...Problem Set I Stephen Collum ACC 300 6/17/2013 Paulette Mack P1-3A On June 1, Beardsley Service Co. was started with an initial investment in the company of $22,100 cash. Here are the assets and liabilities of the company at June 30, and the revenues and expenses for the month of June, its first month of operations: |Cash |$ 4,600 |Notes payable |$12,000 | |Accounts receivable |4,000 |Accounts payable |500 | |Service revenue |7,500 |Supplies expense |1,000 | |Supplies |2,400 |Maintenance and repairs expense |600 | |Advertising expense |400 |Utilities expense |300 | |Equipment |26,000 |Salaries and wages expense |1,400 | In June, the company issued no additional stock, but paid dividends of $1,400. Instructions 1. Prepare an income statement and a retained earnings statement for the month of June and a balance sheet at June 30, 2012. 2. Briefly discuss whether the company’s first month of operations was a success. | |Net...
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...Problem Set#1 Answers University Of Phoenix Chapter 1 No.10 a) Nominal – closing stock prizes given for the most researched stocks on March 3, 2008 in Forbes TMA $4.32 UTX $69.40 DBD $38.84 b) Ordinal - (Data taken from Forbes March 3, 2008) List of US cities in order as best places to get ahead are Stafford County, outside Washington, D.C., Forsyth County, outside of Atlanta; or Delaware County, outside Columbus, Ohio c) Interval - Temperature forecasted for Mechanicsville, VA at different hours from Richmond Dispatch Newspaper At 8.pm 60F, At 9.00PM 59F, At 10.00PM 57Ffr d) Ratio Level – Stock market data for IBM with variations from Forbes, March 3, 2008 Stock prize is $114. Change is +.37 with .32% No.16 a. Quantitative variables are selling price, No of bedrooms, and distance from the centre of the city. Township is qualitative b. Selling price –ratio No of bedrooms – Ordinal Township – Nominal Distance from the center of city - Ratio Chapter 2 No.26 a) 2k > no of observations 26 = 48 > 45 We recommend 6 classes b) Class interval ≥ (H – L)/K (570 – 41)/6 = 88. 16 We are selecting...
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... Preface Although this may seem a paradox, all exact science is dominated by the idea of approximation. Bertrand Russell (1872–1970) Most natural optimization problems, including those arising in important application areas, are NP-hard. Therefore, under the widely believed conjecture that P = NP, their exact solution is prohibitively time consuming. Charting the landscape of approximability of these problems, via polynomial time algorithms, therefore becomes a compelling subject of scientific inquiry in computer science and mathematics. This book presents the theory of approximation algorithms as it stands today. It is reasonable to expect the picture to change with time. The book is divided into three parts. In Part I we cover a combinatorial algorithms for a number of important problems, using a wide variety of algorithm design techniques. The latter may give Part I a non-cohesive appearance. However, this is to be expected – nature is very rich, and we cannot expect a few tricks to help solve the diverse collection of NP-hard problems. Indeed, in this part, we have purposely refrained from tightly categorizing algorithmic techniques so as not to trivialize matters. Instead, we have attempted to capture, as accurately as possible, the individual character of each problem, and point out connections between problems and algorithms for solving them. In Part II, we present linear programming based algorithms. These are categorized under two fundamental techniques: rounding and...
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...A hybird / digital software package for the solution of chemical kinetic parameter identification problems by ALAN M. CARLSON Electronic Associates, Inc. Princeton, New Jersey INTRODUCTION The modern hybrid computer offers many significant improvements over first generation hybrid systems These improvements include: 1. The increased speed of digital computers en- abling programs to be written in hybrid FORTRAN without drastically limiting hybrid solution rates. 2. The development of analog/hybrid software (e.g., hybrid simulation languages and analog set-up programs). The net result of these improvements has been an increase in the SCope and complexity of hybrid applications and a reduction in the effort required to program and debug hybrid problems. Unfortunately, the dev'elopment of hybrid applications software has not kept pace with recent hybrid improvements. Applications software for purposes of this discussion is defined as an integrated set of digital/hybrid programs capable of solving the majority of frequently occurring problems in a specific applications area. Based on this definition, little or no tangible information is currently available on the practicality of developing hybrid software packages although its benefits are obvious. In mid-1968, EAT's Princeton Computation Center initiated a development project to· determine the feasibility of hybrid applications software. The objectives of the project were to select a frequently occurring 733 application...
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...University of Lethbridge – Faculty of Management MANAGEMENT 3100 Intermediate Financial Accounting I Course Outline – Fall 2014 Instructor: Carla Carnaghan, Ph.D., CISA, CMA Office & Hours: Calgary Campus office, 5:00 – 6:00pm Thursdays. Please email for appointment, and for alternative times. Office hours may be done in person, with Webex, or by phone, and for smaller issues with email. E-mail: Carla.Carnaghan@uleth.ca (emails received in the evening, particularly after 10 PM, may not be responded to until the next day) Telephone: 1- 403-329-2351 (Lethbridge office – Please use e-mail where possible) Class Times: Y Section: Th 1800-2050 (S6013A) Course Web Page: on Moodle Course Pre-requisites* Prerequisites: MGT 2400; ECON 1010 and 1012 and STAT 1770 or admission to the CA Bridging Program/Professional Diploma in Accounting; a minimum C- grade is required in all prerequisite courses; MGT 3040 (co-requisite) * It is the responsibility of students to check the prerequisites for courses before registration. If students are registered in a course for which they do not have the prerequisites, and they have not received prior permission from the appropriate program chair, they can be de-registered. If this occurs after the drop/add date, tuition will not be refunded. Course Objectives Building from MGT 2100, this course examines the accounting concepts, principles, judgments, and techniques used...
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...ones place instead of the number in the tens place. For him, I would recommend that his teacher work with him on identifying numbers in the ones and tens place, and showing him step by step how to carry the tens place over instead of carrying the ones place over. For him I would also recommend using problems that are adding two two-digit numbers that require regrouping from the ones place to the tens place. For Moniqua, her error is that she is not regrouping at all in the ones place. When she is adding the ones place numbers together she is not carrying over the tens place but instead writing the entire number in the answer. For her, I would recommend that the teacher work with her on regrouping, and carrying the tens place over. For her I would also recommend using problems that are adding two two-digit numbers that require regrouping from the ones place to the tens place. For Pablo, his error was being unable to recognize the addition sign and subtraction sign. For him, I would recommend that the teacher work with him on identifying the signs before working out the problem. With Pablo, however, since he was shown to have no errors on the other problems, it should be able to be fixed in a quick mini-lesson. 6....
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...CAPITAL BUDGETING PROBLEMS: CHAPTER 10 Answers to Warm-Up Exercises E10-1. Answer: Payback period The payback period for Project Hydrogen is 4.29 years. The payback period for Project Helium is 5.75 years. Both projects are acceptable because their payback periods are less than Elysian Fields’ maximum payback period criterion of 6 years. NPV E10-2. Answer: Year 1 2 3 4 5 Cash Inflow $400,000 375,000 300,000 350,000 200,000 Total $1,389,677.35 Present Value $ 377,358.49 333,748.67 251,885.78 277,232.78 149,451.63 $1,389,677.35 NPV $1,250,000 $139,677.35 Herky Foods should acquire the new wrapping machine. CAPITAL BUDGETING PROBLEMS: CHAPTER 10 E10-3: Answer: NPV comparison of two projects Project Kelvin Present value of expenses Present value of cash inflows PV) NPV –$45,000 51,542 (PMT $20,000, N $ 6,542 3, I 8, Solve for Project Thompson Present value of expenses $275,000 Present value of cash inflows 277,373 (PMT $60,000, N 6, I 8, Solve for PV) NPV $ 2,373 Based on NPV analysis, Axis Corporation should choose an overhaul of the existing system. E10-4: Answer: IRR You may use a financial calculator to determine the IRR of each project. Choose the project with the higher IRR. Project T-Shirt PV 15,000, N Solve for I IRR 39.08% 4, PMT 8,000 Project Board Shorts PV 25,000, N 5, PMT 12,000 Solve for I IRR 38.62% Based on IRR analysis, Billabong Tech should choose project T-Shirt. E10-5: Answer: NPV Note: The IRR for Project Terra...
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...development Responsibilities of an individual within an action learning set are explained How group dynamics in action learning can enhance leadership development is explained Action learning as a leadership development technique and its role in own leadership development is evaluated Be able to plan and undertake activities to develop own leadership performance Appropriate activities and sources of help and support to develop own leadership capacity are identified and selected Activities to develop own leadership capacity are planned Planned activities to improve own leadership performance are undertaken and judgments made about their effectiveness Be able to use action learning for leadership development Responsibilities of an individual within an action learning set are explained Committing regular time Learning to listen Learning to ask helpful questions Not giving advice Giving individual airtime Following the Action Learning Cycle taking action between meetings and learning from the action Action learning in its simplest form is understood to be an experience-based approach to learning that utilises Revans' view that managers learn most effectively with, and from other managers, whilst dealing with the real world complexity of organisational life. The process of action learning revolves around the group or ‘set’ of six to eight people working together to solve individual problems. Revans referred to these individuals as ‘comrades in adversity’ (1982)...
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...permissions@pupress.princeton.edu Lecture Notes in Microeconomic Theory Ariel Rubinstein Updates to the Printed Version The file you are viewing contains the printed version of the book. In relevant places throughout the text you will find small icons indicating the existence of updates to the text: A red icon indicates there is a correction for a mistake on this line. A green icon indicates an addition to the text at this point. The corrected and added text can be obtained from the author's homepage at http://arielrubinstein.tau.ac.il/ . October 21, 2005 12:18 master Sheet number 1 Page number 1 October 21, 2005 12:18 master Sheet number 2 Page number 2 October 21, 2005 12:18 master Sheet number 3 Page number i Lecture Notes in Microeconomic Theory October 21, 2005 12:18 master Sheet number 4 Page number ii October 21, 2005 12:18 master Sheet number 5 Page number iii Lecture Notes in Microeconomic Theory The Economic Agent Ariel Rubinstein PRINCETON UNIVERSITY PRESS PRINCETON AND OXFORD October 21, 2005 12:18 master Sheet number 6 Page number iv Copyright © 2006 by Princeton University Press. Requests for permission to reproduce material from this work should be sent to...
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...this course. Use this data to answer the following questions: Let’s practice with something I know you care about: grades. The grade determination policy for this class is is follows: Midterm | 20% | Final | 20% | Problem Sets | 20% | Project/Paper | 20% | Quizzes | 15% | Discussions | 5% | Sally’s grades are as follows: | Points possible | Sally's grade | Quiz 1 | 9 | 7 | Quiz 2 | 13 | 13 | Problem Set 1 | 75 | 68 | Quiz 3 | 12 | 11 | Quiz 4 | 8 | 8 | Problem set 2 | 88 | 85 | Midterm | 100 | 97 | Directions: ***Do not be tempted to “cheat” and do this by hand- the point of this exercise is to practice Excel*** 1. Copy and paste both tables into Excel. 2. Use the AutoSum function to insure that the data uploaded properly (you know that the grading break down must add to 100% so make sure it does) 3. Use the Sort function to sort the grade data into groups 4. Create a formula to calculate Sally’s percentage on each assignment. DO NOT TYPE THE NUMBERS IN ON THE FORMULA LINE; USE THE CELLS THAT CONTAIN THE DATA.***note you only need to create this formula once then copy it to the remaining assignments 5. Calculate the average quiz and problem set grades using the Average function 6. Create a formula to calculate Sally’s current grade based on the course work complete this far. Assume that there are 8 quizzes and 4 problem sets during the semester. DO NOT TYPE THE NUMBERS IN ON THE FORMULA LINE; USE THE CELLS THAT CONTAIN...
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...Exercise 4.1, problem 5a for i := 1 to 123 do for j := 1 to i do print i * j a) How many times is the print statement of the third line executed? Since we have to count iterations starting from one until 123, the first count would be 1 then 3 then 6 and so forth. The segment can be translated to (n)(n+1)/2 where 123 would be (n). (123)(123 + 1)/2 The statement is executed 7626 times. Exercise 4.2, problem 18a a) How many permutations of 1, 2, 3 have k ascents, for k = 0, 1, 2? Ascent can be determined by simply looking at its numbers. In the case of 123, 3 > 2 and 2 >1 so there are 2 ascents. 123 = 2 321 = 0 231 = 1 213 = 1 132 = 1 312 = 1 k = 0 1 k = 1 4 k = 2 1 Exercise 4.3, problem 22a Solve each problem (if possible), and then convert the results to base 10 to check your answers. Watch for any overflow errors. 8 4 2 1 0101 5 + 0001 1 0110 6 Exercise 4.4, problem 1a 1. For each of the following pairs a, b ∈ Z+, determine gcd (a, b) and express it as a linear combination of a, b. a) 231, 1820 1820 = 7 (231) + 203 0 < 203 < 231 231 = 1 (203) + 28 0 < 203 < 28 203 = 7 (28) + 7 0 < 28 < 7 28 = 4 (7) + 0 7 gcd(1820, 231) = 7 7 = 203 – 7 (28) 203 – 7 (231 – 203) 8 (203) – 7 (231) 8 (1820 – 7 (231)) – 7(231) 8 (1820) – 63 (231) Exercise 5.1, problem 4 For which sets A, B is it true that A X B = B...
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...Science and Technology, United Arab Emirates naldhaheri@masdar.ac.ae; adiabat@masdar.ac.ae Abstract - In this paper, a novel formulation for the capacitated warehouse inventory-location model with risk pooling for multiple products is proposed. A single plant ships different types of products to retailers via a network of warehouses. The locations and inventory policies of the warehouses are chosen so as to minimize the sum of fixed facility location, transportation, and inventory carrying costs. The warehouses retain safety stock so as to maintain appropriate service levels in the face of uncertain demand at the retailers for multiple products. Keywords - integer programming, location-inventory, multiple products, supply chain optimization I. INTRODUCTION Supply Chain Management spans all movement and storage of raw materials, work-in-process inventory, and finished goods from point of origin to point of consumption [1]. It involves decisions on facility location, technology selection, inventory management, and distribution. These decisions can be categorized into three different levels: strategic, tactical, and operational. Particularly in today’s competitive business environment, the importance of integrating these decisions so as to minimize costs and maximize customer satisfaction cannot be underestimated. Much of the research literature treats the different decision levels separately; few papers deal with optimizing jointly over both the tactical and operational levels, and...
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...soap company currently has 4 plants and 10 warehouses in its distribution network. In response to forecasted demands in 5 years, Usemore is considering building 2 new plants and 6 new warehouses. The problem is modeled as a linear program with objective to minimize cost. However, the model must be formulated as piecewise linear in order to account for the non-linear warehousing costs. The recommended course of action for Usemore is to build 1 new plant, shut down 5 of the existing public warehouses, and open 5 of the new warehouses. Table of Contents Abstract ii 1. Introduction 1 2. Current Situation 2 2.1 Problem Statement 2 2.2 Problem Data 2 3. Proposed Model 2 3.1 Explanation 2 3.2 Formulation 2 4. Solution 4 4.1 Plants 4 4.2 Warehouses 4 4.3 Average Inbound and Outbound Distances 5 5. Discussion 5 6. Conclusion 5 7. Bibliography 5 1. Introduction The Usemore soap company currently has 4 plants and 10 warehouses within its distribution network. In response to forecasted demands in 5 years, Usemore is considering building 2 new plants and 6 new warehouses. The problem was solved using a linear programming approach utilizing a GLPK (GNU MathProg) formulation. In addition to this report, the following files were required to solve the problem: * Usemore.mod : GLPK model * Plants.csv : Model plants data in CSV format * Potential_plants.csv: Model potential plants data in CSV format * Warehouses.csv: Model warehouses plants...
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...Quantitative Association Rule Mining Using Information-Theoretic Approach Mary Minge University of Computer Studies, Lashio dimennyaung@gmail.com Abstract Quantitative Association Rule (QAR) mining has been recognized an influential research problem due to the popularity of quantitative databases and the usefulness of association rules in real life. Unlike Boolean Association Rules (BARs), which only consider boolean attributes, QARs consist of quantitative attributes which contain much richer information than the boolean attributes. To develop a data mining system for huge database composed of numerical and categorical attributes, there exists necessary process to decide valid quantization of the numerical attributes. One of the main problems is to obtain interesting rules from continuous numeric attributes. In this paper, the Mutual Information between the attributes in a quantitative database is described and normalization on the Mutual Information to make it applicable in the context of QAR mining is devised. It deals with the problem of discretizing continuous data in order to discover a number of high confident association rules, which cover a high percentage of examples in the data set. Then a Mutual Information graph (MI graph), whose edges are attribute pairs that have normalized Mutual Information no less than a predefined information threshold is constructed. The cliques in the MI graph represent a majority of the frequent itemsets. Keywords: Quantitative...
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...------------------------------------------------- Professional Development for Strategic Managers ------------------------------------------------- ------------------------------------------------- Edexcel BTEC Level 7 ------------------------------------------------- SEMESTER 1 ------------------------------------------------- ------------------------------------------------- ------------------------------------------------- ------------------------------------------------- Submission Date – June 10 2013 ------------------------------------------------- ------------------------------------------------- ------------------------------------------------- ------------------------------------------------- ------------------------------------------------- Saurabh Menon ------------------------------------------------- ST 46058 ------------------------------------------------- ------------------------------------------------- CONTENTS ------------------------------------------------- Page Contents ------------------------------------------------- 3 Introduction ------------------------------------------------- 3 Learning Outcome 1.1 ------------------------------------------------- 4 Learning Outcome 1.2 ------------------------------------------------- 5 Learning Outcome 2.1 ------------------------------------------------- 7 Learning Outcome 2.2 ------------------------------------------------- ...
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