Statistics: A Gentle Introduction PDF Download
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Author: Frederick L. Coolidge
Publisher: SAGE
ISBN: 1412991714
Category : Computers
Languages : en
Pages : 489
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Book Description
This text provides readers with all they need to ensure that statistics are not difficult or dull
Author: Frederick L. Coolidge
Publisher: SAGE
ISBN: 1412991714
Category : Computers
Languages : en
Pages : 489
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Book Description
This text provides readers with all they need to ensure that statistics are not difficult or dull
Author: Frederick L Coolidge
Publisher: SAGE Publications Limited
ISBN:
Category : Mathematics
Languages : en
Pages : 312
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Book Description
Doing statistics for the first time? This work shows how statistics needn't be difficult or dull. It likens the role of the statistician to a detective, searching for clues to causation at the scene of a crime. It minimises the use of formulas, but provides a step-by-step approach to their solution, and includes practical assignments.
Author: Frederick Lawrence Coolidge
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 0
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Book Description
Author: Rugg, Gordon
Publisher: McGraw-Hill Education (UK)
ISBN: 0335222188
Category : Education
Languages : en
Pages : 151
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Book Description
An introduction to statistics covers the concepts measurement theory, descriptive statistics, knowlege reprensentation, probability theory, correlations, and parametric statistics.
Author: Alan C. Acock
Publisher: Stata Press
ISBN: 1597180432
Category : Computers
Languages : en
Pages : 357
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Book Description
"A Gentle Introduction to Stata, Second Edition is aimed at new Stata users who want to become proficient in Stata. After reading this introductory text, new users will not only be able to use Stata well but also learn new aspects of Stata easily. Acock assumes that the user is not familiar with any statistical software. This assumption of a blank slate is central to the structure and contents of the book. Acock starts with the basics; for example, the portion of the book that deals with data management begins with a careful and detailed example of turning survey data on paper into a Stata-ready dataset on the computer. When explaining how to go about basic exploratory statistical procedures, Acock includes notes that should help the reader develop good work habits. This mixture of explaining good Stata habits and good statistical habits continues throughout the book. Acock is quite careful to teach the reader all aspects of using Stata. He covers data management, good work habits (including the use of basic do-files), basic exploratory statistics (including graphical displays), and analyses using the standard array of basic statistical tools (correlation, linear and logistic regression, and parametric and nonparametric tests of location and dispersion). Acock teaches Stata commands by using the menus and dialog boxes while still stressing the value of do-files. In this way, he ensures that all types of users can build good work habits. Each chapter has exercises that the motivated reader can use to reinforce the material. The tone of the book is friendly and conversational without ever being glib or condescending. Important asides and notes about terminology are set off in boxes, which makes the text easy to read without any convoluted twists or forward-referencing. Rather than splitting topics by their Stata implementation, Acock chose to arrange the topics as they would be in a basic statistics textbook; graphics and postestimation are woven into the material in a natural fashion. Real datasets, such as the General Social Surveys from 2002 and 2006, are used throughout the book. The focus of the book is especially helpful for those in psychology and the social sciences, because the presentation of basic statistical modeling is supplemented with discussions of effect sizes and standardized coefficients. Various selection criteria, such as semipartial correlations, are discussed for model selection. The second edition of the book has been updated to reflect new features in Stata 10 and includes a new chapter on the use of factor analysis to develop valid, reliable scale measures."--Publisher's website.
Author: Steven Hayduk
Publisher:
ISBN: 9781607975601
Category :
Languages : en
Pages :
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Book Description
Author: Gordon Rugg
Publisher: Open University Press
ISBN: 9780335222193
Category : Education
Languages : en
Pages : 152
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Book Description
IF YOU'RE ENCOUNTERING STATISTICS FOR THE FIRST TIME, AND WANT A READABLE, SUPPORTIVE INTRODUCTION, THEN THIS IS THE BOOK FOR YOU. There are plenty of excellent stats books in the world, but very few of them are entertaining reading. One result is that many students are deterred by stats. But this book is different. Written in an informal style, it guides the reader gently through the field from the simplest descriptive statistics to multidimensional approaches. It's written in an accessible way, with few calculations and fewer equations, for readers from a broad set of academic disciplines ranging from archaeology to zoology. There are numerous illustrative examples that guide the reader through: How to answer various types of research question How to use different forms of analysis The strengths and weaknesses of particular methods Methods that may be useful but that don't usually appear in statistics books In this way, the book's emphasis is on understanding how statistics can be used to help answer research questions, rather than on the minute details of particular statistical tests. Using Statistics is key reading for students who are looking for help with quantitative projects, but would like a qualitative introduction that takes them gently through the process.
Author: Ron Cody
Publisher: SAS Institute
ISBN: 1954844476
Category : Computers
Languages : en
Pages : 324
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Book Description
Point and click your way to performing statistics! Many people are intimidated by learning statistics, but A Gentle Introduction to Statistics Using SAS Studio in the Cloud is here to help. Whether you need to perform statistical analysis for a project or, perhaps, for a course in education, psychology, sociology, economics, or any other field that requires basic statistical skills, this book teaches the fundamentals of statistics, from designing your experiment through calculating logistic regressions. Serving as an introduction to many common statistical tests and principles, it explains concepts in an intuitive way with little math and very few formulas. The book is full of examples demonstrating the use of SAS Studio’s easy point-and-click interface accessed with SAS OnDemand for Academics, an online delivery platform for teaching and learning statistical analysis that provides free access to SAS software via the cloud. Topics included in this book are: How to access SAS OnDemand for Academics Descriptive statistics One-sample tests T tests (for independent or paired samples) One-way analysis of variance (ANOVA) N-way ANOVA Correlation analysis Simple and multiple linear regression Binary logistic regression Categorical data, including two-way tables and chi-square Power and sample size calculations Questions are provided to test your knowledge and practice your skills.
Author: Ron Cody
Publisher:
ISBN: 9781642955323
Category : Computers
Languages : en
Pages : 236
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Book Description
Point and click your way to performing statistics! Many people are intimidated by learning statistics, but A Gentle Introduction to Statistics Using SAS(R) Studio is here to help. Whether you need to perform statistical analysis for a project or, perhaps, for a course in education, psychology, sociology, economics, or any other field that requires basic statistical skills, this book teaches the fundamentals of statistics, from designing your experiment through calculating logistic regressions. Serving as an introduction to many common statistical tests and principles, it explains concepts in a non-technical way with little math and very few formulas. Once the basic statistical concepts are covered, the book then demonstrates how to use them with SAS Studio and SAS University Edition's easy point-and-click interface. Topics included in this book are: How to install and use SAS University Edition Descriptive statistics One-sample tests T tests (for independent or paired samples) One-way analysis of variance (ANOVA) N-way ANOVA Correlation analysis Simple and multiple linear regression Binary logistic regression Categorical data, including two-way tables and chi-square Power and sample size calculations Questions are provided to test your knowledge and practice your skills.
Author: Patrick E. McKnight
Publisher: Guilford Press
ISBN: 1606238205
Category : Social Science
Languages : en
Pages : 269
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Book Description
While most books on missing data focus on applying sophisticated statistical techniques to deal with the problem after it has occurred, this volume provides a methodology for the control and prevention of missing data. In clear, nontechnical language, the authors help the reader understand the different types of missing data and their implications for the reliability, validity, and generalizability of a study’s conclusions. They provide practical recommendations for designing studies that decrease the likelihood of missing data, and for addressing this important issue when reporting study results. When statistical remedies are needed--such as deletion procedures, augmentation methods, and single imputation and multiple imputation procedures--the book also explains how to make sound decisions about their use. Patrick E. McKnight's website offers a periodically updated annotated bibliography on missing data and links to other Web resources that address missing data.
