contemporary practice of statistics has never been so captivatingly presented to an uninitiated audience.
Author: Robert R. Pagano
Publisher:
ISBN:
Category : Psychology
Languages : en
Pages : 0
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Book Description
Author: Charles Wheelan
Publisher: W. W. Norton & Company
ISBN: 0393089827
Category : Mathematics
Languages : en
Pages : 307
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Book Description
A New York Times bestseller "Brilliant, funny…the best math teacher you never had." —San Francisco Chronicle Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called "sexy." From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions. And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.
Author:
Publisher:
ISBN:
Category : Academic writing
Languages : en
Pages : 190
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Book Description
Choosing & Using Sources presents a process for academic research and writing, from formulating your research question to selecting good information and using it effectively in your research assignments. Additional chapters cover understanding types of sources, searching for information, and avoiding plagiarism. Each chapter includes self-quizzes and activities to reinforce core concepts and help you apply them. There are also appendices for quick reference on search tools, copyright basics, and fair use.
Author: William I. Notz
Publisher: Macmillan
ISBN: 9780716777250
Category : Business & Economics
Languages : en
Pages : 292
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Book Description
Study Guide to accompany The Basic Practice of Statistics, 4th edition by Moore. Supports students in independent learning and review for exams.
Author: David Kremelberg
Publisher: SAGE Publications
ISBN: 150631791X
Category : Social Science
Languages : en
Pages : 529
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Book Description
Making statistics—and statistical software—accessible and rewarding This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS. This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages.
Author: Jane E. Miller
Publisher: University of Chicago Press
ISBN: 022603819X
Category : Mathematics
Languages : en
Pages : 576
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Book Description
Many different people, from social scientists to government agencies to business professionals, depend on the results of multivariate models to inform their decisions. Researchers use these advanced statistical techniques to analyze relationships among multiple variables, such as how exercise and weight relate to the risk of heart disease, or how unemployment and interest rates affect economic growth. Yet, despite the widespread need to plainly and effectively explain the results of multivariate analyses to varied audiences, few are properly taught this critical skill. The Chicago Guide to Writing about Multivariate Analysis is the book researchers turn to when looking for guidance on how to clearly present statistical results and break through the jargon that often clouds writing about applications of statistical analysis. This new edition features even more topics and real-world examples, making it the must-have resource for anyone who needs to communicate complex research results. For this second edition, Jane E. Miller includes four new chapters that cover writing about interactions, writing about event history analysis, writing about multilevel models, and the “Goldilocks principle” for choosing the right size contrast for interpreting results for different variables. In addition, she has updated or added numerous examples, while retaining her clear voice and focus on writers thinking critically about their intended audience and objective. Online podcasts, templates, and an updated study guide will help readers apply skills from the book to their own projects and courses. This continues to be the only book that brings together all of the steps involved in communicating findings based on multivariate analysis—finding data, creating variables, estimating statistical models, calculating overall effects, organizing ideas, designing tables and charts, and writing prose—in a single volume. When aligned with Miller’s twelve fundamental principles for quantitative writing, this approach will empower readers—whether students or experienced researchers—to communicate their findings clearly and effectively.
Author: David S. Moore
Publisher: Macmillan
ISBN: 142923394X
Category : Mathematics
Languages : en
Pages : 243
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Book Description
The Study Guide with Selected Solutions, to accompany Moore's Essentials Statistics, offers students explanations of crucial concepts in each section of Essential Statistics, plus detailed solutions to key text problems and stepped-through models of important statistical techniques.
