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### Chapter16

Course: ECONOMIC 102, Spring 2012
School: College of the Siskiyous
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Word Count: 2531

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for Statistics Managers Using Microsoft Excel 5th Edition Chapter 16 Time-Series Forecasting and Index Numbers Statistics for Managers Using Microsoft Excel, 5e 2008 Prentice-Hall, Inc. Chap 16-1 Learning Objectives In this chapter, you learn: About seven different time-series forecasting models: moving averages, exponential smoothing, the linear trend, the quadratic trend, the exponential trend, the...

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College of the Siskiyous - ECONOMIC - 102
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Management, 6eSchermerhornPrepared byCheryl WyrickCalifornia State Polytechnic University PomonaJohn Wiley &amp; Sons, IncCOPYRIGHTCopyright 1999 John Wiley &amp; Sons, Inc. All rights reserved.Reproduction or translation of this work beyond that named in
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Management, 6eSchermerhornPrepared byCheryl WyrickCalifornia State Polytechnic University PomonaJohn Wiley &amp; Sons, IncCOPYRIGHTCopyright 1999 John Wiley &amp; Sons, Inc. All rights reserved.Reproduction or translation of this work beyond that named in
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Management, 6eSchermerhornPrepared byCheryl WyrickCalifornia State Polytechnic University PomonaJohn Wiley &amp; Sons, IncCOPYRIGHTCopyright 1999 John Wiley &amp; Sons, Inc. All rights reserved.Reproduction or translation of this work beyond that named in
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Management, 6eSchermerhornPrepared byCheryl WyrickCalifornia State Polytechnic University PomonaJohn Wiley &amp; Sons, IncCOPYRIGHTCopyright 1999 John Wiley &amp; Sons, Inc. All rights reserved.Reproduction or translation of this work beyond that named in
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Management, 6eSchermerhornPrepared byCheryl WyrickCalifornia State Polytechnic University PomonaJohn Wiley &amp; Sons, IncCOPYRIGHTCopyright 1999 John Wiley &amp; Sons, Inc. All rights reserved.Reproduction or translation of this work beyond that named in
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Compare or contrast two cars of your choice.ENG 101English CompositionYeong Pui YanSCSJ-0007017Lecturer: Ms.ShiqinDate: 20 September 2011Fall SemesterBrand Perodua is Malaysias second large car manufacturer after Proton. Its carsare very popular
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clear all; clf;pause on; hold on;R=1*exp(j*30*pi/180); %Phasorf=1; T=1/f ; %Frequency of sinusoid phasork=[0:0.01:2*pi]; plot(cos(k),sin(k),'k'); grid; %Plot unit circlestep=T/100; %Step intervalfor n=1:101 t(n)=n*step; R=R*exp(j*2*pi*f*step); %A
CSU Long Beach - CECS - 463
lear all; clf;pause on; hold on;fprintf('START\n');R=1*exp(j*30*pi/180); %Phasorfigure(1);for m=50:-5:5k=[0:0.01:2*pi]; plot(cos(k),sin(k),'k'); %Plot unit circle f=1; w=2*pi*f; T=1/f ; %Frequency of sinusoid phasorR=1*exp(j*30*pi/180); %Phasor p
CSU Long Beach - CECS - 463
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CSU Long Beach - CECS - 463
The Discrete FourierTransformPeriodically SampledSignalsThe DFTThe DFT:N 1X (m) = x(n) e j wN n m for m = 0,1,.N 1n =0where wN = 2/NSample vector x has length NSequence x(n) is periodic of period N sothat sampled signal x(nkN) = x(n) for anyk
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CECS 429/529 Practice Final Exam, Fall 2010, Dr. Ebert1. When intersecting the postings lists of more than two terms, a common heuristic is to select thelists to intersect in terms of increasing size. For example, for three terms whose list sizes are 20
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CSU Long Beach - CECS - 529
CECS 429/529 Quiz 3, Fall 2010, Dr. EbertDirections. Complete this quiz in one sitting, and in time not exceeding one hour. You may useyour textbook and class notes, but no other resources. You are not allowed to communicate withanyone except the instr
CSU Long Beach - CECS - 529
CECS 429/529 Quiz 4, Fall 2010, Dr. Ebert1. For the twelve-balls puzzle, how much information, in bits, is gained in the worst case whenbalancing six balls (three on each side) for the rst balancing? Explain and show work. Assume thatthe uncertainty li
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CECS 429/529 Quiz 6, Fall 2010, Dr. Ebert1. Let t be a term in a document collection of size N . Give the denitions for dft , and idft . (10points)2. Let V (d) denote the vector associated with document d in the vector-space model for documents.What i
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CECS 429/529 Quiz 7, Fall 2010, Dr. Ebert1. For a collection of 100 documents, 20 results for a query were returned, and yielded precisionP = 0.2, and recall R = 0.1. Compute the number of true positives, false positives, true negatives,and false negat
CSU Long Beach - CECS - 529
IntroductionIntroduction to Information RetrievalIntroduction toInformation RetrievalCS276Information Retrieval and Web SearchChristopher Manning and PrabhakarRaghavanLecture 1: Boolean retrievalIntroductionIntroduction to Information Retrieval
CSU Long Beach - CECS - 529
IntroductionIntroduction to Information RetrievalIntroduction toInformation RetrievalCS276: Information Retrieval and WebSearchChristopher Manning and PrabhakarRaghavanLecture 2: The term vocabulary andIntroductionIntroduction to Information Ret