Search results for: statistics-in-a-nutshell

Statistics in a Nutshell

Author : Sarah Boslaugh
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Need to learn statistics as part of your job, or want some help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference that's perfect for anyone with no previous background in the subject. This book gives you a solid understanding of statistics without being too simple, yet without the numbing complexity of most college texts. You get a firm grasp of the fundamentals and a hands-on understanding of how to apply them before moving on to the more advanced material that follows. Each chapter presents you with easy-to-follow descriptions illustrated by graphics, formulas, and plenty of solved examples. Before you know it, you'll learn to apply statistical reasoning and statistical techniques, from basic concepts of probability and hypothesis testing to multivariate analysis. Organized into four distinct sections, Statistics in a Nutshell offers you: Introductory material: Different ways to think about statistics Basic concepts of measurement and probability theory Data management for statistical analysis Research design and experimental design How to critique statistics presented by others Basic inferential statistics: Basic concepts of inferential statistics The concept of correlation, when it is and is not an appropriate measure of association Dichotomous and categorical data The distinction between parametric and nonparametric statistics Advanced inferential techniques: The General Linear Model Analysis of Variance (ANOVA) and MANOVA Multiple linear regression Specialized techniques: Business and quality improvement statistics Medical and public health statistics Educational and psychological statistics Unlike many introductory books on the subject, Statistics in a Nutshell doesn't omit important material in an effort to dumb it down. And this book is far more practical than most college texts, which tend to over-emphasize calculation without teaching you when and how to apply different statistical tests. With Statistics in a Nutshell, you learn how to perform most common statistical analyses, and understand statistical techniques presented in research articles. If you need to know how to use a wide range of statistical techniques without getting in over your head, this is the book you want.

Statistics in a Nutshell

Author : Sarah Boslaugh
File Size : 89.78 MB
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A clear and concise introduction and reference for anyone new to the subject of statistics.

Statistics in a Nutshell

Author : Sarah Boslaugh
File Size : 74.28 MB
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An introduction to statistics covers the concepts of measurement and probability theory, correlation, inferential techniques, and statistical analysis.

Encyclopedia of Epidemiology

Author : Sarah Boslaugh
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The Encyclopedia of Epidemiology presents state-of-the-art information from the field of epidemiology in a less technical and accessible style and format. With more than 600 entries, no single reference provides as comprehensive a resource in as focused and appropriate manner. The entries cover every major facet of epidemiology, from risk ratios to case-control studies to mediating and moderating variables, and much more. Relevant topics from related fields such as biostatistics and health economics are also included.

An Intermediate Guide to SPSS Programming

Author : Sarah Boslaugh
File Size : 55.68 MB
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An Intermediate Guide to SPSS Programming: Using Syntax for Data Management introduces the major tasks of data management and presents solutions using SPSS syntax. This book fills an important gap in the education of many students and researchers, whose coursework has left them unprepared for the data management issues that confront them when they begin to do independent research. It also serves as an introduction to SPSS programming. All the basic features of SPSS syntax are illustrated, as are many intermediate and advanced topics such as using vectors and loops, reading complex data files, and using the SPSS macro language.

Design News

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R in a Nutshell

Author : Joseph Adler
File Size : 49.55 MB
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If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data. Author Joseph Adler illustrates each process with a wealth of examples from medicine, business, and sports. Updated for R 2.14 and 2.15, this second edition includes new and expanded chapters on R performance, the ggplot2 data visualization package, and parallel R computing with Hadoop. Get started quickly with an R tutorial and hundreds of examples Explore R syntax, objects, and other language details Find thousands of user-contributed R packages online, including Bioconductor Learn how to use R to prepare data for analysis Visualize your data with R’s graphics, lattice, and ggplot2 packages Use R to calculate statistical fests, fit models, and compute probability distributions Speed up intensive computations by writing parallel R programs for Hadoop Get a complete desktop reference to R

Statistics Essentials For Dummies

Author : Deborah J. Rumsey
File Size : 25.6 MB
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Statistics Essentials For Dummies not only provides studentsenrolled in Statistics I with an excellent high-level overview ofkey concepts, but it also serves as a reference or refresher forstudents in upper-level statistics courses. Free of review andramp-up material, Statistics Essentials For Dummies sticksto the point, with content focused on key course topics only. Itprovides discrete explanations of essential concepts taught in atypical first semester college-level statistics course, from oddsand error margins to confidence intervals and conclusions. Thisguide is also a perfect reference for parents who need to reviewcritical statistics concepts as they help high school students withhomework assignments, as well as for adult learners headed backinto the classroom who just need a refresher of the core concepts. The Essentials For Dummies Series Dummies is proud to present our new series, The Essentials ForDummies. Now students who are prepping for exams, preparing tostudy new material, or who just need a refresher can have aconcise, easy-to-understand review guide that covers an entirecourse by concentrating solely on the most important concepts. Fromalgebra and chemistry to grammar and Spanish, our expert authorsfocus on the skills students most need to succeed in a subject.

Statistical Mechanics in a Nutshell

Author : Luca Peliti
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A concise introduction to statistical mechanics Statistical mechanics is one of the most exciting areas of physics today, and it also has applications to subjects as diverse as economics, social behavior, algorithmic theory, and evolutionary biology. Statistical Mechanics in a Nutshell offers the most concise, self-contained introduction to this rapidly developing field. Requiring only a background in elementary calculus and elementary mechanics, this book starts with the basics, introduces the most important developments in classical statistical mechanics over the last thirty years, and guides readers to the very threshold of today's cutting-edge research. Statistical Mechanics in a Nutshell zeroes in on the most relevant and promising advances in the field, including the theory of phase transitions, generalized Brownian motion and stochastic dynamics, the methods underlying Monte Carlo simulations, complex systems—and much, much more. The essential resource on the subject, this book is the most up-to-date and accessible introduction available for graduate students and advanced undergraduates seeking a succinct primer on the core ideas of statistical mechanics. Provides the most concise, self-contained introduction to statistical mechanics Focuses on the most promising advances, not complicated calculations Requires only elementary calculus and elementary mechanics Guides readers from the basics to the threshold of modern research Highlights the broad scope of applications of statistical mechanics

Statistics I II For Dummies 2 eBook Bundle

Author : Deborah J. Rumsey
File Size : 44.16 MB
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Two complete eBooks for one low price! Created and compiled by the publisher, this Statistics I and Statistics II bundle brings together two math titles in one, e-only bundle. With this special bundle, you’ll get the complete text of the following two titles: Statistics For Dummies, 2nd Edition Statistics For Dummies shows you how to interpret and critique graphs and charts, determine the odds with probability, guesstimate with confidence using confidence intervals, set up and carry out a hypothesis test, compute statistical formulas, and more. Tracks to a typical first semester statistics course Updated examples resonate with today's students Explanations mirror teaching methods and classroom protocol Packed with practical advice and real-world problems, Statistics For Dummies gives you everything you need to analyze and interpret data for improved classroom or on-the-job performance. Statistics II For Dummies The ideal supplement and study guide for students preparing for advanced statistics. Packed with fresh and practical examples appropriate for a range of degree-seeking students, Statistics II For Dummies helps any reader succeed in an upper-level statistics course. It picks up with data analysis where Statistics For Dummies left off, featuring new and updated examples, real-world applications, and test-taking strategies for success. This easy-to-understand guide covers such key topics as sorting and testing models, using regression to make predictions, performing variance analysis (ANOVA), drawing test conclusions with chi-squares, and making comparisons with the Rank Sum Test. About the Author Deborah Rumsey has a PhD in Statistics from The Ohio State University. Upon graduating, she joined the faculty in the Department of Statistics at Kansas State University, where she won the distinguished Presidential Teaching Award and earned tenure and promotion. She returned to Ohio State and is now a Statistics Education Specialist/Auxiliary Faculty Member for the Department of Statistics. Dr. Rumsey has served on the American Statistical Associations Statistics Education Executive Committee and is the Editor of the Teaching Bits section of the Journal of Statistics Education. She is the author of the both books in this bundle. Additionally, she has published many papers and given many professional presentations on the subject of Statistics Education. Her particular research interests are curriculum materials development, teacher training and support, and immersive learning environments.

Health Care Systems Around the World

Author : Sarah Boslaugh
File Size : 41.49 MB
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Provides basic information about health care organization and outcomes, organized into 10 categories for 193 countries: emergency health services, insurance, costs of hospitalization, access to health care, cost of drugs, health care facilities, major health issues, health care personnel, government role in health care, and public health programs.

Learning to Use Statistical Tests in Psychology

Author : Greene
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Praise for the first edition: "An excellent textbook which is well planned, well written, and pitched at the correct level for psychology students. I would not hesitate to recommend Greene and d'Oliveira to all psychology students looking for an introductory text on statistical methodology." Bulletin of the British Psychological Society Learning to Use Statistical Tests in Psychology third edition has been updated throughout. It continues to be a key text in helping students to understand and conduct statistical tests in psychology without panic! It takes students from the most basic elements of statistics teaching them: How psychologists plan experiments and statistical tests Which considerations must be made when planning experiments How to analyze and comprehend test results Like the previous editions, this book provides students with a step-by-step guide to the simplest non-parametric tests through to more complex analysis of variance designs. There are clear summaries in progress boxes and questions for the student to answer in order to be sure that they have understood what they have read. The new edition is divided into four discrete sections and within this structure each test covered is illustrated through a chapter of its own. The sections cover: The principles of psychological research and psychological statistics Statistical tests for experiments with two or three conditions Statistical tests based on ANOVA (Analysis of Variance) conditions as well as tests for multiple comparisons between individual conditions Statistical tests to analyze relationships between variables Presented in a student-friendly textbook format, Learning to Use Psychological Tests in Psychology enables readers to select and use the most appropriate statistical tests to evaluate the significance of data obtained from psychological experiments. An errata sheet detailing the Decision Chart which is referred to can be downloaded by clicking here

Model Selection and Error Estimation in a Nutshell

Author : Luca Oneto
File Size : 20.91 MB
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How can we select the best performing data-driven model? How can we rigorously estimate its generalization error? Statistical learning theory answers these questions by deriving non-asymptotic bounds on the generalization error of a model or, in other words, by upper bounding the true error of the learned model based just on quantities computed on the available data. However, for a long time, Statistical learning theory has been considered only an abstract theoretical framework, useful for inspiring new learning approaches, but with limited applicability to practical problems. The purpose of this book is to give an intelligible overview of the problems of model selection and error estimation, by focusing on the ideas behind the different statistical learning theory approaches and simplifying most of the technical aspects with the purpose of making them more accessible and usable in practice. The book starts by presenting the seminal works of the 80’s and includes the most recent results. It discusses open problems and outlines future directions for research.

The Tariff in a Nutshell

Author : D. Webster Groh
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The Tariff in a Nutshell

Author : Joseph Barbière
File Size : 61.63 MB
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Legal Research in a Nutshell

Author : Morris L. Cohen
File Size : 35.88 MB
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Serving as both a text for beginning law students and a reference for experienced researchers, Legal Research in a Nutshell provides an overview of basic research methods. The expert authors discuss case law, statutes, secondary sources, and other research tools; they also analyze resources in more specialized areas, such as legislative history and administrative law. Completely updated with dozens of new Web addresses and 20 percent more illustrations of print and electronic sources, this comprehensive guide explains the investigative process using online databases, CD-ROM, and Internet resources, including free and commercial internet sites. Discussion also includes international and comparative law materials, as well as business and interdisciplinary research.

Web Design in a Nutshell

Author : Jennifer Niederst
File Size : 88.76 MB
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Offers access to a variety of front-end technologies and techniques while explaining how to work with HTML, graphics, and multimedia and interactive applications

C In a Nutshell

Author : Ray Lischner
File Size : 44.57 MB
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C++ is a powerful, highly flexible, and adaptable programming language that allows software engineers to organize and process information quickly and effectively. This is a complete reference to C++.

Sampling in a Nutshell

Author : Morris James Slonim
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Steps in a sample survey; Sampling and nonsampling errors; Some applications of sampling; Sampling of accouting data; Polls, prognosticators and program ratings; Simple random sampling; Stratified sampling; Cluster sampling; Systematic sampling; Interpenetrating replicate subsamples; Other sampling methods; Estimating procedures; Size of samples; Quality control; Acceptance sampling; Some case histories.

Sex Discrimination in a Nutshell

Author : Claire Sherman Thomas
File Size : 64.81 MB
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