Lab Manual for Statistical Analysis

Lab Manual for Statistical Analysis PDF 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

Lab Manual for Statistical Analysis

Lab Manual for Statistical Analysis PDF 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

The Process of Research and Statistical Analysis in Psychology

The Process of Research and Statistical Analysis in Psychology PDF 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.

The Statistical Analysis of Experimental Data

The Statistical Analysis of Experimental Data PDF 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.

Data Analysis for Business Decision Making

Data Analysis for Business Decision Making PDF 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. --

A Laboratory Manual for Forensic Anthropology

A Laboratory Manual for Forensic Anthropology PDF 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

Kinanthropometry and Exercise Physiology Laboratory Manual

Kinanthropometry and Exercise Physiology Laboratory Manual PDF 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.

Mammalogy Techniques Lab Manual

Mammalogy Techniques Lab Manual PDF 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.

Data Analysis for Business Decisions

Data Analysis for Business Decisions PDF 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].

Laboratory Statistics

Laboratory Statistics PDF Author: Anders Kallner
Publisher: Elsevier
ISBN: 0124169732
Category : Science
Languages : en
Pages : 154

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Book Description
Laboratory Statistics: Handbook of Formulas and Terms presents common strategies for comparing and evaluating numerical laboratory data. In particular, the text deals with the type of data and problems that laboratory scientists and students in analytical chemistry, clinical chemistry, epidemiology, and clinical research face on a daily basis. This book takes the mystery out of statistics and provides simple, hands-on instructions in the format of everyday formulas. As far as possible, spreadsheet shortcuts and functions are included, along with many simple worked examples. This book is a must-have guide to applied statistics in the lab that will result in improved experimental design and analysis. - Comprehensive coverage of simple statistical concepts familiarizes the reader with formatted statistical expression - Simple, worked examples make formulas easy to use in real life - Spreadsheet functions demonstrate how to find immediate solutions to common problems - In-depth indexing and frequent use of synonyms facilitate the quick location of appropriate procedures

An Introduction to Statistical Learning

An Introduction to Statistical Learning PDF 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.