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Applying and Interpreting Statistics by Glen McPherson Pdf
This book describes the basis, application, and interpretation of statistics, and presents a wide range of univariate and multivariate statistical methodology. The Second Edition retains the unique feature of being written from the users' perspective; it connects statistical models and methods to investigative questions and background information, and connects statistical results with interpretations in plain English. In keeping with this approach, methods are grouped by usage rather than by commonality of statistical methodology.
Interpreting Statistics for Beginners by Vladimir Hedrih,Andjelka Hedrih Pdf
Interpreting Statistics for Beginners teaches readers to correctly read and interpret results of basic statistical procedures as they are presented in scientific literature, and to understand what they can and cannot infer from such results. The first of its kind, this book explains key elements of scientific paradigms and philosophical concepts that the use of statistics is based on and introduces readers to basic statistical concepts, descriptive statistics and basic elements and procedures of inferential statistics. Explanations are accompanied with detailed examples from scientific publications to demonstrate how the procedures are used and correctly interpreted. Additionally, Interpreting Statistics for Beginners shows readers how to recognize pseudoscientific claims that use statistics or statements not based on the presented data, which is an important skill for every professional relying on statistics in their work. Written in an easy-to-read style and focusing on explaining concepts behind statistical calculations, the book is most helpful for readers with no previous training in statistics, and also those wishing to bridge the conceptual gap between doing the statistical calculations and interpreting the results.
A grasp of the ways in which data can be collected, summarised and critically appraised is fundamental to application of the commonly used inferential techniques of statistics. By reviewing the criteria for the design of questionnaires, planned experiments and surveys so as to minimise bias and by considering research methodology in general, this book clarifies the basic requirements of data collection. This introduction to statistics emphasizes the importance of data - its collection, summary and appraisal - in the application of statistical techniques. This book will be invaluable to first- year students in statistics as well as to students from other disciplines on courses with a 'statistics module'. Non-numerated postgradates embarking on research will also find much of the content useful.
Statistical Methods for the Information Professional by Liwen Vaughan Pdf
For most of us, "painless" is not the word that comes to mind when we think of statistics, but author and educator Liwen Vaughan wants to change that. In this unique and useful book, Vaughan clearly explains the statistical methods used in information science research, focusing on basic logic rather than mathematical intricacies. Her emphasis is on the meaning of statistics, when and how to apply them, and how to interpret the results of statistical analysis. Through the use of real-world examples, she shows how statistics can be used to improve services, make better decisions, and conduct more effective research. Whether you are doing statistical analysis or simply need to better understand the statistics you encounter in professional literature and the media, this book will be a valuable addition to your personal toolkit. Includes more than 80 helpful figures and tables, 7 appendices, bibliography, index.
Interpreting Basic Statistics by Keith S. Cox,Zealure C. Holcomb Pdf
Interpreting Basic Statistics gives students valuable practice in interpreting statistical reporting as it actually appears in peer-reviewed journals. Features of the ninth edition: • Covers a broad array of basic statistical concepts, including topics drawn from the New Statistics • Up-to-date journal excerpts reflecting contemporary styles in statistical reporting • Strong emphasis on data visualization • Ancillary materials include data sets with almost two hours of accompanying tutorial videos, which will help students and instructors apply lessons from the book to real-life scenarios About this book Each of the 63 exercises in the book contain three central components: 1) an introduction to a statistical concept, 2) a brief excerpt from a published research article that uses the statistical concept, and 3) a set of questions (with answers) that guides students into deeper learning about the concept. The questions on the journal excerpts promote learning by helping students • interpret information in tables and figures, • perform simple calculations to further their interpretations, • critique data-reporting techniques, and • evaluate procedures used to collect data. The questions in each exercise are divided into two parts: (1) Factual Questions and (2) Questions for Discussion. The Factual Questions require careful reading for details, while the discussion questions show that interpreting statistics is more than a mathematical exercise. These questions require students to apply good judgment as well as statistical reasoning in arriving at appropriate interpretations. Each exercise covers a limited number of topics, making it easy to coordinate the exercises with lectures or a traditional statistics textbook.
Interpreting Basic Statistics by Zealure C. Holcomb Pdf
• Students get valuable practice in interpreting statistical reporting as it actually appears in journals. In each of the 62 exercises, your students will read a brief excerpt of statistical reporting from a published research article. • Each exercise begins with guidelines for interpreting the statistics in the excerpt. • The questions on the excerpts promote learning by requiring students to · interpret information in tables and figures, · perform simple calculations to further their interpretations, · critique data-reporting techniques, and · evaluate procedures used to collect data. • Each exercise covers a limited number of statistics, making it easy for you to coordinate the exercises with lectures and a main textbook. • The questions in each exercise are divided into two parts: (1) Factual Questions and (2) Questions for Discussion. The factual questions require careful reading for details, while the discussion questions show students that interpreting statistics is more than a mathematical exercise. These questions require them to apply good judgment as well as statistical reasoning in arriving at appropriate interpretations. • Thirteen new exercises interspersed throughout show how to interpret a greater array of statistical reporting.
Interpreting Basic Statistics by Zealure C. Holcomb,Keith S. Cox Pdf
Interpreting Basic Statistics gives students valuable practice in interpreting statistical reporting as it actually appears in peer-reviewed journals. New to the eighth edition: A broader array of basic statistical concepts is covered, especially to better reflect the New Statistics. Journal excerpts have been updated to reflect current styles in statistical reporting. A stronger emphasis on data visualizations has been added. The statistical exercises have been re-organized into units to facilitate ease of use and understanding. About this book Each of the 64 exercises gives a brief excerpt of statistical reporting from a published research article, and begins with guidelines for interpreting the statistics in the excerpt. The questions on the excerpts promote learning by requiring students to interpret information in tables and figures, perform simple calculations to further their interpretations, critique data-reporting techniques, and evaluate procedures used to collect data. Each exercise covers a limited number of statistics, making it easy to coordinate the exercises with lectures and a main textbook. The questions in each exercise are divided into two parts: (1) Factual Questions and (2) Questions for Discussion. The factual questions require careful reading for details, while the discussion questions show that interpreting statistics is more than a mathematical exercise. These questions require students to apply good judgment as well as statistical reasoning in arriving at appropriate interpretations.
Applied Regression Analysis by Christer Thrane Pdf
This book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data. Contrary to other textbooks on regression, this book is based on the idea that you do not necessarily need to know much about statistics and mathematics to get a firm grip on regression and perform it to perfection. This non-technical point of departure is complemented by practical examples of real-life data analysis using statistics software such as Stata, R and SPSS. Parts 1 and 2 of the book cover the basics, such as simple linear regression, multiple linear regression, how to interpret the output from statistics programs, significance testing and the key regression assumptions. Part 3 deals with how to practically handle violations of the classical linear regression assumptions, regression modeling for categorical y-variables and instrumental variable (IV) regression. Part 4 puts the various purposes of, or motivations for, regression into the wider context of writing a scholarly report and points to some extensions to related statistical techniques. This book is written primarily for those who need to do regression analysis in practice, and not only to understand how this method works in theory. The book’s accessible approach is recommended for students from across the social sciences.
Applied Statistics for Social and Management Sciences by Abdul Quader Miah Pdf
This book addresses the application of statistical techniques and methods across a wide range of disciplines. While its main focus is on the application of statistical methods, theoretical aspects are also provided as fundamental background information. It offers a systematic interpretation of results often discovered in general descriptions of methods and techniques such as linear and non-linear regression. SPSS is also used in all the application aspects. The presentation of data in the form of tables and graphs throughout the book not only guides users, but also explains the statistical application and assists readers in interpreting important features. The analysis of statistical data is presented consistently throughout the text. Academic researchers, practitioners and other users who work with statistical data will benefit from reading Applied Statistics for Social and Management Sciences.
Using and Interpreting Statistics by Eric W. Corty Pdf
Eric Corty’s engaging textbook is exceptionally well suited for behavioral science students studying statistical practice in their field for the first time. An award-winning master teacher, Corty speaks to students in their language, with an approachable voice that conveys the basics of collecting and understanding statistical data step by step. Examples come from the behavioral and social sciences, as well as from recognizable aspects of everyday life to help students see the relevance of what they are studying.
Essential Statistics for Applied Linguistics by Wander Lowie,Bregtje Seton Pdf
Using numbers and research methods in your studies can be a little daunting at first. This book gives you straightforward guidance and no-nonsense advice on using, analysing and interpreting statistics and methodologies in empirical work. Each topic is introduced by an activity to help stimulate thought, and this is followed by a full explanation and exercises. Essential Statistics for Applied Linguistics: – explores different types of research and explains how to choose a methodology – gives clear explanations of statistical and mathematical terms – builds confidence and skills through hands-on exercises, examples and 'how-to' sections – offers online learning resources, including demonstrations with real data to be used with the software package SPSS Assuming no previous knowledge of methodology and statistics, this book will help you to acquire and strengthen your understanding, practice what you have learnt and feel comfortable with applying this new expertise to your own work.
This book provides introductory to advanced examples of how to use and interpret statistical analyses to accomplish a graduation project or any study. The book contains real-life comprehensive examples that will suffice students and researchers to complete their projects. This book addresses common mistakes and myths when applying and interpreting statistical analyses.In this book you will apply and interpret results related to:* Univariate and multivariate models* Logistic and multinomial regressions* Categorical data analysis* Hypothesis TestingEvery topic is supported by an R example. Excel examples are not provided for hypothesis testing, logistic models, or multivariate models.
Understanding and Applying Research Design by Martin Lee Abbott,Jennifer McKinney Pdf
A fresh approach to bridging research design with statistical analysis While good social science requires both research design and statistical analysis, most books treat these two areas separately. Understanding and Applying Research Design introduces an accessible approach to integrating design and statistics, focusing on the processes of posing, testing, and interpreting research questions in the social sciences. The authors analyze real-world data using SPSS software, guiding readers on the overall process of science, focusing on premises, procedures, and designs of social scientific research. Three clearly organized sections move seamlessly from theoretical topics to statistical techniques at the heart of research procedures, and finally, to practical application of research design: Premises of Research introduces the research process and the capabilities of SPSS, with coverage of ethics, Empirical Generalization, and Chi Square and Contingency Table Analysis Procedures of Research explores key quantitative methods in research design including measurement, correlation, regression, and causation Designs of Research outlines various design frameworks, with discussion of survey research, aggregate research, and experiments Throughout the book, SPSS software is used to showcase the discussed techniques, and detailed appendices provide guidance on key statistical procedures and tips for data management. Numerous exercises allow readers to test their comprehension of the presented material, and a related website features additional data sets and SPSS code. Understanding and Applying Research Design is an excellent book for social sciences and education courses on research methods at the upper-undergraduate level. The book is also an insightful reference for professionals who would like to learn how to pose, test, and interpret research questions with confidence.
This book provides introductory and intermediate examples of how to use and interpret statistical analyses to accomplish a graduation project or any study. The book contains real-life comprehensive examples that will suffice students and researchers to complete their projects. This book addresses common mistakes and myths when applying and interpreting statistical analyses.In this book you will learn:* How to interpret results * The best decisions on data transformation prior to modeling* The best linear model* Univariate versus multivariate modelsAbout the AuthorFaye Anderson, MS, PhD is a published author of many scientific publications. She has graduate degrees from Colorado State University and the University of Texas School of Public Health, and worked as a consultant and a statistician for more than twenty years.
