This presentation highlights the role of the Standards, Methodologies, and Quality Directorate in overseeing statistical programs and services. It covers topics such as quality assurance, sampling frames, statistical classifications, and user satisfaction surveys. The directorate collaborates with v

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Marcos Sanches is a biostatistician at Biostatistic Core, CAMH, dedicated to enhancing the statistical quality of research projects. With expertise in various study designs, statistical techniques, and software, Marcos provides support throughout the project lifecycle, from grant applications to dat

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Statistical studies require careful consideration of the scope of inference to draw valid conclusions. Researchers need to determine if the study design allows generalization to the population or establishes cause and effect relationships. For example, a study on the effects of cartoons on children'

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This educational slide module delves into fundamental statistics for analyzing clinical endpoints in diabetes research. It covers the choice of statistical methods, the distinction between statistical and clinical significance, and the importance of different endpoints in evaluating clinical benefit

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Statistical analysis aims to make inferences about populations based on sample data. Hypothesis testing is a crucial aspect where decisions are made regarding accepting or rejecting specific values or parameters. Statistical and parametric hypotheses, null hypotheses, and decision problems are key c

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This course aims to equip managers with statistical skills to analyze data effectively and make informed decisions in various management areas. It covers topics such as measures of central tendency, statistical models, and the importance of statistical analysis in improving business decisions. The i

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Exploring the concept of degrees of freedom in statistical modeling, this presentation discusses the importance of having adequate degrees of freedom for model fitting and interpretation. It compares different models with varying degrees of freedom, illustrating how a null model with zero parameters

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Variability is key in statistical studies, shaping the essence of statistical analysis. Students often struggle to grasp the concept of variability, despite being taught statistical methods. The term "variation" takes on different meanings in various statistical contexts, presenting challenges in co

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Kenya National Bureau of Statistics (KNBS) employs administrative data for statistical purposes, as highlighted in the sub-regional workshop on integrating administrative data, big data, and geospatial information for compiling SDG indicators. The legal and institutional framework, data collection m

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This material introduces the fundamental concepts of data collection and statistics. Learning objectives include distinguishing statistical questions, identifying populations and samples, and understanding the difference between observational studies and experiments. It discusses the process of stat

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Regional statistics play a crucial role in informing regional policies, monitoring progress, and assessing developmental outcomes. The Gulf Cooperation Council (GCC) has established GCC-Stat as a regional statistics center to meet statistical requirements at the GCC level. By improving regional data

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Dive into the world of statistical learning with a focus on the impact of wise queries. Discover how statistical problems are approached, the significance of statistical queries, and the comparisons between wise and unary queries. Explore the implications for PAC learning and uncover key insights in

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Presentation of the results from a survey conducted in Zambia to identify environmental statistics in the National Statistical System. The survey focused on key capacity areas applying the CD4.0 approach, including institutional setting, legal framework, funds, infrastructure, data coordination, sta

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IBM SPSS, formerly known as Statistical Package for the Social Sciences, is a powerful software package for statistical analysis used by researchers across various industries. Developed in the late 1960s, SPSS offers features for data management, statistical analysis, and data documentation. It simp

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The Myanmar Statistical System operates as a decentralized system with the Central Statistical Organization playing a crucial role at the national level. Various surveys and data collection efforts are undertaken by different ministries and agencies, coordinated by the CSO. The CSO compiles and pres

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The Trust Fund for Statistical Capacity Building (TFSCB) is a multi-donor trust fund launched in 1999, supporting over 200 projects worldwide to strengthen statistical systems in developing countries. It focuses on national strategy development and improving statistical capacity in key priority area

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The Capacity Building Sub-Committee (CBSC) report highlights the effects of the COVID-19 pandemic on capacity building efforts in 2020. Contributions from various sources like the IHO budget, donations, and support from countries like the Republic of Korea, Japan, and Canada are crucial for empoweri

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This content delves into formulating hypotheses in social science, selecting statistical tests based on variables' measurement levels, understanding probability in statistical analysis, and distinguishing between null and alternative hypotheses. It emphasizes the research process involving hypothesi

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Development of guidelines for publishing statistical data as linked open data, merging statistics and geospatial information, with a primary focus on preparing a background for LOD implementation in official statistics. The project aims to identify data sources, harmonize statistical units, transfor

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Explore the process of drafting an evaluation blueprint to build state capacity for accurate data collection, reporting, and utilization in education. The discussion covers IDC evaluation approaches, qualitative methodologies, state perspectives on capacity building, and initial feedback. Kentucky's

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The partnership between the National School of Government (NSG) and the European Union (EU) through the Public Service Training and Capacity Building Programme aims to strengthen institutional capacity for human development in South African public administration. This collaboration supports the stra

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In the realm of statistical development, the National Institute of Statistics in Tunisia embarked on a transformative journey towards a fully SDMX compliant information system. Initiatives included capacity building, data migration, and the adoption of a new dissemination platform. Steps such as SDM

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Exploring the essential pillars for a modern National Statistical System, including legal framework, institutional coordination, and data infrastructure. Emphasizing the complexity of economic processes and the need for integrated approaches for statistical capacity building to meet SDG targets and

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This workshop, hosted by PARIS21 and UNDP, focuses on enhancing statistical capacity development in Lao PDR. It covers topics like successful capacity development programs, partnerships for national statistics development, and prioritizing needs versus international requirements. The Lao Statistics

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Explore the fundamentals of study design & research methodology, learn to select appropriate statistical tests, and practice statistical analysis using JMP Pro Software. Topics include research question formulation, statistical methods, regression, survival analysis, data visualization, and more. Un

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Explore the importance of severe testing, statistical crisis of replication, and the American Statistical Association's stance on P-values in ensuring reproducibility and error correction in scientific research. Delve into the philosophical, statistical, and historical aspects of error statistical m

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The Montenegrin Statistical Business Register plays a crucial role in producing economic statistics by serving as a directory for legal and statistical units. This live register undergoes continuous changes, with administrative and statistical sections ensuring consistency. The register updates data

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The new regulation in Portugal brings significant changes in capacity booking and trading to promote convergence with CAM NC and enable a secondary market. Major changes include ex-ante payment of capacity rights, capacity allocation via a booking platform, and enhancement of liquidity in the second

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This presentation discusses the importance of enhancing statistical capacities in OIC member countries to achieve Sustainable Development Goals (SDGs), with a focus on the role of SESRIC. It covers the evolution of statistical definitions, the use of Statistical Capacity Index (SCI) for analysis, an

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The post-2015 development agenda emphasizes the need for a comprehensive global policy agenda, impacting statistical systems worldwide. This agenda seeks to improve data collection, coordinate international statistical efforts, and enhance national statistical systems by 2020 to support the Sustaina

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The role of statistical standards in constructing national data backbones is crucial for efficient data dissemination and reporting, especially in the context of Sustainable Development Goals (SDGs). Statistical standards guide the orchestration of information flows within a national statistical net

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Several significant statistical events took place in the San Diego area between 2001 and 2003, featuring renowned speakers and experts in the field. These events covered topics such as meta-analysis, global atmospheric changes, statistical trends, and annual statistical career days. The gatherings p

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The U.S. Federal Statistical System comprises 13 principal statistical agencies responsible for collecting and analyzing data across various sectors. The system includes agencies like the Bureau of Economic Analysis, Bureau of Labor Statistics, and U.S. Census Bureau. Geographic identifiers (GEOIDs

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The International Statistics Institute advocates for professional capacity building among statisticians in the Pacific, emphasizing mutual support, networking, and professional standards. The proposal suggests establishing a Pacific Islands Statistical and Geospatial Society to strengthen networks,

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Quality, accessible, and reliable data play a crucial role in achieving Sustainable Development Goals (SDGs) and leaving no one behind. The UK, through initiatives like the Inclusive Data Charter and partnerships with National Statistical Institutes in Africa, focuses on modernization, capacity buil

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The Slovene National Statistical System comprises institutions like the Statistical Office of the Republic of Slovenia and various advisory committees responsible for producing official statistical data following European and UN standards. It emphasizes neutrality, objectivity, transparency, and con

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The African Development Bank is focused on promoting the generation and dissemination of high-quality data in Africa to support monitoring progress on development goals like the SDGs and the High 5s. Through various initiatives and capacity building activities, the Bank aims to develop sustainable s

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AFRISTAT, an international organization formed in 1997, plays a pivotal role in harmonizing statistical methods across its 22 member states in Africa. With a focus on capacity building, technical assistance, and data management, AFRISTAT aims to enhance economic and statistical systems for better po

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The Pacific Regional Conference on Poverty Analysis Methods, to be held in Fiji, will focus on enhancing statistical capacity in the Pacific Island Countries. The conference will cover topics such as monetary poverty measurement, Cost of Basic Needs approach, and technical capacity building to suppo

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In the USP General Chapter 1210, Statistical Tools for Method Validation are outlined, serving as a companion to the validation of Compendial Procedures. The chapter covers important topics like Accuracy, Precision, Linearity, LOD, LOQ, and range. It emphasizes statistical tools such as TOST, statis

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