Lab Manual for Statistical Analysis PDF Download
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Author: Dawn M. McBride
Publisher: SAGE Publications
ISBN: 150632519X
Category : Psychology
Languages : en
Pages : 128
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Book Description
Packed with exercises, checklists, and how-to sections, this robust lab manual gives students hands-on guidance and practice for analyzing their own psychological research. The lab manual’s four sections include activities that correspond directly with the chapters of Dawn M. McBride’s The Process of Statistical Analysis in Psychology; activities related to data analysis projects (including data sets) that students can manipulate and analyze; activities designed to help students choose the correct test for different types of data; and exercises designed to help students write up results from analyses in APA style. INSTRUCTORS: Bundle the Lab Manual for Statistical Analysis with The Process of Statistical Analysis in Psychology for only $5 more! Bundle ISBN: 978-1-5443-0974-3
Author: Dawn M. McBride
Publisher: SAGE Publications
ISBN: 150632519X
Category : Psychology
Languages : en
Pages : 128
Get Book Here
Book Description
Packed with exercises, checklists, and how-to sections, this robust lab manual gives students hands-on guidance and practice for analyzing their own psychological research. The lab manual’s four sections include activities that correspond directly with the chapters of Dawn M. McBride’s The Process of Statistical Analysis in Psychology; activities related to data analysis projects (including data sets) that students can manipulate and analyze; activities designed to help students choose the correct test for different types of data; and exercises designed to help students write up results from analyses in APA style. INSTRUCTORS: Bundle the Lab Manual for Statistical Analysis with The Process of Statistical Analysis in Psychology for only $5 more! Bundle ISBN: 978-1-5443-0974-3
Author: Dawn M. McBride
Publisher: SAGE Publications
ISBN: 1544362013
Category : Psychology
Languages : en
Pages : 469
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Book Description
The Process of Research and Statistical Analysis in Psychology presents integrated coverage of psychological research methods and statistical analysis to illustrate how these two crucial processes work together to uncover new information. Best-selling author Dawn M. McBride draws on over 20 years of experience using a practical step-by-step approach in her teaching to guide students through the full process of designing, conducting, and presenting a research study. The text opens with introductory discussions of why psychologists conduct and analyze research before digging into the process of designing an experiment and performing statistical analyses. Each chapter concludes with exercises and activities that promote critical thinking, the smart consumption of research, and practical application. Students will come away with a complete picture of the role that research plays in psychology as well as their everyday lives.
Author: John Mandel
Publisher: Courier Corporation
ISBN: 048613959X
Category : Mathematics
Languages : en
Pages : 434
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Book Description
First half of book presents fundamental mathematical definitions, concepts, and facts while remaining half deals with statistics primarily as an interpretive tool. Well-written text, numerous worked examples with step-by-step presentation. Includes 116 tables.
Author: Andres Fortino
Publisher:
ISBN:
Category : Decision making
Languages : en
Pages : 200
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Book Description
Teaching the statistical analysis skills needed to support business decisions, this book provides projects ranging from the most basic descriptive analytical techniques to more advanced techniques such as linear regression, forecasting, inferential statistics, and more. --
Author: James M. Ryan
Publisher: JHU Press
ISBN: 1421426080
Category : Science
Languages : en
Pages : 192
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Book Description
Get outside! A hands-on lab manual for instructors incorporating fieldwork into their courses on mammalogy. Mammals inhabit nearly every continent and every sea. They have adapted to life underground, in the frozen Arctic, the hottest deserts, and every habitat in-between. In Mammalogy Techniques Lab Manual—the only field manual devoted to training the next generation of mammalogists—biologist and educator James M. Ryan details the modern research techniques today’s professionals use to study mammals wherever they are found. Ideal for any mammalogy or wildlife biology course, this clear and practical guide aids students by getting them outside to study mammals in their natural environments. Twenty comprehensive chapters cover skull and tooth identification, radio and satellite GPS tracking, phylogeny construction, mark and recapture techniques, camera trapping, museum specimen preparation, optimal foraging, and DNA extraction, among other topics. Each chapter includes several exercises with step-by-step instructions for students to collect and analyze their own data, along with background information, downloadable sample data sets (to use when it is not practical to be out in the field), and detailed descriptions of useful open-source software tools. This pragmatic resource provides students with real-world experience practicing the complex techniques used by modern wildlife biologists. With more than 60 applied exercises to choose from in this unique manual, students will quickly acquire the scientific skills essential for a career working with mammals.
Author: Andres Fortino
Publisher: Mercury Learning and Information
ISBN: 1683925912
Category : Computers
Languages : en
Pages : 254
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Book Description
This laboratory manual is intended for business analysts who wish to increase their skills in the use of statistical analysis to support business decisions. Most of the case studies use Excel, today's most common analysis tool. They range from the most basic descriptive analytical techniques to more advanced techniques such as linear regression and forecasting. Advanced projects cover inferential statistics for continuous variables (t-Test) and categorical variables (chi-square), as well as A/B testing. The manual ends with techniques to deal with the analysis of text data and tools to manage the analysis of large data sets (Big Data) using Excel. Includes companion files with solution spreadsheets, sample files, data sets, etc. from the book. Features: Teaches the statistical analysis skills needed to support business decisions Provides projects ranging from the most basic descriptive analytical techniques to more advanced techniques such as linear regression, forecasting, inferential statistics, and analyzing big data sets Includes companion files with solution spreadsheets, sample files, data sets, etc. used in the book's case studies The companion files are available online by emailing the publisher with proof of purchase at
[email protected].
Author: Angi M. Christensen
Publisher: Academic Press
ISBN: 0128123303
Category : Law
Languages : en
Pages : 340
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Book Description
A Laboratory Manual for Forensic Anthropology approaches forensic anthropology as a modern and well-developed science, and includes consideration of forensic anthropology within the broader forensic science community, with extensive use of case studies and recent research, technology and challenges that are applied in field and lab contexts. This book covers all practical aspects of forensic anthropology, from field recoveries, to lab analyses, emphasizing hands-on activities. Topics include human osteology and odontology, examination methods, medicolegal significance, scene processing methods, forensic taphonomy, skeletal processing and sampling, sex estimation, ancestry estimation, age estimation, stature estimation, skeletal variation, trauma analysis, and personal identification. Although some aspects are specific to the United States, the vast majority of the material is internationally-relevant and therefore suitable for forensic anthropology courses in other countries. - Provides a comprehensive lab manual that is applicable to coursework in forensic anthropology and archaeology - Covers all practical aspects of forensic anthropology, from field recoveries, to lab analyses - Includes discussions of human osteology and odontology, examination methods, medicolegal significance, scene processing methods, forensic taphonomy, skeletal processing and sampling, sex estimation, and more - Emphasizes best practices in the field, providing an approach that is in line with today's professional forensic anthropology
Author: Roger Eston
Publisher: Psychology Press
ISBN: 9780415236133
Category : Medical
Languages : en
Pages : 316
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Book Description
Kinanthropometrics is the study of the human body size and somatotypes and their quantitative relationships with exercise and nutrition. This is the second edition of a successful text on the subject.
Author: Richard C. Rich
Publisher: Routledge
ISBN: 1351613758
Category : Psychology
Languages : en
Pages : 398
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Book Description
Empirical Political Analysis introduces readers to the foundations of social science research. Organized around the stages of the research process, this textbook prepares readers to conduct both quantitative and qualitative research, from the formation of theory through the design of research projects, to the collection of data and the analysis of results. It offers a clear and concise presentation of basic concepts and tools that can be applied in a wide range of research settings and highlights ethical conduct in the research process. It will help you both to achieve sound results in your own research and to critically evaluate research presented by others. Key features: Offers comprehensive coverage of quantitative and qualitative research methods in political science – this book is one of the key texts in the field of political research methods since it was first published over 25 years ago. Covers the research process from start to finish—hypothesis formation, literature review, research design, data gathering, data analysis, and research report writing. Includes in-depth examples of political science research to give discipline-specific instruction on political analysis. Features a "Practical Research Ethics" box in every chapter to make students aware of common ethical dilemmas and potential solutions to them. Includes learning goals, key terms, and research examples to help students engage and explore the most important concepts. New to this edition: Updated and international case studies. New material on understanding research design – what constitutes a sound research design and how this contributes to being able to justify research findings.
Author: Gareth James
Publisher: Springer Nature
ISBN: 3031387473
Category : Mathematics
Languages : en
Pages : 617
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Book Description
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
