Index……………………………………………………………………………..1 2.Introduction…..……………………………………………………………….. 2 3.Rhoticity and its relation to social prestige……………………………..……… 3 4. The department store study……………………………………………………… 4 4.1 New York City department stores represent different social environments. 5 4.2The internal stratification in New York City Department stores………..6 5.Sociolinguistic structure of (r)……………………………………………….8 6.Conclusion……………………………………………………………………...11 7.Bibliography……………………………………………………………………
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Collecting‚ Reviewing‚ and Analyzing Secondary Data WHAT IS SECONDARY DATA REVIEW AND ANALYSIS? Secondary data analysis can be literally defined as second-hand analysis. It is the analysis of data or information that was either gathered by someone else (e.g.‚ researchers‚ institutions‚ other NGOs‚ etc.) or for some other purpose than the one currently being considered‚ or often a combination of the two (Cnossen 1997). If secondary research and data analysis is undertaken with care and diligence
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International Business Research; Vol. 5‚ No. 8; 2012 ISSN 1913-9004 E-ISSN 1913-9012 Published by Canadian Center of Science and Education A Model for Evaluating Financial Performance of Companies by Data Envelopment Analysis A Case Study of 36 Corporations Affiliated with a Private Organization Reza Tehrani1‚ Mohammad Reza Mehragan1 & Mohammad Reza Golkani1 1 School of Management‚ University of Tehran‚ Tehran‚ Iran Correspondence: Mohammad Reza Golkani‚ School of Management‚ University
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billion bytes of data in digital form be it on social media‚ blogs‚ purchase transaction record‚ purchasing pattern of middle class families‚ amount of waste generated in a city‚ no. of road accidents on a particular highways‚ data generated by meteorological department etc. This huge size of data generated is known as big data. Generally managers use data to arrive at decision. Marketers use data analytics to determine customer preferences and their purchasing pattern. Big data has tremendous potential
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Q) What are Secondary Data? Secondary Data Secondary data is information gathered for purposes other than the completion of a research project. Data previously collected by someone else‚ possibly for some other purpose that can be used later for making decisions if found suitable for the purpose‚ other than the original one. Secondary data can be acquired from the internal records of the organization‚ their departments‚ subsidiaries or sister organizations and also from external sources‚ such
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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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TYPICAL QUESTIONS & ANSWERS OBJECTIVE TYPE QUESTIONS Each question carries 2 marks. Choose the correct or best alternative in the following: Q.1 In the relational modes‚ cardinality is termed as: (A) Number of tuples. (B) Number of attributes. (C) Number of tables. (D) Number of constraints. Ans: A Q.2 Relational calculus is a (A) Procedural language. (C) Data definition language. Ans: B Q.3 The view of total database content is (A) Conceptual view. (C) External view. Ans: A Q.4 Cartesian product
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Topic 1: The Data Mining Process: Data mining is the process of analyzing data from different perceptions and summarizing it into useful evidence that can be used to increase revenue‚ cut costs or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles‚ categorize it and summarize the relationships identified. Association‚ Clustering‚ predictions and sequential patterns‚ decision trees and classification
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Chapter 1 Exercises 1. What is data mining? In your answer‚ address the following: Data mining refers to the process or method that extracts or \mines" interesting knowledge or patterns from large amounts of data. (a) Is it another hype? Data mining is not another hype. Instead‚ the need for data mining has arisen due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. Thus‚ data mining can be viewed as the result of
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Finance Legal Department Legal Department * The Legal Department is responsible for managing the legal affairs and legal risks of Bank. The Department employs highly skilled outside counsel who have a strong commitment to the success of Bank‚ to upholding high standards of professional and ethical conduct‚ and to ensuring timely‚ responsive‚ and cost-effective service. Roles of Legal Department * One of the most important roles of the legal department is as legal advisers
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