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The International Standard Classification of Occupations 2008 (ISCO-08) is a four-level hierarchically structured classification that covers all jobs in the world. Developed with the benefit of accumulated national and international experience as well as the help of experts from many countries and agencies, ISCO-08 is fully supported by the international community as an accepted standard for international labour statistics. ISCO-08 classifies jobs into 436 unit groups. These unit groups are aggregated into 130 minor groups, 43 sub-major groups and 10 major groups, based on their similarity in terms of the skill level and skill specialisation required for the jobs. This allows the production of relatively detailed internationally comparable data as well as summary information for only 10 groups at the highest level of aggregation. Each group in the classification is designated by a title and code number and is associated with a definition that specifies the scope of the group. The classification is divided into two volumes: Volume I presents the structure and definitions of all groups in ISCO-08 and their correspondence with ISCO-88, which it supersedes, while Volume II provides an updated and expanded index of occupational titles and associated ISCO-08 and ISCO-88 codes.
The fun and easy way to get down to business with statistics Stymied by statistics? No fear? this friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations, with lots of examples that show you how these concepts apply to your everyday life. 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 Essentials For Dummies not only provides students enrolled in Statistics I with an excellent high-level overview of key concepts, but it also serves as a reference or refresher for students in upper-level statistics courses. Free of review and ramp-up material, Statistics Essentials For Dummies sticks to the point, with content focused on key course topics only. It provides discrete explanations of essential concepts taught in a typical first semester college-level statistics course, from odds and error margins to confidence intervals and conclusions. This guide is also a perfect reference for parents who need to review critical statistics concepts as they help high school students with homework assignments, as well as for adult learners headed back into 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 For Dummies. Now students who are prepping for exams, preparing to study new material, or who just need a refresher can have a concise, easy-to-understand review guide that covers an entire course by concentrating solely on the most important concepts. From algebra and chemistry to grammar and Spanish, our expert authors focus on the skills students most need to succeed in a subject.
Since the creation of the National Cooperative Educational Statistics System in 1988, states have joined with the National Center for Education Statistics to produce and maintain comparable and uniform education statistics. Through the National Forum on Education Statistics, states have met to develop and propose a set of basic data elements for voluntary use. Using these data elements will provide more comparable and reliable education information for any educational system adopting the common terminology. The basic data elements will not meet every education information purpose, but a set of basic data elements should help answer the most frequently asked questions about the administration, status, quality, operation, and performance of schools and school systems. This report presents a process for selecting and including new data elements in an information system and the student and staff elements that can be used to create information for conducting the day-to-day administration of schools and school districts; completing federal and state reports, and creating indicators that address questions about the success and functioning of education systems. The basic data elements selected for student information systems are grouped into categories of: (1) personal information; (2) enrollment; (3) school participation and activities; (4) assessment; (5) transportation; (6) health conditions, special program participation, and student support services; and (7) discipline. Similar elements defined for staff information systems include personal information, educational background, qualification information, current employment, assignments, and information on career development and separation from employment. An appendix contains discussions of policy questions, indicators, and basic data elements. (SLD)
Addison-Wesley is proud to celebrate the Tenth Edition of Elementary Statistics.& This text is highly regarded because of its engaging and understandable introduction to statistics. The&author's commitment to providing student-friendly guidance through the material and giving students opportunities to apply their newly learned skills in a real-world context has made Elementary Statistics the #1 best-seller in the market.
"This book is the result of a study in which the authors identified all of the American women who earned PhD's in mathematics before 1940, and collected extensive biographical and bibliographical information about each of them. By reconstructing as complete a picture as possible of this group of women, Green and LaDuke reveal insights into the larger scientific and cultural communities in which they lived and worked." "The book contains an extended introductory essay, as well as biographical entries for each of the 228 women in the study. The authors examine family backgrounds, education, careers, and other professional activities. They show that there were many more women earning PhD's in mathematics before 1940 than is commonly thought." "The material will be of interest to researchers, teachers, and students in mathematics, history of mathematics, history of science, women's studies, and sociology."--BOOK JACKET.
Inside Inequality in the Arab Republic of Egypt: Facts and Perceptions Across People, Time, and Space comprises four papers prepared in the framework of the Egypt inequality study financed by the World Bank. The first paper, by Sherine Al-Shawarby, reviews the studies on inequality in Egypt since the 1950s with the double objective of illustrating the importance attributed to inequality through time and of presenting and compare the main published statistics on inequality. The second paper, by Branko Milanovic, turns to the global and spatial dimensions of inequality. The Egyptian society remains deeply divided across space and in terms of welfare, and this study unveils some of the hidden features of this inequality. The third paper, by Paolo Verme, studies facts and perceptions of inequality during the 2000-2009 period, which preceded the Egyptian revolution. The fourth paper, by Sahar El Tawila, May Gadallah, and Enas Ali A.El-Majeed, assesses the state of poverty and inequality among the poorest villages of Egypt. The paper attempts to explain the level of inequality in an effort to disentangle those factors that derive from household abilities from those factors that derive from local opportunities. Inside Inequality in the Arab Republic of Egypt provides some initial elements that could explain the apparent mismatch between inequality measured with household surveys and inequality aversion measured by values surveys. This is a particularly important and timely topic to address in light of the unfolding developments in the Arab region. The book should be of interest to any observer of the political and economic evolution of the Arab region in the past few years and to poverty and inequality specialists interested in a deeper understanding of the distribution of incomes in Egypt and other countries in the Middle East and North Africa region. World Bank Studies are available individually or on standing order. The World Bank Studies series is also available online through the Open Knowledge Repository (https://openknowledge.worldbank.org/) and the World Bank e-Library (www.worldbank.org/elibrary). Book jacket.
This book explains and explores the principal techniques of Data Mining, the automatic extraction of implicit and potentially useful information from data, which is increasingly used in commercial, scientific and other application areas. It focuses on classification, association rule mining and clustering. Each topic is clearly explained, with a focus on algorithms not mathematical formalism, and is illustrated by detailed worked examples. The book is written for readers without a strong background in mathematics or statistics and any formulae used are explained in detail. It can be used as a textbook to support courses at undergraduate or postgraduate levels in a wide range of subjects including Computer Science, Business Studies, Marketing, Artificial Intelligence, Bioinformatics and Forensic Science. As an aid to self study, this book aims to help general readers develop the necessary understanding of what is inside the 'black box' so they can use commercial data mining packages discriminatingly, as well as enabling advanced readers or academic researchers to understand or contribute to future technical advances in the field. Each chapter has practical exercises to enable readers to check their progress. A full glossary of technical terms used is included. This expanded third edition includes detailed descriptions of algorithms for classifying streaming data, both stationary data, where the underlying model is fixed, and data that is time-dependent, where the underlying model changes from time to time - a phenomenon known as concept drift.
Packed with practical tips and techniques for solving probability problems Increase your chances of acing that probability exam -- or winning at the casino! Whether you're hitting the books for a probability or statistics course or hitting the tables at a casino, working out probabilities can be problematic. This book helps you even the odds. Using easy-to-understand explanations and examples, it demystifies probability -- and even offers savvy tips to boost your chances of gambling success! Discover how to * Conquer combinations and permutations * Understand probability models from binomial to exponential * Make good decisions using probability * Play the odds in poker, roulette, and other games