1 Secondary data analysis: an introduction All data are the consequence of one person asking questions of someone else. (Jacob 1984: 43) This chapter introduces the field of secondary data analysis. It begins by considering what it is that we mean by secondary data analysis‚ before describing the type of data that might lend itself to secondary analysis and the ways in which the approach has developed as a research tool in social and educational research. The second part of the chapter considers
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HOA BUI (JASSIE) The reading passage mainly discusses about the bad effects of drinking alcohol. However‚ according to the lecture‚ the professor disagrees with the writer’s opinion which points out negative influences of alcohol in causing health problems‚ gaining weight and leading to bad social behaviors. First‚ the lecturer mentions that alcohol helps dealing with health issues‚ which challenge the fact‚ that drinking causes health problem stated in the reading passage. He believes that reasonable
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Marketing Communication and Public Relation (MKT2MPR) IMC Plan for Orion’s Choco Pie [pic] Lecturer: Ms. Le Minh Hang Group: Nguyen Minh Ngoc Tran Huyen Trang Bui Thi Khanh Ly Nguyen Thi Minh Thu Tran Anh Dung Class: BBUS 13 Date of submission: Jun 1st 2012 Executive summary Orion is a famous Korean confectionary food corporation and its subsidiary was instituted since 2005 in Vietnam with the production of a wide
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Turning data into information © Copyright IBM Corporation 2007 Course materials may not be reproduced in whole or in part without the prior written permission of IBM. 4.0.3 Unit objectives After completing this unit‚ you should be able to: Explain how Business and Data is correlated Discuss the concept of turning data into information Describe the relationships between DW‚ BI‚ and Data Insight Identify the components of a DW architecture Summarize the Insight requirements and goals of
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This file of RES 351 Week 3 Discussion Questions and Summary shows the solutions to the following problems: DQ 1: Differentiate between the scientific method and applied research. Which one is most often used in business? Provide an example of either that might be appropriate from your current or previous place of employment DQ 2: You are the manager of a hotel. There have been several complaints from guests relating to employee attitude. Provide a description of three different types
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Department of Education Office of Federal Student Aid Data Migration Roadmap: A Best Practice Summary Version 1.0 Final Draft April 2007 Data Migration Roadmap Table of Contents Table of Contents Executive Summary ................................................................................................................ 1 1.0 Introduction ......................................................................................................................... 3 1.1 1.2 1.3 1.4 Background
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any browser and on Windows platform. CHAPTER 2 SYSTEM ANALYSIS 2.1 INTRODUCTION Systems analysis is a process of collecting factual data‚ understand the processes involved‚ identifying problems and recommending feasible suggestions for improving the system functioning. This involves studying the business processes‚ gathering operational data‚ understand the information flow‚ finding out bottlenecks and evolving solutions for overcoming the weaknesses of the system so as to achieve the
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LECTURE 1 DATA TYPES Our interactions (inputs and outputs) of a program are treated in many languages as a stream of bytes. These bytes represent data that can be interpreted as representing values that we understand. Additionally‚ within a program we process this data that can be interpreted as representing values that we understand. Additionally‚ within a program we process this data in various way such as adding them up or sorting them. This data comes in different forms. Examples include: your
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|Case Study: Data for Sale | |Management Information System | | | |
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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 in the following table. Mass(kg)62 72 66 79 85 82 92 88 BMI 19 22 20 24 26 25 28 27 (a) Create a scatter plot for the data. (b) Describe any trends in the data. Explain. (c) Construct a median–median line for the data. Write a question that requires the median– median line to make a prediction. (d) Determine the equation of the median–median line
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