stock X1 numbers of pizza slices‚ X2 numbers of hot dogs and X2 numbers of sandwiches. Constraints: 1. On the oven space: Space available = 3 x 4 x 16 = 192 sq. feet = 192 x 12 x 12 =27648 sq. inches The oven will be refilled during half time. Thus total space available = 27648 x 2 = 55296 Space required for pizza = 14 x 14 = 196 sq. inches Space required for pizza slice = 196/ 8 = 24.5 sq. inches Total Space required: 24.5 X1 + 16 X2 + 25 X3 Constraint: 24.5 X1 + 16
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Ethical Practice in Nursing S.Z‚ a 65 year old Hispanic male‚ is being discharged from hospital after being admitted with a blood sugar of 589. He has been seeing a curandero to manage his diabetes mellitus type II‚ hyperlipidemia‚ and osteoarthritis. He has not taken his prescription medications for these chronic conditions‚ but instead takes traditional medicines the curandero tells him to take. His daughter approaches the nurse with her concerns over her father’s heath and asks the nurse if
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● DISCOVERY PROJECT Equations through the Ages 75 Inequalities 76 Coordinate Geometry 87 Graphing Calculators; Solving Equations and Inequalities Graphically 101 Lines 111 Modeling Variation 123 Chapter 1 Review 130 Chapter 1 Test 135 ■ FOCUS ON PROBLEM SOLVING General Principles 138 2 Functions ■ 146 2.1 2.2 Chapter Overview 147 What is a Function? 148 Graphs of Functions 158 ● DISCOVERY PROJECT Relations and Functions 171 vii viii Contents 2.3 2.4 2.5 2.6 2.7 2.8
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1. The sampling frequency of the following analog signal‚ s(t)=4 sin 150πt+2 cos 50πt should be‚ a) greater than 75Hz b) greater than 150Hz c) less than 150Hz d) greater than 50Hz 2. Which of the following signal is the example for deterministic signal? a) Step b) Ramp c) Exponential d) All of the above 3. For energy signals a) The energy will be finite and power will be infinite b) The energy will be finite and power will be zero c) The energy will be zero and power will be infinite d) Both energy
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Assignment #3 The following variables will be used: X1 = Slices of Pizza X2 = Hot Dogs X3 = BBQ Sandwiches The objective is to maximize profit. maximize Z= 0 .75X1+1.05X2+1.35X3 Subject to: 0.75X1+1.05X2+1.35X3≤1‚500(Budget) 24X1+16X2+25X3≤55‚296in2 (Oven space) X1≥X2+X3 X2X3≥2.0 X1‚ X2‚ X3≥0 Julia’s Food Booth Food items: Pizza Hot Dogs Barbecue Profit per item: 0.75 1.05 1.35 Constraints: Available Usage Left over Budget ($) 0.75 0.45 0.90 1‚500
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Homework Zero 0. What do you hope to achieve in this course? I have taken economics courses in the past‚ but was never strong with the math equations. I am excited to improve this weakness of mine. 1. What skills do you bring to the classroom? To your fellow students? Although I was an economics major in undergrad‚ I took many computer classes and as a result am very proficient with computers. I can use these skills when working with classmates as well. 2. How will your classmates
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All rights reserved Printed in the United States of America THIRD EDITION 0-393-96282-2 W. W. Norton & Company‚ Inc.‚ 500 Fifth Avenue‚ New York‚ N.Y. 10110 W. W. Norton Ltd.‚ 10 Coptic Street‚ London WC1A 1PU 234567890 ANSWERS Chapter 1. Technology 1.1 False. There are many counterexamples. Consider the technology generated by a production function f(x) = x2 . The production set is Y = {(y‚ −x) : y ≤ x2 } which is certainly not convex‚ but the input re√ quirement set is V (y) = {x
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hundreds. What is the nature of this remarkable tool‚ and what kinds of problems does it address? You will gain insight into this topic as you work through subsequent examples. However‚ a verbal summary may help provide perspective. Briefly‚ the most common type of application involves the general problem of allocating limited resources among competing activities in a best possible (i.e.‚ optimal) way. More precisely‚ this problem involves selecting the level of certain activities that compete for
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UNIVERSITY OF TORONTO Joseph L. Rotman School of Management RSM332 PROBLEM SET #2 SOLUTIONS 1. (a) Expected returns are: E[RA ] = 0.3 × 0.07 + 0.4 × 0.06 + 0.3 × (−0.08) = 0.021 = 2.1%‚ E[RB ] = 0.3 × 0.14 + 0.4 × (−0.04) + 0.3 × 0.08 = 0.05 = 5%. Variances are: 2 σA = 0.3 × (0.07)2 + 0.4 × (0.06)2 + 0.3 × (0.08)2 − (0.021)2 = 0.004389‚ 2 σB = 0.3 × (0.14)2 + 0.4 × (0.04)2 + 0.3 × (0.08)2 − (0.05)2 = 0.00594. Standard deviations are: √ 0.004389 = 6.625%‚ σA = √ 0.00594 =
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PAPER – 5 : ADVANCED MANAGEMENT ACCOUNTING QUESTIONS Marginal Costing Vs. Absorption Costing 1. During the current period‚ ABC Ltd sold 60‚000 units of product at Rs. 30 per unit. At the beginning for the period‚ there were 10‚000 units in inventory and ABC Ltd manufactured 50‚000 units during the period. The manufacturing costs and selling and administrative expenses were as follows: Total cost Rs. Beginning inventory: Direct materials Direct labour Variable factory overhead Fixed factory overhead
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