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Lab Manual For Statistical Analysis
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Book Synopsis Lab Manual for Statistical Analysis by : Dawn M. McBride
Download or read book Lab Manual for Statistical Analysis written by Dawn M. McBride and published by SAGE Publications. This book was released on 2017-08-31 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Lab Manual for Psychological Research and Statistical Analysis by : Dawn M. McBride
Download or read book Lab Manual for Psychological Research and Statistical Analysis written by Dawn M. McBride and published by SAGE Publications. This book was released on 2019-07-17 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis The Process of Statistical Analysis in Psychology by : Dawn M. McBride
Download or read book The Process of Statistical Analysis in Psychology written by Dawn M. McBride and published by SAGE Publications. This book was released on 2017-09-20 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Lab Manual for Statistical Analysis by : Dawn M. McBride
Download or read book Lab Manual for Statistical Analysis written by Dawn M. McBride and published by SAGE Publications. This book was released on 2017-08-31 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Elementary Statistics by : Diane L. Benner
Download or read book Elementary Statistics written by Diane L. Benner and published by . This book was released on 1999-09 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text-specific guide to the MINITAB statistical analysis system is keyed to the text discussions and examples.
Book Synopsis Practical Statistics for Data Scientists by : Peter Bruce
Download or read book Practical Statistics for Data Scientists written by Peter Bruce and published by "O'Reilly Media, Inc.". This book was released on 2017-05-10 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data
Book Synopsis Data Analysis for Business Decisions by : Andres Fortino
Download or read book Data Analysis for Business Decisions written by Andres Fortino and published by Mercury Learning and Information. This book was released on 2020-08-05 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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].
Book Synopsis Lab Manual for Psychological Research and Statistical Analysis by : Dawn M. McBride
Download or read book Lab Manual for Psychological Research and Statistical Analysis written by Dawn M. McBride and published by SAGE Publications. This book was released on 2019-07-17 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Practical Data Analysis by : Hector Cuesta
Download or read book Practical Data Analysis written by Hector Cuesta and published by Packt Publishing Ltd. This book was released on 2016-09-30 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Practical Statistics by : David Kremelberg
Download or read book Practical Statistics written by David Kremelberg and published by SAGE Publications. This book was released on 2010-03-18 with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Lab Manual for Psychological Research by : Dawn M. McBride
Download or read book Lab Manual for Psychological Research written by Dawn M. McBride and published by SAGE Publications. This book was released on 2015-08-14 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Introduction to Statistical Analysis of Laboratory Data by : Alfred Bartolucci
Download or read book Introduction to Statistical Analysis of Laboratory Data written by Alfred Bartolucci and published by John Wiley & Sons. This book was released on 2015-12-02 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis The Statistical Analysis of Experimental Data by : John Mandel
Download or read book The Statistical Analysis of Experimental Data written by John Mandel and published by Courier Corporation. This book was released on 2012-06-08 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Physics Lab Manual written by David Loyd and published by Cengage Learning. This book was released on 2007-10-04 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ideal for use with any introductory physics text, Loyd's PHYSICS LABORATORY MANUAL is suitable for either calculus- or algebra/trigonometry-based physics courses. Designed to help students develop their intuitive abilities in physics, the third edition has been updated to take advantage of modern equipment realities and to incorporate the latest in physics education research. In each lab, author David Loyd emphasizes conceptual understanding and includes a thorough discussion of physical theory to help students see the connection between the lab and the lecture. Each lab includes a set of pre-lab exercises, and many labs give students hands-on experience with statistical analysis. Equipment requirements are kept at a minimum to allow for maximum flexibility and to make the most of pre-existing lab equipment. For instructors interested in using some of Loyd's experiments, a customized lab manual is another option available through the Cengage Learning Custom Solutions program. Now, you can select specific experiments from Loyd's PHYSICS LABORATORY MANUAL, include your own original lab experiments, and create one affordable bound book. Contact your Cengage Learning representative for more information on our Custom Solutions program. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Book Synopsis Empirical Political Analysis by : Richard C. Rich
Download or read book Empirical Political Analysis written by Richard C. Rich and published by Routledge. This book was released on 2018-06-12 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis An Introduction to Statistical Learning by : Gareth James
Download or read book An Introduction to Statistical Learning written by Gareth James and published by Springer Nature. This book was released on 2023-08-01 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis The Process of Statistical Analysis in Psychology by : Dawn M. McBride
Download or read book The Process of Statistical Analysis in Psychology written by Dawn M. McBride and published by SAGE Publications. This book was released on 2017-09-20 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
