Lab Manual for Statistical Analysis PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Lab Manual for Statistical Analysis PDF full book. Access full book title Lab Manual for Statistical Analysis by Dawn M. McBride. Download full books in PDF and EPUB format.
Author: Dawn M. McBride
Publisher: SAGE Publications
ISBN: 1506325165
Category : Psychology
Languages : en
Pages : 129
Get Book Here
Book Description
Packed with exercises, checklists, and how-to sections, the robust Lab Manual for Statistical Analysis by Dawn M. McBride and J. Cooper Cutting 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 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.
Author: Dawn M. McBride
Publisher: SAGE Publications
ISBN: 1506325165
Category : Psychology
Languages : en
Pages : 129
Get Book Here
Book Description
Packed with exercises, checklists, and how-to sections, the robust Lab Manual for Statistical Analysis by Dawn M. McBride and J. Cooper Cutting 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 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.
Author: Dawn M. McBride
Publisher: SAGE Publications
ISBN: 1544363524
Category : Psychology
Languages : en
Pages : 199
Get Book Here
Book Description
Lab Manual for Psychological Research and Statistical Analysis serves as an additional resource for students and instructors in a research methods, statistics, or combined course where classroom and/or laboratory exercises are conducted. Packed with exercises, checklists, and how-to sections, this robust lab manual gives students hands-on guidance and practice for conducting and analyzing their own psychological research. Dawn M. McBride and J. Cooper Cutting provide students with additional opportunities for practice in a course with challenging material that requires practice and repetition for deeper understanding.
Author: Andres Fortino
Publisher: Mercury Learning and Information
ISBN: 1683925912
Category : Computers
Languages : en
Pages : 245
Get Book Here
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: Dawn M. McBride
Publisher: SAGE Publications
ISBN: 1506325246
Category : Psychology
Languages : en
Pages : 303
Get Book Here
Book Description
This new introductory statistics text from Dawn M. McBride, best-selling author of The Process of Research in Psychology, covers the background and process of statistical analysis, along with how to use essential tools for working with data from the field. Research studies are included throughout from both the perspective of a student conducting their own research study and of someone encountering research in their daily life. McBride helps readers gain the knowledge they need to become better consumers of research and statistics used in everyday decision-making and connects the process of research design with the tools employed in statistical analysis. Instructors and students alike will appreciate the extra opportunities for practice with the accompanying Lab Manual for Statistical Analysis, also written by McBride and her frequent collaborator, J. Cooper Cutting.
Author: Diane L. Benner
Publisher:
ISBN: 9780534371579
Category : Mathematics
Languages : en
Pages : 100
Get Book Here
Book Description
This text-specific guide to the MINITAB statistical analysis system is keyed to the text discussions and examples.
Author: Dawn M. McBride
Publisher: SAGE Publications
ISBN: 1544363508
Category : Psychology
Languages : en
Pages : 161
Get Book Here
Book Description
This lab manual serves as an additional resource for students and instructors in a research methods, statistics, or combined course where classroom and/or laboratory exercises are conducted.
Author: Alfred Bartolucci
Publisher: John Wiley & Sons
ISBN: 1118736869
Category : Mathematics
Languages : en
Pages : 259
Get Book Here
Book Description
Introduction to Statistical Analysis of Laboratory Data presents a detailed discussion of important statistical concepts and methods of data presentation and analysis Provides detailed discussions on statistical applications including a comprehensive package of statistical tools that are specific to the laboratory experiment process Introduces terminology used in many applications such as the interpretation of assay design and validation as well as “fit for purpose” procedures including real world examples Includes a rigorous review of statistical quality control procedures in laboratory methodologies and influences on capabilities Presents methodologies used in the areas such as method comparison procedures, limit and bias detection, outlier analysis and detecting sources of variation Analysis of robustness and ruggedness including multivariate influences on response are introduced to account for controllable/uncontrollable laboratory conditions
Author: Dawn M. McBride
Publisher: SAGE Publications
ISBN: 1506311369
Category : Psychology
Languages : en
Pages : 190
Get Book Here
Book Description
Packed with checklists and how-to sections, Lab Manual for Psychological Research by Dawn M. McBride and J. Cooper Cutting includes a wealth of hands-on exercises focusing on research methods, research projects, APA style, and avoiding plagiarism. New to the Revised Third Edition are 13 exercises designed to help students develop some of the more difficult research skills. Bundle the lab manual with McBride’s The Process of Research in Psychology, Third Edition. Order using Bundle ISBN: 978-1-5063-2351-0.
Author: S. Suzanne Nielsen
Publisher: Springer Science & Business Media
ISBN: 1441914633
Category : Technology & Engineering
Languages : en
Pages : 150
Get Book Here
Book Description
This second edition laboratory manual was written to accompany Food Analysis, Fourth Edition, ISBN 978-1-4419-1477-4, by the same author. The 21 laboratory exercises in the manual cover 20 of the 32 chapters in the textbook. Many of the laboratory exercises have multiple sections to cover several methods of analysis for a particular food component of characteristic. Most of the laboratory exercises include the following: introduction, reading assignment, objective, principle of method, chemicals, reagents, precautions and waste disposal, supplies, equipment, procedure, data and calculations, questions, and references. This laboratory manual is ideal for the laboratory portion of undergraduate courses in food analysis.
Author: Hector Cuesta
Publisher: Packt Publishing Ltd
ISBN: 1785286668
Category : Computers
Languages : en
Pages : 330
Get Book Here
Book Description
A practical guide to obtaining, transforming, exploring, and analyzing data using Python, MongoDB, and Apache Spark About This Book Learn to use various data analysis tools and algorithms to classify, cluster, visualize, simulate, and forecast your data Apply Machine Learning algorithms to different kinds of data such as social networks, time series, and images A hands-on guide to understanding the nature of data and how to turn it into insight Who This Book Is For This book is for developers who want to implement data analysis and data-driven algorithms in a practical way. It is also suitable for those without a background in data analysis or data processing. Basic knowledge of Python programming, statistics, and linear algebra is assumed. What You Will Learn Acquire, format, and visualize your data Build an image-similarity search engine Generate meaningful visualizations anyone can understand Get started with analyzing social network graphs Find out how to implement sentiment text analysis Install data analysis tools such as Pandas, MongoDB, and Apache Spark Get to grips with Apache Spark Implement machine learning algorithms such as classification or forecasting In Detail Beyond buzzwords like Big Data or Data Science, there are a great opportunities to innovate in many businesses using data analysis to get data-driven products. Data analysis involves asking many questions about data in order to discover insights and generate value for a product or a service. This book explains the basic data algorithms without the theoretical jargon, and you'll get hands-on turning data into insights using machine learning techniques. We will perform data-driven innovation processing for several types of data such as text, Images, social network graphs, documents, and time series, showing you how to implement large data processing with MongoDB and Apache Spark. Style and approach This is a hands-on guide to data analysis and data processing. The concrete examples are explained with simple code and accessible data.
