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Author: Stephen McKenzie Publisher: Elsevier Health Sciences ISBN: 0729581497 Category : Medical Languages : en Pages : 249
Book Description
Vital Statistics: an introduction to health science statistics e-book is a new Australian publication. This textbook draws on real world, health-related and local examples, with a broad appeal to the Health Sciences student. It demonstrates how an understanding of statistics is useful in the real world, as well as in statistics exams. Vital Statistics: an introduction to health science statistics e-book is a relatively easy-to-read book that will painlessly introduce or re-introduce you to the statistical basics before guiding you through more demanding statistical challenges. Written in recognition of Health Sciences courses which require knowledge of statistical literacy, this book guides the reader to an understanding of why, as well as how and when to use statistics. It explores: - How data relates to information, and how information relates to knowledge - How to use statistics to distinguish information from disinformation - The importance of probability, in statistics and in life - That inferential statistics allow us to infer from samples to populations, and how useful such inferences can be - How to appropriately apply and interpret statistical measures of difference and association - How qualitative and quantitative methods differ, and when it's appropriate to use each - The special statistical needs of the health sciences, and some especially health science relevant statistics - The vital importance of computers in the statistical analysis of data, and gives an overview of the most commonly used analyses - Real-life local examples of health statistics are presented, e.g. A study conducted at the Department of Obstetrics and Gynecology, University of Utah School of Medicine, explored whether there might be a systematic bias affecting the results of genetic specimen tests, which could affect their generalizability. - Reader-friendly writing style - t-tests/ ANOVA family of inferential statistics all use variants of the same basic formula - Learning Objectives at the start of each chapter and Quick Reference Summaries at the end of each chapter provide the reader with a scope of the content within each chapter.
Author: Stephen McKenzie Publisher: Elsevier Health Sciences ISBN: 0729581497 Category : Medical Languages : en Pages : 249
Book Description
Vital Statistics: an introduction to health science statistics e-book is a new Australian publication. This textbook draws on real world, health-related and local examples, with a broad appeal to the Health Sciences student. It demonstrates how an understanding of statistics is useful in the real world, as well as in statistics exams. Vital Statistics: an introduction to health science statistics e-book is a relatively easy-to-read book that will painlessly introduce or re-introduce you to the statistical basics before guiding you through more demanding statistical challenges. Written in recognition of Health Sciences courses which require knowledge of statistical literacy, this book guides the reader to an understanding of why, as well as how and when to use statistics. It explores: - How data relates to information, and how information relates to knowledge - How to use statistics to distinguish information from disinformation - The importance of probability, in statistics and in life - That inferential statistics allow us to infer from samples to populations, and how useful such inferences can be - How to appropriately apply and interpret statistical measures of difference and association - How qualitative and quantitative methods differ, and when it's appropriate to use each - The special statistical needs of the health sciences, and some especially health science relevant statistics - The vital importance of computers in the statistical analysis of data, and gives an overview of the most commonly used analyses - Real-life local examples of health statistics are presented, e.g. A study conducted at the Department of Obstetrics and Gynecology, University of Utah School of Medicine, explored whether there might be a systematic bias affecting the results of genetic specimen tests, which could affect their generalizability. - Reader-friendly writing style - t-tests/ ANOVA family of inferential statistics all use variants of the same basic formula - Learning Objectives at the start of each chapter and Quick Reference Summaries at the end of each chapter provide the reader with a scope of the content within each chapter.
Author: United Nations. Statistical Office Publisher: ISBN: Category : Mathematics Languages : en Pages : 242
Book Description
The publication is an international standard on the design and operation of an efficient and accurate vital statistics system at national level. It provides guidelines on collection, compiling and disseminating vital statistics. More specifically it contains (a) basic principles for a vital statistics system; (b) uses of vital statistics and civil registration records; (c) topics to be covered in a vital statistics system; (d) sources of vital statistics and how they function; (e) quality assurance in the vital statistics system and (f) strategies in improving civil registration and vital statistics systems in countries. It also informs policy makers and the general public on the importance of vital statistics and hence further improving the vital statistics system.
Author: Holly Brasher Publisher: SAGE ISBN: 1452219974 Category : Law Languages : en Pages : 473
Book Description
This latest volume in the CQ Press series on vital statistics in American politics tackles interest groups and lobbying. This book builds from data that has been collected and organized from disclosure forms now required to be filed by registered lobbyists. After providing background about the Lobbying Disclosure Act, the book explores such questions as: When do organizations register to lobby? What are the characteristics of lobbying organizations (varying from professional and trade associations to businesses, coalitions, public interest groups, and intergovernmental groups)? How extensively do organizations lobby on issues? What sorts of efforts do they exert across Congress, the White House, and the various federal agencies? What is involved in terminations of lobbying firms and organizations? What sorts of issues and organizations are most often targeted? And what sorts of moneys are spent and how? Via narrative supported by extensive tables and charts, Vital Statistics on Interest Groups provides a broad, comprehensive, and informative view of lobbying, interest groups, and campaign contributions and their impact on American national politics.
Author: Lyn Ragsdale Publisher: CQ Press ISBN: 1483386309 Category : Political Science Languages : en Pages : 517
Book Description
Looking beyond the individual office holders to the office itself, this Fourth Edition of Vital Statistics on the Presidency covers George Washington’s tenure through the 2012 election. The book’s expansive view of the presidency allows readers to recognize major themes across administrations and to reach overall conclusions about the nature of the institution and its future. The illuminating data is put into context by thoughtful essays explaining key statistical patterns, making this edition an intriguing and comprehensive reference to important patterns throughout the history of the presidency.
Author: Peter Turchin Publisher: The Economist ISBN: 1541736761 Category : Reference Languages : en Pages : 256
Book Description
Discover the world records that define our history and jump headfirst into the past using scientific data that reveals accurate and insightful answers to life’s biggest questions. What was history's biggest empire? Or the tallest building of the ancient world? What was the plumbing like in medieval Byzantium? The average wage in the Mughal Empire? Where did scientific writing first emerge? What was the bloodiest ever ritual human sacrifice? We are used to thinking about history in terms of stories. Yet we understand our own world through data: cast arrays of statistics that reveal the workings of our societies. In Figuring Out the Past, radical historians Peter Turchin and Dan Hoyer dive into the numbers that reveal the true shape of the past, drawing on their own Seshat project, a staggeringly ambitious attempt to log every data point that can be gathered for every society that has ever existed. This book does more than tell the story of humanity: it shows you the big picture, by the numbers.
Author: Henry S. Shryock Publisher: Academic Press ISBN: 1483289109 Category : Mathematics Languages : en Pages : 588
Book Description
Like the original two-volume work, this work attempts to present a systematic and comprehensive exposition, with illustrations, of the methods used by technicians and research workers in dealing with demographic data. The book is concerned with how data on population are gathered, classified, and treated to produce tabulations and various summarizing measures that reveal the significant aspects of the composition and dynamics of populations. It sets forth the sources, limitations, underlying definitions, and bases of classification, as well as the techniques and methods that have been developed for summarizing and analyzing the data.
Author: Nancy E. Whittier Publisher: Rowman & Littlefield ISBN: 1538175940 Category : Social Science Languages : en Pages : 713
Book Description
Statistics for Social Understanding introduces statistics as it’s used in the social sciences—as a tool for advancing understanding of the social world. The authors provide thorough coverage of social science statistical topics, a balanced approach to calculation, and step-by-step directions on how to use both SPSS and Stata software, giving students the ability to analyze data and explore exciting questions. “In Depth” boxes encourage critical thinking by tackling tricky statistical queries, and each chapter concludes with a chapter summary, a section on using Stata, a section on using SPSS, and practice problems. All problems have been accuracy-checked by an outside panel of reviewers. Readily available datasets for classroom use include material from institutions such as the American National Election Study, General Social Survey, World Values Survey, and the School Survey on Crime and Safety. Statistics for Social Understanding is accompanied by a learning package, written entirely by author Tina Wildhagen, that is designed to enhance the experience of both instructors and students.
Author: David M Lane Publisher: ISBN: 9781687894250 Category : Languages : en Pages : 406
Book Description
Online Statistics: An Interactive Multimedia Course of Study is a resource for learning and teaching introductory statistics. It contains material presented in textbook format and as video presentations. This resource features interactive demonstrations and simulations, case studies, and an analysis lab.This print edition of the public domain textbook gives the student an opportunity to own a physical copy to help enhance their educational experience. This part I features the book Front Matter, Chapters 1-10, and the full Glossary. Chapters Include:: I. Introduction, II. Graphing Distributions, III. Summarizing Distributions, IV. Describing Bivariate Data, V. Probability, VI. Research Design, VII. Normal Distributions, VIII. Advanced Graphs, IX. Sampling Distributions, and X. Estimation. Online Statistics Education: A Multimedia Course of Study (http: //onlinestatbook.com/). Project Leader: David M. Lane, Rice University.
Author: David Diez Publisher: ISBN: 9781943450046 Category : Languages : en Pages :
Book Description
The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources.
Author: Julien Y Dutheil Publisher: ISBN: 9781013271403 Category : Science Languages : en Pages : 464
Book Description
This open access volume presents state-of-the-art inference methods in population genomics, focusing on data analysis based on rigorous statistical techniques. After introducing general concepts related to the biology of genomes and their evolution, the book covers state-of-the-art methods for the analysis of genomes in populations, including demography inference, population structure analysis and detection of selection, using both model-based inference and simulation procedures. Last but not least, it offers an overview of the current knowledge acquired by applying such methods to a large variety of eukaryotic organisms. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, pointers to the relevant literature, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Statistical Population Genomics aims to promote and ensure successful applications of population genomic methods to an increasing number of model systems and biological questions. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
Author: Stephen McKenzie
Author: Stephen McKenzie
Author: United Nations. Statistical Office
Author: Holly Brasher
Author: Lyn Ragsdale
Author: Peter Turchin
Author: Henry S. Shryock
Author: Nancy E. Whittier
Author: David M Lane
Author: David Diez
Author: Julien Y Dutheil