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This remarkable book – by turns moving, funny, and revelatory – records the relationship that developed between the women over the next twenty years. An empathic listener and participant in DeVries’ life, and a scholar of the feminist and disability rights movements, Frank argues that Diane DeVries is a perfect example of an American woman coming of age in the second half of the twentieth century.
by Organisation for Economic Co-operation and Development , Language: English
Every person aspires to a good life. But what does “a good or a better life” mean? The third edition of How’s Life? provides an update on the most important aspects that shape people’s lives and well-being: income, jobs, housing, health, work-life balance, education, social connections, civic engagement and governance, environment, personal security, and subjective well-being. It paints a comprehensive picture of well-being in OECD countries and other major economies by looking at people’s material living conditions and quality of life across the population.
Statistik von Null auf Hundert nähert sich der Statistik über Kochrezepte und einfache Beispiele. Der Leser erhält schnell die erforderliche Kompetenzen, um selber Statistiken anfertigen, auch große Zahlenmengen anschaulich zu visualisieren und wesentliche statistische Kennwerte ermitteln zu können. Das schließt die „Statistiklesefähigkeit“ mit ein: Statistische Angaben in Zeitschriften und Büchern werden transparent, auch Manipulationen mit Statistik werden erkannt. Berechnungen und Lösungen von Kombinatorikfragestellungen werden einfach erklärt.
How to make simple sense of complex statistics–from the author of Numbers Rule Your World
We live in a world of Big Data–and it’s getting biggerevery day. Virtually every choice we make hinges on how someone generates data . . . and how someone else interprets it–whether we realize it or not.
Where do you send your child for the best education?Big Data. Which airline should you choose to ensure a timely arrival? Big Data. Who will you vote for in the next election? Big Data.
The problem is, the more data we have, the more difficult it is to interpret it.
Authors: Madsen, Birger StjernholmAimed at practitionersThe presentation is as non-mathematical as possibleIncludes many examples of the use of statistical functions in spreadsheetsEmploys a realistic sample survey as an exemplar throughout the bookFills a gap in the existing literature on statisticsAbout this TextbookThis book was written for those who need to know how to collect, analyze and present data. It is meant to be a first course for practitioners, a book for private study or brush-up on statistics, and supplementary reading for general statistics classes.
STATISTICS FOR BUSINESS AND ECONOMICS brings together more than twenty-five years of author experience, sound statistical methodology, a proven problem-scenario approach, and meaningful applications to demonstrate how statistical information. Discover how the most trusted approach to statistics today is Simply Powerful with the latest market-leading text from respected authors Anderson/Sweeney/Williams. STATISTICS FOR BUSINESS AND ECONOMICS, 11e introduces sound statistical methodology within a strong applications setting.
Apart from a thorough exploration of all the important concepts, this volume includes over 75 algorithms, ready for putting into practice. The book also contains numerous hands-on implementations of selected algorithms to demonstrate applications in realistic settings. Readers are assumed to have a sound understanding of calculus, introductory matrix analysis, and intermediate statistics, but otherwise the book is self-contained. Suitable for graduates and undergraduates in mathematics and engineering, in particular operations research, statistics, and computer science.
Introduction to Statistics and SPSS in Psychology guides the reader carefully and concisely up the statistics staircase to success. Each step is supported by helpful visuals as well as advice on how to overcome problems. Interactive, lively, but never patronising, this is the complete guide to statistics that will take readers through their degree course from beginning to end.Take a step in the right direction and tackle statistics head on with this visual introduction.
This volume contains the full text of two reports: one is an interim review of major census operations, which also assesses the U.S. Census bureau’s recommendation in March 2001 regarding statistical adjustment of census data for redistricting. It does not address the decision on adjustment for non-redistricting purposes.
Score higher in your business statistics course? Easy.Business statistics is a common course for business majors and MBA candidates. It examines common data sets and the proper way to use such information when conducting research and producing informational reports such as profit and loss statements, customer satisfaction surveys, and peer comparisons."Business Statistics For Dummies" tracks to a typical business statistics course offered at the undergraduate and graduate levels and provides clear, practical explanations of business statistical ideas, techniques, formulas, and calculations, with lots of examples that shows you how these concepts apply to the world of global business and economics.
This highly successful introductory text has been updated in the light of recent legislative changes in education – such as the introduction of teacher appraisal and the move towards school-based training and research.
Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this handbook presents a carefully curated collection of techniques from both industry and academia. Thus, the text instills a working understanding of key statistical and computing ideas that can be readily applied in research and practice.Offering balanced coverage of methodology, theory, and applications, this handbook:Describes modern, scalable approaches for analyzing increasingly large datasetsDefines the underlying concepts of the available analytical tools and techniquesDetails intercommunity advances in computational statistics and machine learningHandbook of Big Data also identifies areas in need of further development, encouraging greater communication and collaboration between researchers in big data sub-specialties such as genomics, computational biology, and finance.
An accessible introduction to indirect estimation methods, both traditional and model–based. Readers will also find the latest methods for measuring the variability of the estimates as well as the techniques for model validation.
This comprehensive, flexible text is used in both one- and two-semester courses to review introductory through intermediate statistics. Instructors select the topics that are most appropriate for their course. Its conceptual approach helps students more easily understand the concepts and interpret SPSS and research results. Key concepts are simply stated and occasionally reintroduced and related to one another for reinforcement. Numerous examples demonstrate their relevance. This edition features more explanation to increase understanding of the concepts.
‘SALT’ provides a step-by-step approach to the most useful statistical analyses for language test developers and researchers based on the programs IBM SPSS, Winsteps and Facets. Each chapter focuses on one particular type of analysis, for example, analysing how items in a test are performing or investigating the relationship between two variables. Each chapter begins with an introduction as to why this particular analysis is important for the language tester and then provides explanations about the terms and concepts which the reader will meet in the chapter.
The method for carrying out each analysis is then described in a systematic manner guiding the reader through the procedure for that particular analysis. The main aspects of the output files are then investigated and the results explained. Eleven of the book’s appendices provide further opportunities for the reader to repeat many of the statistical procedures on different data sets. Questions guide the reader in checking their understanding of the statistical procedures and output tables.
Many fundamentally important decisions about our social life are a function of how well we understand and analyze DATA. This sounds so obvious but it is so misunderstood. Social statisticians struggle with this problem in their teaching constantly. This book and its approach is the ally and support of all instructors who want to accomplish this hugely important teaching goal.This innovative text for undergraduate social statistics courses is, (as one satisfied instructor put it), a "breath of fresh air.&
Among the symmetrical distributions with an infinite domain, the most popular alternative to the normal variant is the logistic distribution as well as the Laplace or the double exponential distribution, which was first introduced in 1774. Occasionally, the Cauchy distribution is also used. Surprisingly, the hyperbolic secant distribution has led a charmed life, although Manoukian and Nadeau had already stated in 1988 that “… the hyperbolic-secant distribution … has not received sufficient attention in the published literature and may be useful for students and practitioners.”
This book is intended for use in a rigorous introductory PhD level course in econometrics, or in a field course in econometric theory. It covers the measure-theoretical foundation of probability theory, the multivariate normal distribution with its application to classical linear regression analysis, various laws of large numbers, central limit theorems and related results for independent random variables as well as for stationary time series, with applications to asymptotic inference of M-estimators, and maximum likelihood theory
This inexpensive paperback provides a brief, simple overview of statistics to help readers gain a better understanding of how statistics work and how to interpret them correctly. Each chapter describes a different statistical technique, ranging from basic concepts like central tendency and describing distributions to more advanced concepts such as t tests, regression, repeated measures ANOVA, and factor analysis. Each chapter begins with a short description of the statistic and when it should be used.
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