ESEE1101 QUANTITAVE ANALYSIS A GROUP ASSIGNMENT PRESENTATION (5%) & WRITTEN REPORT (10%) – WEEK 13 DUE WEEK 13 (21 Oct 2010) The assignment will earn you maximum of 15%. The assignment will require your group to submit a written report and do a presentation. You are given 2 case studies to be solved. Discuss in your group on how to solve all problems using the techniques you had learned in this course. THE WRITTEN REPORT The written report must contain all the information required. Each
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are modeled by functions. Precalculus is essentially the study of functions‚ with a few other related topics that supplement the study of functions and prepare students for calculus. In this text we’ll concern ourselves first with learning about general functions‚ and later with certain types of common functions with special properties‚ like polynomial‚ exponential‚ logarithmic‚ and trigonometric functions. First‚ it is of critical importance to understand exactly what a function is. In the following
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Recently‚ I bought a computer monitor. I bought it from Golden Computer Arcade which locates at Sham Shui Po. The brand of the monitor is SAMSUNG. It is having 19inchs length (almost 47cm). The model number is S19B300B. The reason of me to buy the LED monitor at Sham Shui Po is because the price there is cheaper. When I go to the price comparison website (www.price.com.hk). I found that the common price of the LED monitor is around $850 HKD. But I found that the same model of the LED monitor at the
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An analyst first must understand an organization’s business functions before he or she can begin developing information systems. The functional decomposition diagram (FDD) is a business planning tool that depicts the hierarchy of business functions‚ processes‚ and subprocesses within an organization that are later described in detail using process models (chapter 6). The exercise of breaking down‚ or decomposing‚ the business functions into processes makes complex systems much easier to understand
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(4ofAKind or FullHouse) and exclude community trips. Flushes and Straights are not taken into consideration. You can see that pocket pair hole cards have more than a 4x better chance of getting trips than non pocket pair hole cards. (C(n‚r) choose function) Pocket pair hole cards: 1 - [C(48‚5) / C(50‚5)] = 19.184% Non pocket pair hole cards: 1 - [(C(44‚5) + 6*C(44‚4) + 9*C(44‚3))/ C(50‚5)] = 4.675% The table below shows the trip draw probabilities while holding pocket pair hole
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[1 Mark] Q.2 Find the domain of the given functions [2 Marks] a) fx= x-7x2-16 b) fx= 1x2-9 Q.3 Based on a study in 1987‚ the percentage of the Russian population by age afflicted with radiations from sun is given by the function. P(x) = 0.0465x2+0.02227x+4.9623
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shortcuts‚ but is careful to explain common errors allowing students to anticipate and avoid them. Course Goals: In the end of the course the students will be able to: Manipulate algebraic expression involving algebraic function‚ Solve inequalities involving rational functions including such
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Introduction to Formal Methods Chapter 04: CTL Model Checking Roberto Sebastiani DISI‚ Università di Trento‚ Italy – rseba@disi.unitn.it URL: http://disi.unitn.it/~rseba/DIDATTICA/fm2012/ teaching assistant: Silvia Tomasi – silvia.tomasi@disi.unitn.it CDLM in Informatica‚ academic year 2011-2012 last update: April 26‚ 2012 Copyright notice: some material (text‚ figures) displayed in these slides is courtesy of M. Benerecetti‚ A. Cimatti‚ P. Pandya‚ M. Pistore‚ M. Roveri‚ and S.Tonetta‚ who detain
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performances. Forecast The general process of changing values in cells to see the effect on formulas in other cells. What-if analysis A function that adds values in a specified range that meet certain conditions or criteria. SUMIF A function that is contained inside another function. Nested function Score: 15 2) If data is listed in rows but you need to work with it in columns‚ you can use the Paste option: (1 point) Paste Values
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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . functions in the package dlnm The function onebasis() . . . . . The function crossbasis() . . . . The function crosspred() . . . . . The function crossreduce() . . . Plotting functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
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