Population and Social Statistics Directorate
Statistical and Non-Statistical Directorates Presentations on Population and Social Statistics Department. Statistical programs and services covered under this domain. Major projects conducted in the past three years. Main publications (paper, electronic).
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Standards, Methodologies, and Quality in Statistical Programs and Services
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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Biostatistician Expert Offering Statistical Support and Training at CAMH
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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Evolution of Mathematical Theories and Proof Systems
Development of mathematical theories such as model theory, proof theory, set theory, recursion theory, and computational complexity is discussed, starting from historical perspectives with Dedekind and Peano to Godel's theorems, recursion theory's golden age in the 1930s, and advancements in proof t
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Psychological Theories of Criminality: Understanding the Roots
Psychological theories of criminality delve into the association between intelligence, personality, learning, and criminal behavior. Major theories include Psychodynamic Theory by Freud, Behavioral Theory by Bandura, and Cognitive Theory by Kohlberg. These theories explore how unconscious mental pro
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Understanding the Scope of Inference in Statistical Studies
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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Understanding Statistical Methods for Clinical Endpoints in Diabetes Research
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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Understanding the Theory of Firms: Neoclassical vs. Modern Approaches
The theory of firms is explored through the Neoclassical and Modern perspectives. Neoclassical theory focuses on profit maximization, while Modern theory delves into managerial, principal-agent, and transaction cost theories. The discussion covers criticisms of Neoclassical theory and the essential
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Understanding Hypothesis Testing in Statistical Analysis
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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Statistics for Managers: A Comprehensive Course Overview
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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Understanding Degrees of Freedom in Statistical Models
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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Understanding Variation in Statistical Studies
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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Utilizing Administrative Data for Statistical Analysis in Kenya's National Statistical System
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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Introduction to Data Collection & Statistics: Understanding Statistical Questions, Population, and Sampling
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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Theories of Causation in Psychological and Social Sciences
Overview of theories of causation categorized into psychological, social psychological, and sociological perspectives. Psychological theories focus on instinctive, biological, and psychological qualities of abusers, including Attachment Theory, Psychodynamic Theory, Social Learning Theory, and Situa
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Understanding Political Theory through a Contextual Approach
Exploring G.H. Sabine's perspective on political theory through a contextual approach, emphasizing the importance of historical context and societal influences. Sabine argues that while political theory evolves with its contemporary politics, it should be analyzed within its specific time and social
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Enhancing Regional Integration Through Statistical Collaboration in the GCC
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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Understanding Sampling Theory: An Introduction to Statistical Surveys
Statistical surveys play a crucial role in collecting information to fulfill specific needs across various fields such as population demographics, labor statistics, agriculture, industry, and trade. A statistical survey involves investigating unknown characteristics of a population, focusing on para
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Evolution of Light Theory: From Wave Theory to Quantum Theory
At the turn of the century, the discovery of the photoelectric effect challenged the wave theory of light, leading to the development of the quantum theory by Max Planck and Albert Einstein. This new theory introduced the concept of discrete energy units known as quanta, bridging the gap between wav
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Exploring the Power of Wise Queries in Statistical Learning
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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Understanding IBM SPSS for Statistical Analysis
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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Overview of Myanmar Statistical System and Central Statistical Organization
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
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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Dp-branes, NS5-branes, U-duality, and M-Theory Overview
Overview of Dp-branes, NS5-branes, and U-duality derived from nonabelian (2,0) theory with Lie 3-algebra. Introduction to M-theory, including M2-branes and M5-branes in the strong coupling limit. Discussion on BLG theory, Lorentzian Lie 3-algebra, and the ABJM theory for M2-branes.
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Understanding Hypotheses, Probability, and Statistical Tests in Social Research
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 Georeferenced Statistical Data Using Linked Open Data Technologies
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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Understanding Time-Independent Perturbation Theory in Quantum Mechanics
Perturbation theory is a powerful tool in solving complex physical and mathematical problems approximately by adjusting solutions from a related problem with known solutions. This theory allows for more accurate approximate solutions by treating the difference as a small perturbation. An example inv
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Ethical Theories: Divine Command vs. Virtue Theory Explained
Divine Command Theory asserts that morality is derived from God's commands, contrasting with Virtue Theory which focuses on developing moral virtues to achieve human flourishing and excellence. Divine Command Theory relies on religious texts, while Virtue Theory emphasizes the cultivation of virtues
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Understanding Fermi Liquid Theory in Interacting Fermion Systems
Fermi liquid theory, also known as Landau-Fermi liquid theory, is a theoretical model that describes the normal state of metals at low temperatures. Introduced by Landau and further developed by Abrikosov and Khalatnikov, this theory explains the similarities and differences between interacting ferm
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Jumping into Statistics: Study Design & Statistical Analysis in Medical Research
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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Understanding Error Correction and Reproducibility in Science
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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Probability and Statistics for Data Science Course Overview
This online course on Probability and Statistics for Data Science covers essential topics such as Probability theory, Statistical inference, Regression analysis, and more. The course emphasizes the application of statistical techniques in data analysis and provides a solid foundation in Probability
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Understanding the Montenegrin Statistical Business Register
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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Enhancing Statistical Capacities of OIC Member Countries to Achieve SDGs: The Role of SESRIC
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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Statistical Journal of IAOS: Insights and Trends
Statistical Journal of the IAOS (SJIAOS) serves as the central platform for advancing official statistics globally. In 2023, it featured 78 articles in four regular issues, emphasizing strategic themes, methodological advancements, and the importance of open access. While experiencing a decline in a
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Enhancing Global Statistical Systems for Sustainable Development
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 Statistical Association Between Substance Misuse and Criminal Behavior
This brief synthesis discusses the statistical association between substance misuse (specifically drugs and alcohol) and criminal behavior. It draws upon meta-analyses investigating the links between drug use and crime, as well as alcohol consumption and violent behavior. Various theories are explor
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Statistical Genomics Lecture 5: Linear Algebra Homework Questions
Explore the concepts of random variables, covariance matrix, special matrices, and self-defined functions in statistical genomics through a series of homework questions. Gain insights into linear algebra and statistical genomics while working on Homework 1, analyzing the expectation and variance of
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Computational Learning Theory: An Overview
Computational Learning Theory explores inductive learning algorithms that generate hypotheses from training sets, emphasizing the uncertainty of generalization. The theory introduces probabilities to measure correctness and certainty, addressing challenges in learning hidden concepts. Through exampl
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Automata Theory and Theory of Computation Overview
This course overview covers concepts in automata theory and theory of computation, including formal language classes, grammars, recognizers, theorems in automata theory, decidability, and intractability of computational problems. The Chomsky hierarchy, interplay between computing components, modern-
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