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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Midterm Review Mission: Data processing
The responsibilities, history, devices, apps, and techniques involved in data processing, covering tasks like developing apps, training, technical support, and integrating GIS. Learn about the evolution from paper-based data collection to handheld devices and modern applications. Discover how the Ge
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National Food Processing Policy and Its Importance
National Food Processing Policy aims to address the significant wastage in food production through value addition and efficient processing. The policy highlights the reasons for food processing, including reducing losses in the supply chain and enhancing quality. It emphasizes creating an enabling e
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Statistical representations, measures and analysis
Explore a comprehensive collection of checkpoint activities in mathematics for Year 8 students focusing on statistical representations, measures, and analysis. Engage with seventeen checkpoint activities and twelve additional activities published in 2022/23. Delve into topics such as comparing chart
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Enhancing Statistical Quality at Palestinian Central Bureau of Statistics
Palestinian Central Bureau of Statistics (PCBS) is dedicated to improving the quality of statistical outputs through various systems and tools like GSBPM, DESAP, NQAF, and ISO 9001. Quality reports, self-assessment programs, and a national quality assurance framework have been implemented to ensure
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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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Understanding the Importance of SDMX in Statistical Data Exchange
Statistical Data and Metadata Exchange (SDMX) is an ISO standard crucial for describing, exchanging, and sharing statistical data efficiently across organizations. SDMX automates SDG data exchange, facilitates validation and reporting, and emphasizes the significance of data models. Developing a Dat
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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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Introduction to Spark Streaming for Large-Scale Stream Processing
Spark Streaming, developed at UC Berkeley, extends the capabilities of Apache Spark for large-scale, near-real-time stream processing. With the ability to scale to hundreds of nodes and achieve low latencies, Spark Streaming offers efficient and fault-tolerant stateful stream processing through a si
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Opportunities in Ethiopia's Agro-Processing Industry
Ethiopia stands out as a leader in raw material production for agro-processing industries, offering opportunities in dairy, juice processing, edible oil processing, poultry, beef production, and tomato processing. With abundant resources, suitable climate conditions, and a growing domestic market, E
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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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Significance of Raw Materials in Food Processing
Effective selection of raw materials is crucial for ensuring the quality of processed food products. The quality of raw materials directly impacts the final products, making it important to procure materials that align closely with processing requirements. Quality evaluation, including microbiologic
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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 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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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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Overview of Digital Signal Processing (DSP) Systems and Implementations
Recent advancements in digital computers have paved the way for Digital Signal Processing (DSP). The DSP system involves bandlimiting, A/D conversion, DSP processing, D/A conversion, and smoothing filtering. This system enables the conversion of analog signals to digital, processing using digital co
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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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Introduction to Corpora and Statistical Methods in Natural Language Processing
This course, CSA5011, delves into statistical natural language processing, covering language formalization, Java as an artificial language, natural language complexity, and levels of analysis in phonetics, morphology, syntax, and semantics.
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Advancements in Signal Processing for ProtoDUNE Experiment
The team, including Xin Qian, Chao Zhang, and Brett Viren from BNL, leverages past experience in MicroBooNE to outline a comprehensive work plan for signal processing in ProtoDUNE. Their focus includes managing excess noise, addressing non-functional channels, and evolving signal processing techniqu
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Understanding Sampling and Signal Processing Fundamentals
Sampling plays a crucial role in converting continuous-time signals into discrete-time signals for processing. This lecture covers periodic sampling, ideal sampling, Fourier transforms, Nyquist-Shannon sampling, and the processing of band-limited signals. It delves into the relationship between peri
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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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Impact of Harvest and Post-Harvest Processing on Sea Cucumber Quality in Fiji Islands
Sea cucumbers, a valuable delicacy in Asian cuisine, have been harvested in Fiji for centuries due to their rich nutritional profile and health benefits. This study investigates the effects of different harvest and post-harvest processing methods on the quality of bche-de-mer, a dried form of sea cu
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Enhancing Near-Data Processing with Active Routing
Explore the implementation and benefits of Active-Routing for efficient data processing in memory networks. Motivated by the increasing demands for memory in graph processing and deep learning, this approach aims to reduce data movement, energy consumption, and costs associated with processing large
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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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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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Overview of RNMRTK Software for NMR Data Processing
Rowland NMR Toolkit (RNMRTK) is a comprehensive software platform primarily used for NMR data processing tasks such as running MaxEnt, apodization, DFT processing, linear prediction, and more. It offers a robust set of tools for various processing needs and supports efficient parallel processing. RN
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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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