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    Secondary Data

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    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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    LANGUAGE III – Extensive Reading Material STUDY GUIDE: Like a Winding Sheet by Ann Petry 1. What were Mr. Johnson’s plans before waking up? 2. What did he do instead? Why? What part of the day was it? 3. Why did Mae make fun of him? Did Mr. Johnson enjoy her laughter? 4. How many times had Mr. Johnson been late to work? Why? For how long had he worked in those conditions? 5. How did Mr. Johnson feel about working the night shift and why? 6. What made Mae want

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    Tutorial Sheet

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    goes through the points (3‚ 18)‚ (2‚ 9) and (−2‚ 13). 3. Use the Gauss Jordan method to determine the complete solution set for the given system‚ and give one particular nontrivial solution. −2x1 − 3x2 + 2x3 − 13x4 = 0 −4x1 − 7x2 + 4x3 − 29x4 = 0 x1 + 2x2 − x3 + 8x4 = 0 4. Prove that the following homogeneous system has a nontrivial solution if and only if ad − bc = 0: ax1 + bx2 = 0 cx1 + dx2 = 0 . 5. Find all values of a for which the resulting linear system has (a) no solution‚ (b) a unique solution

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    Work Life Balance

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    LIFE BALANCE Table of Contents 1. Executive Summary 3 2. Introduction: Work Life Balance 3 3 Theories of Work Life Balance 4 i. Spill over theory 4 ii. Compensation Theory 4 iii. Strategic choice theory 4 iv. Stakeholder theory 5 v. Resource Based View 5 4. Work Life Balance Policies 6 5. Work life balance from an employee’s perspective 9 6. Work life balance from the employer’s perspective 10 7. Conclusion: Is Work life Balance achievable

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    Big Data

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    A glimpse of Big Data Jan. 2013 What is big data? “Big data is not a precise term; rather it’s a characterization of the never ending accumulation of all kinds of data‚ most of it unstructured. It describes data sets that are growing exponentially and that are too large‚ too raw or too unstructured for analysis using relational database techniques. Whether terabytes or petabytes‚ the precise amount is less the issue than where the data ends up and how it is used.”------Cite from EMC’s report

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    Comparative Management

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    A Comparison of Global Leadership Styles Steve Jobs vs. Akio Toyoda [pic] [pic] Course Title: Comparative Management Course Instructor: Miss Sarah Salahuddin Report Submitted By: Maha Hasan Maham Khalil Rehmani Nida Kamal Jibran Kayani Nosherwan Huma (BBA VII B Morn) Date of Submission: 3rd June 2010 Executive summary The first part of the report provides an introduction of the different theories and models of global leadership. A brief description of leadership

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    Comparative Summary

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    Comparative Summary HCS/577 June 8‚ 2013 Destiny Chen Stephanie Hildreth Comparative Summary In the health care industry there are different types program sector organizations‚ which has its own uniqueness. The different sectors of health care are divided amongst the for-profit‚ non-profit‚ and government organizations because they all have a common goal but the financial aspect is the same when it comes to providing care to patients. Within the three types of organization types‚ the financial

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    Data Structures

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    Data Structures and Algorithms DSA Annotated Reference with Examples Granville Barne Luca Del Tongo Data Structures and Algorithms: Annotated Reference with Examples First Edition Copyright c Granville Barnett‚ and Luca Del Tongo 2008. This book is made exclusively available from DotNetSlackers (http://dotnetslackers.com/) the place for .NET articles‚ and news from some of the leading minds in the software industry. Contents 1 Introduction 1.1 What this book is‚ and what

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    Data Management

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    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 in relational algebra is (A) a Unary operator. (B) a Binary operator. (C) a Ternary operator. (D) not defined

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    Data Base

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    Systems In an article written By Suqing Wang‚ eHow Contributor SQL Server Vs. Oracle Data Types   Database While designing and defining tables in databases‚ it is important to find out the data type for each column in the data tables. A data type is an attribute which defines the type of data an object can retain: integer‚ string‚ data and time‚ etc. There are basically three main types: text‚ numbers and date/times. The data types are different‚ depending on the database management system (DBMS)‚ the various

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