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The State of the World Atlas

by Dan Smith

'Unique and uniquely beautiful... A single map here tells us more about the world today than a dozen abstracts or scholarly tomes.’—Los Angeles Times'These are the bad dreams of the modern world submitted to a grid that can be grasped instantaneously.’—New York TimesA groundbreaking atlas and milestone of graphic reporting, this statistically meticulous presentation of trends in maps and charts explains the most challenging issues facing the world today.Authored by leading international peace researcher Dan Smith OBE, it has sold over 800,000 copies in different languages around the world.With the economic, global health and geopolitical reverberations of Covid-19 referenced throughout, other topics for this new 10th edition include: health – education and gender inequalities – human rights abuses – financial corruption – military might – chemical warfare – plastic waste – climate change.

The State of Theory

by Richard Bradford

First published in 1993. Routledge is an imprint of Taylor & Francis, an informa company.

The State of Theory

by Richard Bradford

First published in 1993. Routledge is an imprint of Taylor & Francis, an informa company.

Statement and Referent: An Inquiry into the Foundations of Our Conceptual Order (Synthese Library #224)

by D.S. Shwayder

There are in this volume sentences written as long ago/ as 1957. What was then projected as the third part of a modest discussion of then current issues has, through some fifteen revisions, now expanded into its own three parts. Of the project as originally conceived, the first part, itself grown too large, was published (prematurely, I now believe) in 1965 (Stratification of Behaviour). The second part, which was to be on language proper, was abandoned around 1967; such materials on language as I need for the present work are now mostly compressed into Chapter 1, with some scatterings retained in Chapters 2 and 14. My scheme discovered problems with which I have been much preoccupied. I have been less enjoyably delayed by missteps. Additions were put on and the renovations have been incessant. Even in the course of my ultimate revisions, I ran into slippery stretches and soft spots I could only gesture at repairing. But now time is running out and my energy is ebbing, and I must allow the work to come to its conclusion, with reservations certainly and not without a sense of despair. If the reception of this volume warrants, the two following parts will be wound up in what I hope may be fairly short order.

States at War: A Reference Guide for Michigan in the Civil War (States At War Ser.)

by Richard F Miller

Unlike most books about the Civil War, which address individual battles or the war at the national level, States at War: A Reference Guide for Michigan in the Civil War chronicles the actions of an individual state government and its citizenry coping with the War and its ramifications, from transformed race relations and gender roles, to the suspension of habeas corpus, to the deaths of over 10,000 Michigan fathers, husbands, sons, and brothers who had been in action. The book compiles primary source material—including official reports, legislative journals, executive speeches, special orders, and regional newspapers—to provide an exhaustive record of the important roles Michigan and Michiganders had in the War. Though not burdened by marching armies or military occupation like some states to the southeast, Michigan nevertheless had a fascinating Civil War experience that was filled with acute economic anxieties, intense political divisions, and vital contributions on the battlefield. This comprehensive volume will be the essential starting point for all future research into Michigan’s Civil War-era history.

States Undermining International Law: The League of Nations, United Nations, and Failed Utopianism (Philosophy, Public Policy, and Transnational Law)

by Deepak Mawar

This book analyses the history of international law to reveal the significant role utopianism has played in developing the international legal system. In fact, when pinpointing the legal system’s most accelerated phases of development, it becomes increasingly apparent how integral utopianism has been in dealing with the international community’s most troubled periods such as the World Wars. However, States have on numerous occasions undermined utopianism, leading to situations where individuals and communities have been vulnerable to modes of oppression such as war or repressive regimes. Thus, by examining the League of Nations and United Nations, this book seeks to show why utopianism continues to be a vital ingredient when the international community is seeking to ensure its loftiest and most ambitious goals such as maintaining international peace and security, and why for the sake of such utopian aspirations, the primary position States enjoy in international law requires reassessment.

Statin Nation: The Ill-Founded War on Cholesterol, What Really Causes Heart Disease, and the Truth About the Most Overprescribed Drugs in the World

by Justin Smith

Heart disease is the leading cause of death worldwide, and for decades conventional health authorities have pushed that the culprits are fat and cholesterol clogging up coronary arteries. Consequently, lowering cholesterol has become a hugely lucrative business, and cholesterol-lowering Statin drugs are now the most prescribed medication in the world, with clinical data showing one billion people eligible for prescription. However, these cholesterol guidelines have been heavily criticized, and increasingly, doctors and researchers have been questioning the role cholesterol plays in heart disease. We now know that people with heart disease often do not, in fact, have high cholesterol, and even the strongest supporters of the cholesterol hypothesis now admit that no ideal level of cholesterol can be identified. Large-scale studies have proven that statins are not generating the benefits that were predicted, and new research shows that high cholesterol may actually prevent heart disease. Worse still, millions of people in the United States and worldwide are taking statins preventatively, at great cost to their health. A complete reevaluation of the real causes of heart disease is long overdue, not to mention an inquiry into why the pharmaceutical industry continues to overprescribe statins (and market them aggressively to consumers) despite this evidence. Statin Nation offers a new understanding of heart disease, and Justin Smith forges an innovative path away from the outdated cholesterol myth with a viable alternative model to address the real causes of heart disease. Statin Nation provides detailed examinations of nutritional alternatives that are up to six times more effective than statins, and other interventions that have been shown to be up to eleven times more effective than statins. But all of these methods are currently ignored by health authorities. Smith provides a heart disease prevention plan that anyone can use, providing hope for the future of heart-disease treatment with a purpose.

Stationen. Dem Philosophen und Physiker Moritz Schlick zum 125. Geburtstag (Schlick Studien #1)

by Edwin Glassner Fynn Ole Engler Massimo Ferrari Tobias Fox Björn Henning Mathias Iven Steffen Kluck Renate Lotz-Rimbach Thomas Oberdan

Die in den Schlick Studien vereinten Texte sind Ergebnisse der rezenten internationalen Forschung zu Leben und Werk Moritz Schlicks. Ein Schwerpunkt besteht in der Dokumentation und Aufarbeitung des Nachlasses. Die Schlick Studien sind als Ergänzung und Vertiefung der Arbeit an der Moritz Schlick Gesamtausgabe gedacht und als Reihe auf mehrere Bände hin konzipiert. Beiträge werden sowohl von den Mitarbeitern des Moritz Schlick Projekts wie auch von externen Forschern beigesteuert. Der erste Band enthält elf Artikel zu den Themen Naturphilosophie und Physik einerseits (Relativitätstheorie, Quantenphysik) sowie allgemein zu Leben und Werk Schlicks andererseits (Schlick als Pädagoge, Schlick und Wittgenstein, Schlick und Jacoby, Schlicks Berufung nach Wien etc.). Die Bände der Reihe richten sich an all jene, die rund um die Moritz Schlick Gesamtausgabe weiterführende Literatur zur Moritz-Schlick-Forschung suchen.

The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach (Chapman & Hall/CRC Monographs on Statistics and Applied Probability #1)

by Ross L. Prentice Shanshan Zhao

The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach provides an innovative look at methods for the analysis of correlated failure times. The focus is on the use of marginal single and marginal double failure hazard rate estimators for the extraction of regression information. For example, in a context of randomized trial or cohort studies, the results go beyond that obtained by analyzing each failure time outcome in a univariate fashion. The book is addressed to researchers, practitioners, and graduate students, and can be used as a reference or as a graduate course text. Much of the literature on the analysis of censored correlated failure time data uses frailty or copula models to allow for residual dependencies among failure times, given covariates. In contrast, this book provides a detailed account of recently developed methods for the simultaneous estimation of marginal single and dual outcome hazard rate regression parameters, with emphasis on multiplicative (Cox) models. Illustrations are provided of the utility of these methods using Women’s Health Initiative randomized controlled trial data of menopausal hormones and of a low-fat dietary pattern intervention. As byproducts, these methods provide flexible semiparametric estimators of pairwise bivariate survivor functions at specified covariate histories, as well as semiparametric estimators of cross ratio and concordance functions given covariates. The presentation also describes how these innovative methods may extend to handle issues of dependent censorship, missing and mismeasured covariates, and joint modeling of failure times and covariates, setting the stage for additional theoretical and applied developments. This book extends and continues the style of the classic Statistical Analysis of Failure Time Data by Kalbfleisch and Prentice. Ross L. Prentice is Professor of Biostatistics at the Fred Hutchinson Cancer Research Center and University of Washington in Seattle, Washington. He is the recipient of COPSS Presidents and Fisher awards, the AACR Epidemiology/Prevention and Team Science awards, and is a member of the National Academy of Medicine. Shanshan Zhao is a Principal Investigator at the National Institute of Environmental Health Sciences in Research Triangle Park, North Carolina.

The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach (Chapman & Hall/CRC Monographs on Statistics and Applied Probability #1)

by Ross L. Prentice Shanshan Zhao

The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach provides an innovative look at methods for the analysis of correlated failure times. The focus is on the use of marginal single and marginal double failure hazard rate estimators for the extraction of regression information. For example, in a context of randomized trial or cohort studies, the results go beyond that obtained by analyzing each failure time outcome in a univariate fashion. The book is addressed to researchers, practitioners, and graduate students, and can be used as a reference or as a graduate course text. Much of the literature on the analysis of censored correlated failure time data uses frailty or copula models to allow for residual dependencies among failure times, given covariates. In contrast, this book provides a detailed account of recently developed methods for the simultaneous estimation of marginal single and dual outcome hazard rate regression parameters, with emphasis on multiplicative (Cox) models. Illustrations are provided of the utility of these methods using Women’s Health Initiative randomized controlled trial data of menopausal hormones and of a low-fat dietary pattern intervention. As byproducts, these methods provide flexible semiparametric estimators of pairwise bivariate survivor functions at specified covariate histories, as well as semiparametric estimators of cross ratio and concordance functions given covariates. The presentation also describes how these innovative methods may extend to handle issues of dependent censorship, missing and mismeasured covariates, and joint modeling of failure times and covariates, setting the stage for additional theoretical and applied developments. This book extends and continues the style of the classic Statistical Analysis of Failure Time Data by Kalbfleisch and Prentice. Ross L. Prentice is Professor of Biostatistics at the Fred Hutchinson Cancer Research Center and University of Washington in Seattle, Washington. He is the recipient of COPSS Presidents and Fisher awards, the AACR Epidemiology/Prevention and Team Science awards, and is a member of the National Academy of Medicine. Shanshan Zhao is a Principal Investigator at the National Institute of Environmental Health Sciences in Research Triangle Park, North Carolina.

Statistical Computing with R, Second Edition (Chapman & Hall/CRC The R Series)

by Maria L. Rizzo

Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. This second edition continues to encompass the traditional core material of computational statistics, with an

Statistical Computing with R, Second Edition (Chapman & Hall/CRC The R Series)

by Maria L. Rizzo

Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. This second edition continues to encompass the traditional core material of computational statistics, with an

Statistical Machine Learning: A Unified Framework (Chapman & Hall/CRC Texts in Statistical Science)

by Richard Golden

The recent rapid growth in the variety and complexity of new machine learning architectures requires the development of improved methods for designing, analyzing, evaluating, and communicating machine learning technologies. Statistical Machine Learning: A Unified Framework provides students, engineers, and scientists with tools from mathematical statistics and nonlinear optimization theory to become experts in the field of machine learning. In particular, the material in this text directly supports the mathematical analysis and design of old, new, and not-yet-invented nonlinear high-dimensional machine learning algorithms. Features: Unified empirical risk minimization framework supports rigorous mathematical analyses of widely used supervised, unsupervised, and reinforcement machine learning algorithms Matrix calculus methods for supporting machine learning analysis and design applications Explicit conditions for ensuring convergence of adaptive, batch, minibatch, MCEM, and MCMC learning algorithms that minimize both unimodal and multimodal objective functions Explicit conditions for characterizing asymptotic properties of M-estimators and model selection criteria such as AIC and BIC in the presence of possible model misspecification This advanced text is suitable for graduate students or highly motivated undergraduate students in statistics, computer science, electrical engineering, and applied mathematics. The text is self-contained and only assumes knowledge of lower-division linear algebra and upper-division probability theory. Students, professional engineers, and multidisciplinary scientists possessing these minimal prerequisites will find this text challenging yet accessible. About the Author: Richard M. Golden (Ph.D., M.S.E.E., B.S.E.E.) is Professor of Cognitive Science and Participating Faculty Member in Electrical Engineering at the University of Texas at Dallas. Dr. Golden has published articles and given talks at scientific conferences on a wide range of topics in the fields of both statistics and machine learning over the past three decades. His long-term research interests include identifying conditions for the convergence of deterministic and stochastic machine learning algorithms and investigating estimation and inference in the presence of possibly misspecified probability models.

Statistical Machine Learning: A Unified Framework (Chapman & Hall/CRC Texts in Statistical Science)

by Richard Golden

The recent rapid growth in the variety and complexity of new machine learning architectures requires the development of improved methods for designing, analyzing, evaluating, and communicating machine learning technologies. Statistical Machine Learning: A Unified Framework provides students, engineers, and scientists with tools from mathematical statistics and nonlinear optimization theory to become experts in the field of machine learning. In particular, the material in this text directly supports the mathematical analysis and design of old, new, and not-yet-invented nonlinear high-dimensional machine learning algorithms. Features: Unified empirical risk minimization framework supports rigorous mathematical analyses of widely used supervised, unsupervised, and reinforcement machine learning algorithms Matrix calculus methods for supporting machine learning analysis and design applications Explicit conditions for ensuring convergence of adaptive, batch, minibatch, MCEM, and MCMC learning algorithms that minimize both unimodal and multimodal objective functions Explicit conditions for characterizing asymptotic properties of M-estimators and model selection criteria such as AIC and BIC in the presence of possible model misspecification This advanced text is suitable for graduate students or highly motivated undergraduate students in statistics, computer science, electrical engineering, and applied mathematics. The text is self-contained and only assumes knowledge of lower-division linear algebra and upper-division probability theory. Students, professional engineers, and multidisciplinary scientists possessing these minimal prerequisites will find this text challenging yet accessible. About the Author: Richard M. Golden (Ph.D., M.S.E.E., B.S.E.E.) is Professor of Cognitive Science and Participating Faculty Member in Electrical Engineering at the University of Texas at Dallas. Dr. Golden has published articles and given talks at scientific conferences on a wide range of topics in the fields of both statistics and machine learning over the past three decades. His long-term research interests include identifying conditions for the convergence of deterministic and stochastic machine learning algorithms and investigating estimation and inference in the presence of possibly misspecified probability models.

Statistical Methods for Field and Laboratory Studies in Behavioral Ecology (Chapman & Hall/CRC Applied Environmental Statistics)

by Scott Pardo Michael Pardo

Statistical Methods for Field and Laboratory Studies in Behavioral Ecology focuses on how statistical methods may be used to make sense of behavioral ecology and other data. It presents fundamental concepts in statistical inference and intermediate topics such as multiple least squares regression and ANOVA. The objective is to teach students to recognize situations where various statistical methods should be used, understand the strengths and limitations of the methods, and to show how they are implemented in R code. Examples are based on research described in the literature of behavioral ecology, with data sets and analysis code provided. Features: This intermediate to advanced statistical methods text was written with the behavioral ecologist in mind Computer programs are provided, written in the R language. Datasets are also provided, mostly based, at least to some degree, on real studies. Methods and ideas discussed include multiple regression and ANOVA, logistic and Poisson regression, machine learning and model identification, time-to-event modeling, time series and stochastic modeling, game-theoretic modeling, multivariate methods, study design/sample size, and what to do when things go wrong. It is assumed that the reader has already had exposure to statistics through a first introductory course at least, and also has sufficient knowledge of R. However, some introductory material is included to aid the less initiated reader. Scott Pardo, Ph.D., is an accredited professional statistician (PStat®) by the American Statistical Association. Michael Pardo is a Ph.D. is a candidate in behavioral ecology at Cornell University, specializing in animal communication and social behavior.

Statistical Methods for Organizational Research: Theory and Practice

by Chris Dewberry

This clearly written textbook clarifies the concepts underpinning descriptive and inferential statistics in organizational research. Acting as much more than a theoretical reference tool, step-by-step it guides readers through the various key stages of successful data analysis. Covering everything from introductory descriptive statistics to advanced inferential techniques such as ANOVA, multiple and logistic regression and factor analysis, this is one of the most comprehensive textbooks available. Using examples directly relevant to organizational research it includes practical advice on such topics as the size of samples required in research studies, using and interpreting SPSS, and writing up results. In helping readers to develop a sound understanding of statistical methods, rather than focusing on complex formulas and computations, this outstanding textbook is as appropriate for those who wish to refresh their knowledge as those new to the subject area.

Statistical Physics: Volume 1 of Modern Classical Physics

by Kip S. Thorne Roger D. Blandford

A groundbreaking textbook on twenty-first-century statistical physics and its applicationsKip Thorne and Roger Blandford’s monumental Modern Classical Physics is now available in five stand-alone volumes that make ideal textbooks for individual graduate or advanced undergraduate courses on statistical physics; optics; elasticity and fluid dynamics; plasma physics; and relativity and cosmology. Each volume teaches the fundamental concepts, emphasizes modern, real-world applications, and gives students a physical and intuitive understanding of the subject.Statistical Physics is an essential introduction that is different from others on the subject because of its unique approach, which is coordinate-independent and geometric; embraces and elucidates the close quantum-classical connection and the relativistic and Newtonian domains; and demonstrates the power of statistical techniques—particularly statistical mechanics—by presenting applications not only to the usual kinds of things, such as gases, liquids, solids, and magnetic materials, but also to a much wider range of phenomena, including black holes, the universe, information and communication, and signal processing amid noise.Includes many exercise problemsFeatures color figures, suggestions for further reading, extensive cross-references, and a detailed indexOptional “Track 2” sections make this an ideal book for a one-quarter, half-semester, or full-semester courseAn online illustration package is available to professorsThe five volumes, which are available individually as paperbacks and ebooks, are Statistical Physics; Optics; Elasticity and Fluid Dynamics; Plasma Physics; and Relativity and Cosmology.

Statistical Power Analysis for the Behavioral Sciences

by Jacob Cohen

Statistical Power Analysis for the Behavioral Sciences, Revised Edition emphasizes the importance of statistical power analysis. This edition discusses the concepts and types of power analysis, t test for means, significance of a product moment rs, and differences between correlation coefficients. The test that a proportion is .50 and sign test, differences between proportions, and chi-square tests for goodness of fit and contingency tables are also elaborated. This text likewise covers the F tests of variance proportions in multiple regression/correlation analysis and computational procedures. This publication is intended for behavioral and biosocial scientists who use statistical inference, but also serves as a supplementary textbook for intermediate level courses in applied statistics in behavioral/biosocial science.

Statistical Testing With Jamovi And Jasp Open Source Software Psychology: (pdf)

by Cole Davis

Worked examples from psychology Clearly written, without mathematical formulae Well-structured, for beginners and intermediate readers Comprehensive chapter on categorical analysis - not just 'Chi squared' Effect sizes and confidence intervals Clear explanation of factor analysis Covers MANOVA, logistic regression and survival analysis Introduces Bayesian statistics Reproduces a well-received short chapter on making presentations Data sets and case studies on the website

Statistics All-in-One For Dummies

by Deborah J. Rumsey

The odds-on best way to master stats. Statistics All-in-One For Dummies is packed with lessons, examples, and practice problems to help you slay your stats course. Develop confidence and understanding in statistics with easy-to-understand (even fun) explanations of key concepts. Plus, you&’ll get access to online chapter quizzes and other resources that will turn you into a stats master. This book teaches you how to interpret graphs, determine probability, critique data, and so much more. Written by an expert author and serious statistics nerd, Statistics AIO For Dummies explains everything in terms anyone can understand. Get a grasp of basic statistics concepts required in every statistics course Clear up the process of interpreting graphs, understanding polls, and analyzing data Master correlation, regression, and other data analysis tools Score higher on stats tests and get a better grade in your high school or college classStatistics All-in-One For Dummies follows the curriculum of intro college statistics courses (including AP Stats!) so you can learn everything you need to know to get the grade you need—the Dummies way.

Statistics All-in-One For Dummies

by Deborah J. Rumsey

The odds-on best way to master stats. Statistics All-in-One For Dummies is packed with lessons, examples, and practice problems to help you slay your stats course. Develop confidence and understanding in statistics with easy-to-understand (even fun) explanations of key concepts. Plus, you&’ll get access to online chapter quizzes and other resources that will turn you into a stats master. This book teaches you how to interpret graphs, determine probability, critique data, and so much more. Written by an expert author and serious statistics nerd, Statistics AIO For Dummies explains everything in terms anyone can understand. Get a grasp of basic statistics concepts required in every statistics course Clear up the process of interpreting graphs, understanding polls, and analyzing data Master correlation, regression, and other data analysis tools Score higher on stats tests and get a better grade in your high school or college classStatistics All-in-One For Dummies follows the curriculum of intro college statistics courses (including AP Stats!) so you can learn everything you need to know to get the grade you need—the Dummies way.

Statistics and Probability in Forensic Anthropology

by Zuzana Obertová Alistair Stewart Cristina Cattaneo

Statistics and Probability in Forensic Anthropology provides a practical guide for forensic scientists, primarily anthropologists and pathologists, on how to design studies, how to choose and apply statistical approaches, and how to interpret statistical outcomes in the forensic practice. As with other forensic, medical and biological disciplines, statistics have become increasingly important in forensic anthropology and legal medicine, but there is not a single book, which specifically addresses the needs of forensic anthropologists in relation to the research undertaken in the field and the interpretation of research outcomes and case findings within the setting of legal proceedings. The book includes the application of both frequentist and Bayesian statistics in relation to topics relevant for the research and the interpretation of findings in forensic anthropology, as well as general chapters on study design and statistical approaches addressing measurement errors and reliability. Scientific terminology understandable to students and advanced practitioners of forensic anthropology, pathology and related disciplines is used throughout. Additionally, Statistics and Probability in Forensic Anthropology facilitates sufficient understanding of the statistical procedures and data interpretation based on statistical outcomes and models, which helps the reader confidently present their work within the forensic context, either in the form of case reports for legal purposes or as research publications for the scientific community. - Contains the application of both frequentist and Bayesian statistics in relation to topics relevant for forensic anthropology research and the interpretation of findings - Provides examples of study designs and their statistical solutions, partly following the layout of scientific manuscripts on common topics in the field - Includes scientific terminology understandable to students and advanced practitioners of forensic anthropology, legal medicine and related disciplines

Statistics for Business

by Perumal Mariappan

Statistics for Business is meant as a textbook for students in business, computer science, bioengineering, environmental technology, and mathematics. In recent years, business statistics is used widely for decision making in business endeavours. It emphasizes statistical applications, statistical model building, and determining the manual solution methods. Special Features: This text is prepared based on "self-taught" method. For most of the methods, the required algorithm is clearly explained using flow-charting methodology. More than 200 solved problems provided. More than 175 end-of-chapter exercises with answers are provided. This allows teachers ample flexibility in adopting the textbook to their individual class plans. This textbook is meant to for beginners and advanced learners as a text in Statistics for Business or Applied Statistics for undergraduate and graduate students.

Statistics for Business

by Perumal Mariappan

Statistics for Business is meant as a textbook for students in business, computer science, bioengineering, environmental technology, and mathematics. In recent years, business statistics is used widely for decision making in business endeavours. It emphasizes statistical applications, statistical model building, and determining the manual solution methods. Special Features: This text is prepared based on "self-taught" method. For most of the methods, the required algorithm is clearly explained using flow-charting methodology. More than 200 solved problems provided. More than 175 end-of-chapter exercises with answers are provided. This allows teachers ample flexibility in adopting the textbook to their individual class plans. This textbook is meant to for beginners and advanced learners as a text in Statistics for Business or Applied Statistics for undergraduate and graduate students.

Statistics for Nursing Research - E-Book: Statistics for Nursing Research - E-Book

by Susan K. Grove Daisha J. Cipher

Get the review and practice you need to critically appraise the statistical methods used in published research! Statistics for Nursing Research, 4th Edition helps you understand and interpret statistical methods, sampling and measurement techniques, and statistical analysis techniques. This unique and practical workbook is divided into two parts to differentiate between basic and advanced statistical methods, with dozens of hands-on exercises that will help you practice working with the statistical methods needed for building an evidence-based practice. This workbook is an indispensable resource for any nursing student or practicing nurse wishing to gain competency in conducting statistical analyses. - Comprehensive coverage of basic statistical methods includes extensive practice with the most common techniques of sampling, measurement, and statistical analysis seen in nursing and health sciences literature. - Literature-based approach uses key excerpts from published studies to reinforce learning through practical application. - 38 sampling, measurement, and statistical analysis exercises provide a practical review of both basic and advanced statistical techniques. - Study Questions in each chapter help you examine a statistical technique and apply concepts to an actual literature appraisal. - Online submission of answers for Questions for Further Application allows you to complete exercises in a web-based format and then submit completed exercises to your instructor via email for grading. - Consistent format for all chapters enhances learning and enables quick review. - NEW! More than half of the research articles in Part 1 are new, ensuring that exercises are based on the most current, clinically applicable published studies. - NEW! Enhanced interactive online functionality of the Questions for Further Application for each chapter allows you to save your work and complete the exercises at a later time before submitting work to your instructor for grading. - NEW! Enhanced emphasis on diversity and inclusion features representation of diverse authors and research foci in selected published articles. - NEW! Two new exercises are added to this edition: a unique Handling Missing Data exercise and a Calculating the Mann-Whitney U Test exercise. - NEW! VST eBook version of this title is a fully interactive eBook for the first time. - NEW! Supplemental video tutorials by Dr. Cipher on the Evolve website provide valuable reinforcement that is especially helpful for visual and auditory learners.

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