United Nations Fundamental Principles of Official Statistics
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Generic Law on Official Statistics for Latin America
Generic Law on Official Statistics for Latin America Statistical Conference of the Americas of ECLAC Thank you for your interest in this ECLAC publication ECLAC Publications Please register if you would like to receive information on our editorial products and activities. When you register, you may specify your particular areas of interest and you will gain access to our products in other formats. www.cepal.org/en/publications ublicaciones www.cepal.org/apps Generic Law on Official Statistics for Latin America Statistical Conference of the Americas of ECLAC The Generic Law on Official Statistics for Latin America was adopted by the Statistical Conference of the Americas of the Economic Commission for Latin America and the Caribbean at its tenth meeting, held in Santiago from 19 to 21 November 2019. Thanks are conveyed to the Inter-American Development Bank (IDB) for its support in the preparation of this document. IDB provided consultants who were involved throughout the process and financial support for the organization of the Regional workshop on legal frameworks for the production of official statistics, held in Bogotá, from 3 to 5 July 2018, and for the meeting at which the final text was discussed, in San Salvador, on 29 and 30 August 2019. United Nations publication LC/CEA.10/8 Distribution: L Copyright © United Nations, 2020 All rights reserved Printed at United Nations, Santiago S.20-00045 This publication should be cited as: Economic Commission for Latin America and the Caribbean (ECLAC), Generic Law on Official Statistics for Latin America (LC/CEA.10/8), Santiago, 2020. Applications for authorization to reproduce this work in whole or in part should be sent to the Economic Commission for Latin America and the Caribbean (ECLAC), Publications and Web Services Division, publicaciones. -
Canada's Population Estimates: Subprovincial Areas, July 1, 2018 Released at 8:30 A.M
Canada's population estimates: Subprovincial areas, July 1, 2018 Released at 8:30 a.m. Eastern time in The Daily, Thursday, March 28, 2019 Population growth in Canada's urban areas fuelled by permanent and temporary immigration Canada continues to become more urbanized with 26.5 million people living in a census metropolitan area (CMA) on July 1, 2018. Growth in large urban areas (+1.8%) outpaced the rest of the country (+0.6%). Canada's three largest CMAs—Toronto, Montréal and Vancouver—are now home to over one-third of Canadians (35.7%). Today, Statistics Canada is releasing subprovincial population estimates as of July 1, 2018, including census metropolitan areas, census agglomerations, census divisions and economic regions. Permanent and temporary immigration is the key driver of population growth in urban Canada. This trend is linked to higher targets for permanent immigration, as defined by Immigration, Refugees and Citizenship Canada. Moreover, various programs stimulate the admission of many temporary workers and foreign students. Growth in some census metropolitan areas in Ontario outpace growth in the West Ontario was home to the fastest growing CMAs from July 1, 2017, to July 1, 2018, with Peterborough (+3.1%), Kitchener–Cambridge–Waterloo (+2.6%), Ottawa–Gatineau (Ontario part) and Windsor (+2.5% each), as well as London (+2.4%) leading the way. Population growth in Alberta's CMAs continues to be affected by the downturn in commodity production that began in 2014 and the resulting rise in unemployment rates. For the third consecutive year, the CMA of Calgary was not among the top 10 for population growth in Canada. -
List of Participants
List of participants Conference of European Statisticians 69th Plenary Session, hybrid Wednesday, June 23 – Friday 25 June 2021 Registered participants Governments Albania Ms. Elsa DHULI Director General Institute of Statistics Ms. Vjollca SIMONI Head of International Cooperation and European Integration Sector Institute of Statistics Albania Argentina Sr. Joaquin MARCONI Advisor in International Relations, INDEC Mr. Nicolás PETRESKY International Relations Coordinator National Institute of Statistics and Censuses (INDEC) Elena HASAPOV ARAGONÉS National Institute of Statistics and Censuses (INDEC) Armenia Mr. Stepan MNATSAKANYAN President Statistical Committee of the Republic of Armenia Ms. Anahit SAFYAN Member of the State Council on Statistics Statistical Committee of RA Australia Mr. David GRUEN Australian Statistician Australian Bureau of Statistics 1 Ms. Teresa DICKINSON Deputy Australian Statistician Australian Bureau of Statistics Ms. Helen WILSON Deputy Australian Statistician Australian Bureau of Statistics Austria Mr. Tobias THOMAS Director General Statistics Austria Ms. Brigitte GRANDITS Head International Relation Statistics Austria Azerbaijan Mr. Farhad ALIYEV Deputy Head of Department State Statistical Committee Mr. Yusif YUSIFOV Deputy Chairman The State Statistical Committee Belarus Ms. Inna MEDVEDEVA Chairperson National Statistical Committee of the Republic of Belarus Ms. Irina MAZAISKAYA Head of International Cooperation and Statistical Information Dissemination Department National Statistical Committee of the Republic of Belarus Ms. Elena KUKHAREVICH First Deputy Chairperson National Statistical Committee of the Republic of Belarus Belgium Mr. Roeland BEERTEN Flanders Statistics Authority Mr. Olivier GODDEERIS Head of international Strategy and coordination Statistics Belgium 2 Bosnia and Herzegovina Ms. Vesna ĆUŽIĆ Director Agency for Statistics Brazil Mr. Eduardo RIOS NETO President Instituto Brasileiro de Geografia e Estatística - IBGE Sra. -
Statistical Fallacy: a Menace to the Field of Science
International Journal of Scientific and Research Publications, Volume 9, Issue 6, June 2019 297 ISSN 2250-3153 Statistical Fallacy: A Menace to the Field of Science Kalu Emmanuel Ogbonnaya*, Benard Chibuike Okechi**, Benedict Chimezie Nwankwo*** * Department of Ind. Maths and Applied Statistics, Ebonyi State University, Abakaliki ** Department of Psychology, University of Nigeria, Nsukka. *** Department of Psychology and Sociological Studies, Ebonyi State University, Abakaliki DOI: 10.29322/IJSRP.9.06.2019.p9048 http://dx.doi.org/10.29322/IJSRP.9.06.2019.p9048 Abstract- Statistical fallacy has been a menace in the field of easier to understand but when used in a fallacious approach can sciences. This is mostly contributed by the misconception of trick the casual observer into believing something other than analysts and thereby led to the distrust in statistics. This research what the data shows. In some cases, statistical fallacy may be investigated the conception of students from selected accidental or unintentional. In others, it is purposeful and for the departments on statistical concepts as it relates statistical fallacy. benefits of the analyst. Students in Statistics, Economics, Psychology, and The fallacies committed intentionally refer to abuse of Banking/Finance department were randomly sampled with a statistics and the fallacy committed unintentionally refers to sample size of 36, 43, 41 and 38 respectively. A Statistical test misuse of statistics. A misuse occurs when the data or the results was conducted to obtain their conception score about statistical of analysis are unintentionally misinterpreted due to lack of concepts. A null hypothesis which states that there will be no comprehension. The fault cannot be ascribed to statistics; it lies significant difference between the students’ conception of with the user (Indrayan, 2007). -
Misuse of Statistics in Surgical Literature
Statistics Corner Misuse of statistics in surgical literature Matthew S. Thiese1, Brenden Ronna1, Riann B. Robbins2 1Rocky Mountain Center for Occupational & Environment Health, Department of Family and Preventive Medicine, 2Department of Surgery, School of Medicine, University of Utah, Salt Lake City, Utah, USA Correspondence to: Matthew S. Thiese, PhD, MSPH. Rocky Mountain Center for Occupational & Environment Health, Department of Family and Preventive Medicine, School of Medicine, University of Utah, 391 Chipeta Way, Suite C, Salt Lake City, UT 84108, USA. Email: [email protected]. Abstract: Statistical analyses are a key part of biomedical research. Traditionally surgical research has relied upon a few statistical methods for evaluation and interpretation of data to improve clinical practice. As research methods have increased in both rigor and complexity, statistical analyses and interpretation have fallen behind. Some evidence suggests that surgical research studies are being designed and analyzed improperly given the specific study question. The goal of this article is to discuss the complexities of surgical research analyses and interpretation, and provide some resources to aid in these processes. Keywords: Statistical analysis; bias; error; study design Submitted May 03, 2016. Accepted for publication May 19, 2016. doi: 10.21037/jtd.2016.06.46 View this article at: http://dx.doi.org/10.21037/jtd.2016.06.46 Introduction the most commonly used statistical tests of the time (6,7). Statistical methods have since become more complex Research in surgical literature is essential for furthering with a variety of tests and sub-analyses that can be used to knowledge, understanding new clinical questions, as well as interpret, understand and analyze data. -
Annual Demographic Estimates: Canada, Provinces and Territories (Total Population Only) 2018
Catalogue no. 91-215-X ISSN 1911-2408 Annual Demographic Estimates: Canada, Provinces and Territories (Total Population only) 2018 Release date: September 27, 2018 How to obtain more information For information about this product or the wide range of services and data available from Statistics Canada, visit our website, www.statcan.gc.ca. You can also contact us by email at [email protected] telephone, from Monday to Friday, 8:30 a.m. to 4:30 p.m., at the following numbers: • Statistical Information Service 1-800-263-1136 • National telecommunications device for the hearing impaired 1-800-363-7629 • Fax line 1-514-283-9350 Depository Services Program • Inquiries line 1-800-635-7943 • Fax line 1-800-565-7757 Standards of service to the public Note of appreciation Statistics Canada is committed to serving its clients in a prompt, Canada owes the success of its statistical system to a reliable and courteous manner. To this end, Statistics Canada has long-standing partnership between Statistics Canada, the developed standards of service that its employees observe. To citizens of Canada, its businesses, governments and other obtain a copy of these service standards, please contact Statistics institutions. Accurate and timely statistical information could not Canada toll-free at 1-800-263-1136. The service standards are be produced without their continued co-operation and goodwill. also published on www.statcan.gc.ca under “Contact us” > “Standards of service to the public.” Published by authority of the Minister responsible for Statistics Canada © Her Majesty the Queen in Right of Canada as represented by the Minister of Industry, 2018 All rights reserved. -
The Numbers Game - the Use and Misuse of Statistics in Civil Rights Litigation
Volume 23 Issue 1 Article 2 1977 The Numbers Game - The Use and Misuse of Statistics in Civil Rights Litigation Marcy M. Hallock Follow this and additional works at: https://digitalcommons.law.villanova.edu/vlr Part of the Civil Procedure Commons, Civil Rights and Discrimination Commons, Evidence Commons, and the Labor and Employment Law Commons Recommended Citation Marcy M. Hallock, The Numbers Game - The Use and Misuse of Statistics in Civil Rights Litigation, 23 Vill. L. Rev. 5 (1977). Available at: https://digitalcommons.law.villanova.edu/vlr/vol23/iss1/2 This Article is brought to you for free and open access by Villanova University Charles Widger School of Law Digital Repository. It has been accepted for inclusion in Villanova Law Review by an authorized editor of Villanova University Charles Widger School of Law Digital Repository. Hallock: The Numbers Game - The Use and Misuse of Statistics in Civil Righ 1977-19781 THE NUMBERS GAME - THE USE AND MISUSE OF STATISTICS IN CIVIL RIGHTS LITIGATION MARCY M. HALLOCKt I. INTRODUCTION "In the problem of racial discrimination, statistics often tell much, and Courts listen."' "We believe it evident that if the statistics in the instant matter represent less than a shout, they certainly constitute '2 far more than a mere whisper." T HE PARTIES TO ACTIONS BROUGHT UNDER THE CIVIL RIGHTS LAWS3 have relied increasingly upon statistical 4 analyses to establish or rebut cases of unlawful discrimination. Although statistical evidence has been considered significant in actions brought to redress racial discrimination in jury selection,5 it has been used most frequently in cases of allegedly discriminatory t B.A., University of Pennsylvania, 1972; J.D., Georgetown University Law Center, 1975. -
World Health Statistics 2007
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Jacob Oleson
JACOB J. OLESON The University of Iowa College of Public Health Department of Biostatistics Iowa City, IA 52242 [email protected] Citizenship: USA EDUCATION: Ph.D. Statistics University of Missouri – Columbia 2002 M.A. Statistics University of Missouri – Columbia 1999 B.A. Mathematics Central College (Pella, Iowa) 1997 EMPLOYMENT: 2015 – present Director of Graduate Studies, Department of Biostatistics, The University of Iowa 2014 – present Director – Center for Public Health Statistics – College of Public Health – The University of Iowa 2012 – present Associate Professor – Department of Biostatistics – College of Public Health – The University of Iowa 2004 – 2012 Assistant Professor – Department of Biostatistics – College of Public Health – The University of Iowa 2002 – 2004 Assistant Professor – Department of Mathematics & Statistics – Arizona State University 2000 – 2002 Research Assistant – University of Missouri - Columbia; Missouri Department of Conservation 1999 – 2002 Research Assistant – University of Missouri - Columbia; Biostatistics. 1997 – 2000 Graduate Instructor – University of Missouri - Columbia COURSES TAUGHT: The University of Iowa • 171:161 – Introduction to Biostatistics (3 terms) • 171:162 – Introduction to Biostatistics WWW (online) (4 terms; supervisor 10 terms) • 171:162 – Design and Analysis of Biomedical Studies (6 terms; supervisor 6 terms) • 171:241 – Applied Categorical Data Analysis (2 terms) • 171:202 – Biostatistical Methods II (3 terms) • 171:281 – Independent Study (Spatial Statistics, Survey Statistics, -
Low Fertility in Austria and the Czech Republic: Gradual Policy Adjustments
A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Sobotka, Tomáš Working Paper Low fertility in Austria and the Czech Republic: Gradual policy adjustments Vienna Institute of Demography Working Papers, No. 2/2015 Provided in Cooperation with: Vienna Institute of Demography (VID), Austrian Academy of Sciences Suggested Citation: Sobotka, Tomáš (2015) : Low fertility in Austria and the Czech Republic: Gradual policy adjustments, Vienna Institute of Demography Working Papers, No. 2/2015, Austrian Academy of Sciences (ÖAW), Vienna Institute of Demography (VID), Vienna This Version is available at: http://hdl.handle.net/10419/110987 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle You are not to copy documents for public or commercial Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich purposes, to exhibit the documents publicly, to make them machen, vertreiben oder anderweitig nutzen. publicly available on the internet, or to distribute or otherwise use the documents in public. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, If the documents have been made available under an Open gelten -
Demographics
demographics 82 Key Stats 76.4 per cent of Calgarians 29.4 per cent of Calgary’s are aged 20 and older; 45.5 population are immigrants and per cent are within the core 33.7 per cent are visible working age group of minority. - Calgary CMA, Census 2016, Statistics Canada 25 to 54. - Calgary CMA, Statistics Canada, July 1, 2020 Calgary has the highest Most frequently reported ethnic proportion of population 15 origins for Calgary are English to 64 years of Canadian (21.7 per cent), Canadian (20.1 cities. per cent) and Scottish (17.5 per - CMAs, Census 2016, Statistics Canada cent). - Calgary CMA, Census 2016, Statistics Canada 83 Who are Calgarians? Calgarians are young. $99,583 median 2015 The median age is 37.6 37.6 $ total household income. years old. - Calgary CMA, Census 2016, Statistics Canada - Calgary CMA, Statistics Canada, July 1, 2020 rd More than 120 Calgary has the 3 highest languages spoken in 120 education level attained Calgary. of major cities in Canada. - Calgary CMA, Census 2016, Statistics Canada - Calgary CMA, Census 2016, Statistics Canada 33.7% of Calgary’s Average household is population is visible 34% comprised of 2.6 people. minority. - Calgary CMA, Census 2016, Statistics Canada - Calgary CMA, Census 2016, Statistics Canada POPULATION: 1.54 MILLION - Calgary CMA, Statistics Canada, July 1, 2020 84 Calgary and Region Population 1,800,000 1.85% 1,700,000 1,654,503 1,624,524 1,593,174 1,600,000 1,567,822 1,547,138 1,543,283 1,521,073 1,514,029 1,492,107 1,483,528 1,500,000 1,448,407 1,458,336 1,438,160 1.93% 1,401,759 -
Poland in the European Union. a Statistical Portrait”
POLSKA W UNII EUROPEJSKIEJ Poland in the European Union PORTRET STATYSTYCZNY A statistical portrait 2019 Warsaw Warszawa Warszawa POLSKA W UNII EUROPEJSKIEJ Poland in the European Union PORTRET STATYSTYCZNY A statistical portrait Warszawa Warsaw 2019 Opracowanie publikacji Content-related works Główny Urząd Statystyczny, Departament Opracowań Statystycznych Statistics Poland, Statistical Products Department Zespół autorski Editorial team Dominika Borek, Ewa Morytz-Balska, Justyna Gustyn, Anna Kozera, Joanna Kozłowska, Marcin Marikin, Marcin Safader, Anna Zielkowska, Maciej Żelechowski Kierujący Supervisor Magdalena Ambroch, Renata Bielak Skład i opracowanie graficzne Typesetting and graphics Marek Wilczyński Opracowanie map Map preparation Katarzyna Medolińska, Maciej Zych ISBN 978-83-7027-716-1 Publikacja dostępna na stronie Publication available on website http:/stat.gov.pl 00-925 WARSZAWA, AL. NIEPODLEGŁOŚCI 208. Informacje w sprawach sprzedaży publikacji — tel. (22) 608 32 10, 608 38 10 Zam. 10/2019/ nakł. Szanowni Państwo, W dniu 1 maja 2019 r. minęło 15 lat od przystąpienia Polski do Unii Europejskiej. Z tej okazji mam przyjemność przekazać Państwu publikację pt. „Polska w Unii Europejskiej. Portret statystyczny”. Lata obecności Polski w Unii Europejskiej to czas wielu przemian gospodarczych i społecznych, do których przyczyniło się otwarcie granic, uczestnictwo w jednolitym rynku europejskim oraz możliwość wykorzystania funduszy unijnych. To również okres rozwoju polskiej statystyki publicznej jako członka Europejskiego Systemu Statystycznego – czas doskonalenia metodologii i technik badawczych, podejmowania nowych tematów i eksploracji innowacyjnych źródeł danych. Zasoby informacji gromadzone w ramach Europejskiego Systemu Statystycznego zostały wykorzystane w niniejszej publikacji do zaprezentowania przemian, jakie od 2004 r. zaszły zarówno w Polsce, jak i w całej Unii Europejskiej. Oddanie pełnego spektrum tych zmian w zwięzłej formie jest zadaniem niemożliwym.