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    Data Communications

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    Introduction Data communications (Datacom) is the engineering discipline concerned with communication between the computers. It is defined as a subset of telecommunication involving the transmission of data to and from computers and components of computer systems. More specifically data communication is transmitted via mediums such as wires‚ coaxial cables‚ fiber optics‚ or radiated electromagnetic waves such as broadcast radio‚ infrared light‚ microwaves‚ and satellites. Data Communications =

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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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    data structures

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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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    Data Management

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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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    Data Types

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    Dynamic Dependency Analysis of Ordinary Programs 1 Todd M. Austin and Gurindar S. Sohi Computer Sciences Department University of Wisconsin-Madison 1210 W. Dayton Street Madison‚ WI 53706 faustin sohig@cs.wisc.edu A quantitative analysis of program execution is essential to the computer architecture design process. With the current trend in architecture of enhancing the performance of uniprocessors by exploiting ne-grain parallelism‚ rst-order metrics of program execution‚ such as operation frequencies

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    Economic Data

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    Assignment #2 EC1204 Economic Data Collection and Analysis Student No. 110393693 Part 1: Question 2 From analysing the Data on the Scatter Plot the relationship between the GDP and the Population of Great Britain from 1999-2009 appears to be a moderate positive correlation relationship. Both variables are increasing at a similar rate and following a similar pattern which would indicate this relationship. This relationship would tend to be a positive one as more people are available to the

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    Lab – Data Analysis and Data Modeling in Visio Overview In this lab‚ we will learn to draw with Microsoft Visio the ERD’s we created in class. Learning Objectives Upon completion of this learning unit you should be able to: ▪ Understand the concept of data modeling ▪ Develop business rules ▪ Develop and apply good data naming conventions ▪ Construct simple data models using Entity Relationship Diagrams (ERDs) ▪ Develop entity relationships and define

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    Apple Inc

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    Participant SIS ID: 1004324 Programme Name: Advance Diploma in Business Administration Subject name: ERCBA 201 Creativity and Innovation Subject Facilitator: Mr. Jude Title of Paper: Apple Inc. Number of Pages: 10 Total Word Count: 1645 Table Of Contents Cover…………………………………………………………..1 Table Of Contents…………………………………………….2 Executive Summary…………………………………………..3 Introduction………………………………………………….....4 Competitive Advantage.…………………………………….5-6 Key Issues & Challenges.…...……………………………

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    Apple Inc.

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    Objectives of study: 4 Data Analysis: 4 Business Strategy of Apple inc. 4 Operating System of the Company 5 Economic growth of Apple Inc. 6 Unit Sales of iPhone in 2011-2012 : 7 Apple computer company statistics: 8 Total annual revenue: 9 Total financial asset: 10 Sales of Share: 10 Revenue Contribution from the Divisions of Apple Inc: 11 Impact of Apple Inc in Home country and Host Country 12 Retail Store visitors of Apple Inc: 13 The Marketing System of Apple Inc 14 A. The company’s

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    Data Handling

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    from animal (1993) Effect of chromium picolinate on growth and serum and carcass traits of growing-finishing Roginski‚ E. E. & Mertz‚ W. (1969) Effects of chromium (ffl) sup plementation on glucose and amino acid metabolism in rats fed SAS Institute Inc. (1982) SAS User ’s Guide: Statistics. SAS In stitute‚ Cary‚ NC. Steele‚ N. C.‚ McMurtry‚ J. P. &. Rosebrough‚ R. W. (1985) Endo crine adaptations of periparturient swine to alteration of dietary Tollet‚ P.‚ Enberg‚ B. & Mode‚ A. (1990) Growth hormone

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