PRIMARY AND SECONDARY SOURCES What is Primary Sources? * Primary sources are original materials. Generally‚ primary sources are not accounts written after the fact with the benefit of hindsight. * Information for which the writer has no personal knowledge is not primary‚ although it may be used by historians in the absence of a primary source. * Primary sources provide first-hand testimony or direct evidence concerning a topic under investigation. They are created by witnesses or recorders
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nutrient Metabolism Dietary Chromium Supplementation with or without Somatotropin Treatment Alters Serum Hormones and Metabolites in Growing Pigs without Affecting Growth Performance1«2 CHRISTINA M. EVOCK-CLOVER‚3 MARILYN M. POLANSKY‚* RICHARD A. ANDERSON* AND NORMAN C. STEELE Nonruminant Animal Nutrition Laboratory and *Vitamin and Mineral Nutrition Laboratory‚ USDA-Agricultural Research Service‚ Beltsuille‚ MD 20705 increase in insulin internalization in rat muscle cells (Evans and Bowman 1992)
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IT433 Data Warehousing and Data Mining — Data Preprocessing — 1 Data Preprocessing • Why preprocess the data? • Descriptive data summarization • Data cleaning • Data integration and transformation • Data reduction • Discretization and concept hierarchy generation • Summary 2 Why Data Preprocessing? • Data in the real world is dirty – incomplete: lacking attribute values‚ lacking certain attributes of interest‚ or containing only aggregate data • e.g.‚ occupation=“ ”
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1. Data mart definition A data mart is the access layer of the data warehouse environment that is used to get data out to the users. The data mart is a subset of the data warehouse that is usually oriented to a specific business line or team. Data marts are small slices of the data warehouse. Whereas data warehouses have an enterprise-wide depth‚ the information in data marts pertains to a single department. In some deployments‚ each department or business unit is considered the owner of its data
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Professor Faleh Alshamari Submitted by: Wajeha Sultan Final Project Hashing: Open and Closed Hashing Definition: Hashing index is used to retrieve data. We can find‚ insert and delete data by using the hashing index and the idea is to map keys of a given file. A hash means a 1 to 1 relationship between data. This is a common data type in languages. A hash algorithm is a way to take an input and always have the same output‚ otherwise known as a 1 to 1 function. An ideal hash function is
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The Methods of Psychology Experiment: The experiment is the most useful of all scientific methods because most of the basic facts in psychology are supplied by the results of experimental studies. This method is generally done in a laboratory setting involving many controlled variables. They are particularly effective in proving hypotheses about cause and effect relationships between variables. A hypothesis is a prediction of how one variable relates to another. There are two
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Bottom of Form Primary and Secondary Markets The Primary market deals in newly issued securities where the price is fixed by the underwriter. Secondary markets deal with already issued stocks / bonds. The Primary market deals in newly issued securities where the price is fixed by the underwriter. Primary markets act as a source of new funds for the company issuing the stocks or bonds. Underwriters often reserve for themselves and their important clients a portion of the primary shares as part
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3. Students in Mrs. Singh’s math class were asked if they can watch television and do math homework at the same time. According to the results shown on the right‚ are males or females more likely to think they are able to do this? Explain. (The darker area represents Males) 4. Dexter is 45 years old and 181 cm tall. For the last 8 years‚ his doctor has charted Dexter’s mass and related it to his BMI (Body Mass Index). A BMI between 20 and 26 is considered healthy. The data is shown
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Big data describes innovative methods and technologies to capture‚ distribute‚ manage and analyze larger-sized data sets with high rate and diverse structures that conventional data management methods are unable to handle. Digital data is now everywhere—in every sector public or private‚ economy‚ organization and customer of digital technology. There are many ways that big data can be used to create value across sectors of the global economy. It has demonstrated the capacity to improve predictions
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research because they allow the researchers to analyze empirical data needed to interpret the findings and draw conclusions based on the results of the research. According to Portney and Watkins (2009)‚ all studies require a description of subjects and responses that are obtained through measuring central tendency‚ so all studies use descriptive statistics to present an appropriate use of statistical tests and the validity of data interpretation. Although descriptive statistics do not allow general
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