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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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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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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Physical distribution is a critical aspect of business operations involving the planning, implementation, and control of the flow of goods from origin to consumer. Philip Kotler and William J. Stanton have defined physical distribution as a process of managing the movement of goods to meet consumer

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Understanding the methods to optimize the supply chain through inventory management, basic functions of transportation and distribution management, distribution strategies, importance of creating visibility in transportation and distribution activities, and the role of technology in enhancing operat

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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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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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Probability distributions play a crucial role in data analysis, and R programming provides built-in functions for handling various distributions. The binomial distribution, a discrete distribution describing the number of successes in a fixed number of trials, is commonly used in statistical analysi

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Explore the intersection of statistical genomics, machine learning, and artificial intelligence through topics like knowledge mining, MMAP algorithm, cloud computing, and historical events such as Garry Kasparov vs IBM Deep Blue. Delve into the concepts of statistical learning methods, data predicti

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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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Multinomial Distribution is a powerful tool used in statistical analysis to model outcomes of events with multiple categories. This distribution is applied to scenarios where each trial has several possible outcomes, and the sum of probabilities of all outcomes is equal to 1. By defining random vari

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In the realm of cryptography, effective key management and distribution are crucial for secure data exchange. This involves methods such as symmetric key distribution using symmetric or asymmetric encryption, as well as the distribution of public keys. The process typically includes establishing uni

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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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A data distribution represents values and frequencies in ordered data. The normal distribution is bell-shaped, symmetrical, and represents probabilities in a continuous manner. It's characterized by features like a single peak, symmetry around the mean, and standard deviation. The uniform distributi

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Written procedures and distribution records are crucial for the efficient distribution of drug products. Procedures should prioritize the distribution of the oldest approved stock first and enable easy recall if necessary. Distribution records must be maintained and indexed for accountability. Diffe

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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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Normal distribution, also known as Gaussian distribution, is a symmetric probability distribution where data near the mean are more common. It is crucial in statistics as it fits various natural phenomena. This distribution is symmetric around the mean, with equal mean, median, and mode, and denser

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Probability distributions play a crucial role in data analysis, with the binomial distribution being a key one in R. This distribution helps describe the number of successes in a fixed number of trials with two possible outcomes. Learn about the properties, probability computations, mean, variance,

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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 normal distribution calculations in Statistics involves calculating probabilities within intervals and finding values corresponding to given probabilities. This lesson delves into the application of normal distribution to determine probabilities of scoring below a certain level on tests an

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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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A statistical study examines birth season distribution among students, comparing the number of births in different seasons. Chi-Square tests are utilized to analyze the data and test for associations between categorical variables. An example uses the goodness-of-fit test to determine if student grad

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Explore the concepts of multivariate normal distribution, linear combinations, subsets, and variance-covariance in statistical analysis. Learn to simulate data using PROC SIMNORM and analyze variance-covariance from existing datasets to gain insights into multivariate distributions. Visualize data t

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Box-Cox transformation is a powerful tool in statistical analysis, allowing for better model fitting by transforming response variables to a power that optimizes the data distribution. Common values of lambda are discussed for different types of data. The validity of statements of statistical signif

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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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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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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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Diving into the world of statistical distributions, this content explores the chi-square distribution and its relationship with the normal distribution. It delves into how the chi-square distribution is related to the sampling distribution of variance, examines the F-distribution, and explains key c

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Exploring the Fermi-Dirac distribution function and the Bose-Einstein distribution in the context of the grand canonical ensemble for non-interacting quantum particles. The lecture delves into the impact of particle spin on energy spectra, enumeration of possible states, self-consistent determinatio

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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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