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Data Reporting
Data reporting is the process of collecting and submitting data which gives rise to accurate analyses of the facts on the ground; inaccurate data reporting can lead to vastly uninformed decision-making based on erroneous evidence. Different from data analysis that transforms data and information into insights, data reporting is the previous step that translates raw data into information. When data is not reported, the problem is known as underreporting; the opposite problem leads to false positives. Data reporting can be an incredibly difficult endeavor. Census A census is the procedure of systematically acquiring, recording and calculating information about the members of a given population. This term is used mostly in connection with national population and housing censuses; other common censuses inc ... bureaus may hire even hundreds of thousands of workers to achieve the task of counting all of the residents of a country. Teachers use data from student assessments to determ ...
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Data Collection
Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. Data collection is a research component in all study fields, including physical and social sciences, humanities, and business. While methods vary by discipline, the emphasis on ensuring accurate and honest collection remains the same. The goal for all data collection is to capture quality evidence that allows analysis to lead to the formulation of convincing and credible answers to the questions that have been posed. Data collection and validation consists of four steps when it involves taking a census and seven steps when it involves sampling. Regardless of the field of or preference for defining data (quantitative or qualitative), accurate data collection is essential to maintain research integrity. The selection of appropriate data collection instruments (existing, mo ...
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Data
In the pursuit of knowledge, data (; ) is a collection of discrete Value_(semiotics), values that convey information, describing quantity, qualitative property, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpretation (logic), interpreted. A datum is an individual value in a collection of data. Data is usually organized into structures such as table (information), tables that provide additional context and meaning, and which may themselves be used as data in larger structures. Data may be used as variable (research), variables in a computation, computational process. Data may represent abstract ideas or concrete measurements. Data is commonly used in scientific research, economics, and in virtually every other form of human organizational activity. Examples of data sets include price indices (such as consumer price index), unemployment rates, literacy rates, and census data. In this context, data represents the ...
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Facts On The Ground
Facts on the ground is a diplomatic and geopolitical term that means the situation in reality as opposed to in the abstract. The term was popularised in the 1970s in discussions of the Israeli–Palestinian conflict to refer to Israeli settlements built in the occupied West Bank, which were intended to establish permanent Israeli footholds in Palestinian territory. Rashid Khalidi wrote in 2010: See also * ''Fait accompli'' * ''De facto'' * ''Status quo ante bellum'' * '' Ex factis jus oritur'' * Realpolitik * Revanchism * Operation Uvda Operation Uvda ( he, מבצע עובדה, ''Mivtza Uvda'') was an operation conducted by the Israel Defense Forces during the 1948 Arab-Israeli War, from March 5 to March 10, 1949. It was the last campaign undertaken by the IDF during the war and ... * Ground truth References * * * * * Further reading Gershom Gorenberg, The Accidental Empire: Israel and the Birth of the Settlements, 1967-1977', Macmillan, 2006 Political terminology ...
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Data Analysis
Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering ...
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Underreporting
Under-reporting usually refers to some issue, incident, statistic, etc., that individuals, responsible agencies, or news media have not reported, or have reported as less than the actual level or amount. Under-reporting of crimes, for example, makes it hard to figure the actual incidence of crimes. Under-reporting is a failure in data reporting. Crime Various estimates have been provided in relation to under-reporting of crimes across the world. According to the American Medical Association (1995), sexual violence, and rape in particular, is considered the most under-reported violent crime. Common reasons for individuals not reporting crime include fear of not being believed, insecurity, and fear of getting into trouble. These reasons are most common for not reporting rape. It is commonly assumed that most of the rape cases go unreported; some estimates go up to or above 90%. (See also Rape reporting.) Non-recognition of domestic violence may lead to under-reporting. Murders are ...
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False Positive
A false positive is an error in binary classification in which a test result incorrectly indicates the presence of a condition (such as a disease when the disease is not present), while a false negative is the opposite error, where the test result incorrectly indicates the absence of a condition when it is actually present. These are the two kinds of errors in a binary test, in contrast to the two kinds of correct result (a and a ). They are also known in medicine as a false positive (or false negative) diagnosis, and in statistical classification as a false positive (or false negative) error. In statistical hypothesis testing the analogous concepts are known as type I and type II errors, where a positive result corresponds to rejecting the null hypothesis, and a negative result corresponds to not rejecting the null hypothesis. The terms are often used interchangeably, but there are differences in detail and interpretation due to the differences between medical testing and stati ...
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Census
A census is the procedure of systematically acquiring, recording and calculating information about the members of a given population. This term is used mostly in connection with national population and housing censuses; other common censuses include censuses of agriculture, traditional culture, business, supplies, and traffic censuses. The United Nations (UN) defines the essential features of population and housing censuses as "individual enumeration, universality within a defined territory, simultaneity and defined periodicity", and recommends that population censuses be taken at least every ten years. UN recommendations also cover census topics to be collected, official definitions, classifications and other useful information to co-ordinate international practices. The UN's Food and Agriculture Organization (FAO), in turn, defines the census of agriculture as "a statistical operation for collecting, processing and disseminating data on the structure of agriculture, covering ...
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Descriptive Statistics
A descriptive statistic (in the count noun sense) is a summary statistic that quantitatively describes or summarizes features from a collection of information, while descriptive statistics (in the mass noun sense) is the process of using and analysing those statistics. Descriptive statistic is distinguished from inferential statistics (or inductive statistics) by its aim to summarize a sample, rather than use the data to learn about the population that the sample of data is thought to represent. This generally means that descriptive statistics, unlike inferential statistics, is not developed on the basis of probability theory, and are frequently nonparametric statistics. Even when a data analysis draws its main conclusions using inferential statistics, descriptive statistics are generally also presented. For example, in papers reporting on human subjects, typically a table is included giving the overall sample size, sample sizes in important subgroups (e.g., for each treatment o ...
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