[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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Construct a scatter diagram showing the ln(hours) against the ln(unit numbers). Comment on whether the relationship between ln(hours) and ln(unit numbers) is linear or non-linear. c. Using the linear regression method to derive the learning curve function (Please show your work by using the formulas in Lesson 02). What is the rate of learning (or learning curve percentage)? d. Based on the learning curve obtained from part c‚ estimate the time that would take you to produce the 150th unit? 2
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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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MANAGEMENT RESEARCH PROJECT INTERIM REPORT ON Analyze Big Bazaar’s customer queues at cash counter and reducing customer waiting time by proposing the optimum number of cash counter. Submitted By: Ravi Kumar Mishra Enroll no: 07BS3347 Batch: (2007-09) ICFAI BUSINESS SCHOOL‚ LUCKNOW
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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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Competencies | Teaching Strategy | Values | List of Activities | Materials | Evaluation | References | First Quarter | -Define functions and give examples that depict functions-Differentiate a function and a relation-Express functional relationship in terms of symbols y=f(x)-Evaluate a function using the value of x. | Chapter 1Functions and GraphsFunctions and Function Notations | The equation y=f(x) is commonly used to denote functional relationship between two variables x and y. | DefiningDifferentiatingEvaluating
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Given the function Find i) ii) iii) iv) Domain . 2. Determine the domain for the following functions: 3. Mega Company plans to market a new product for RM18.50 per unit. The variable cost is RM14 per unit and the fixed cost is RM2200. Assuming is the quantity of the product: i) ii) iii) 4. Find the total cost function‚ . Find the profit function‚ . Determine whether the company will gain profit or loss if 500 units are sold. Given the quadratic function i) ii)
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Question 4c By introducing an additional pole 1/(s+alpha) to the system‚ The original transfer function G(s) has a DC gain of 1 and the additional pole has a DC gain of 1/alpha. Therefore‚ the new transfer function G1(s) has a DC gain of 1/alpha The DC gain of the new transfer function = 1/alpha . DC gain Is obtained by applying the final value theorem where limit of s goes to 0. Final value theorem can be applied as it is a stable system. Therefore the system has a larger DC gain when alpha
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for k steps ahead will be denoted by Xnk. For a univariate forecast this depends only on Xn‚ Xn-1‚…… In simple exponential smoothing‚ the one-step-ahead predictor can be written in the recurrence form Xt(1)= Lt+ Tt+ It-p+1 Where the smoothing parameter‚ α‚ is usually constrained so that 0 < α <1. The Holt-Winters method (sometimes called the Winters method or seasonal exponential smoothing) generalizes this approach to deal with trend and seasonality. Let α‚ γ‚ δ denote three smoothing parameters
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