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    DATA COLLECTION

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    DATA COLLECTION Business Statistics Math 122a DLSU-D Source: Elementary Statistics (Reyes‚ Saren) Methods of Data Collection 1. 2. 3. 4. 5. DIRECT or INTERVIEW METHOD INDIRECT or QUESTIONNAIRE METHOD REGISTRATION METHOD OBSERVATION METHOD EXPERIMENT METHOD DIRECT or INTERVIEW Use at least two (2) persons – an INTERVIEWER & an INTERVIEWEE/S – exchanging information.  Gives us precise & consistent information because clarifications can be made.  Questions not fully understood by the respondent

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    Kfc Data

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    KFC * 1. INTRODUCTION …… KFC is the world’s No.1 Chicken QSR. Leading in UK‚ Australia‚ South Africa‚ China‚USA‚ Malaysia and many more. Introduced many offerings for its growing customer base in India while staying rooted in the taste legacy of Colonel Harland Sander’s secret recipe. Products are made on the motto of“Crispy outside‚ juicy inside” . In India‚ KFC is growing rapidly and today has presence in 21 * 2. HISTORICALBACKGROUND…… In 1930’s Colonel Harland Sanders some distinguished

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    Data Warehousing

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    Data Warehousing‚ Data Marts and Data Mining Data Marts A data mart is a subset of an organizational data store‚ usually oriented to a specific purpose or major data subject‚ that may be distributed to support business needs. Data marts are analytical data stores designed to focus on specific business functions for a specific community within an organization. Data marts are often derived from subsets of data in a data warehouse‚ though in the bottom-up data warehouse design methodology the data

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    Data Mining

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    Current Techniques‚ Image Files‚ Overview‚ Steganography‚ Taxonomy. 1. INTRODUCTION In this modern era‚ computers and the internet are major communication media that connect different parts of the world as one global virtual world. As a result‚ people can easily exchange information and distance is no longer a barrier to communication. However‚ the safety and security of long-distance communication remains an

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    Essay People are Not Always What They Appear To Be Sometime people surprise us. Sometime they outright shock us. Sometimes they turn out to be not at all who we thought they were. People are not always what they appear to be; it can be for the best or worse. Personal issues such as gambling‚ drugs‚ and alcohol can prove that people are not who they appear to be because they hide their addictions. A second example to show that people are not who they appear to be is how they decide to dress; whether

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    Data Projectors

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    Data Projectors Amy Shipman $50- $66‚525 What is a data projector? It is “a device that projects computer output onto a white or silver fabric screen that is wall‚ ceiling or tripod mounted." The three most common types of data projectors are the LCD‚ DLP‚ and the LCoS. Each type of projector will project your audio and video‚ they just have different ways to process the output of your audio and video. DLP stands for Digital Light Processing. This type of data projector has a light that

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    The Last Breath

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    Straw man fallacy "The NRA wants hundreds of children and teens to be killed annually." is one example of the straw man fallacy‚ akin to "The swimming pool companies want hundreds of kids to drown annually. The Straw Man fallacy is committed when a person simply ignores a person’s actual position and substitutes a distorted‚ exaggerated or misrepresented version of that position. Wishful Thinking Fallacy I want P to be true. Therefore‚ P is true. An example of this would be faith in Obama

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    1 Intercorporate Acquisitions and Investments in Other Entities McGraw-Hill/Irwin Copyright © 2009 The McGraw-Hill Companies‚ Inc. All rights reserved. The Development of Complex Business Structures • Enterprise expansion as a means of survival and profitability – Size often allows economies of scale – New earning potential – Earnings stability through diversification – Management rewards for bigger company size – Prestige associated with company size 1-2 Organizational

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    The Last Lecture

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    Part 1 Childhood Dreams Looking back on my childhood‚ I tend to go negative. We moved so much. My parents were not educated enough to help me with my homework. I felt lonely. My mom suffered from manic depression‚ and it sucked. We were so poor. But when I think about actual moments of my childhood‚ specific‚ tiny‚ day-to-day moments‚ I know I was lucky: in many ways‚ I had won the parent lottery. My parents somehow innately knew that part of the reason for their misfortune was their current lack

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    Data Mining

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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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