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GHW10

Course: MATH 115, Fall 2009
School: Arizona
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Business Mathematics I Homework 10 Prepared for Stephen Reyes Math 115a, Section University of Arizona By Team # Submitted on Date We, the undersigned, affirm that all of us participated fully and equally in the completion of this assignment and that the work contained herein is original. Furthermore, we understand that sanctions will be imposed individually as well as jointly if any part of this work is found to...

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Business Mathematics I Homework 10 Prepared for Stephen Reyes Math 115a, Section University of Arizona By Team # Submitted on Date We, the undersigned, affirm that all of us participated fully and equally in the completion of this assignment and that the work contained herein is original. Furthermore, we understand that sanctions will be imposed individually as well as jointly if any part of this work is found to violate the Student Code of Conduct, the Code of Academic Integrity, or the policies and procedures established for this course. ______________________________ ______________________________ Name (typed) ______________________________ ______________________________ Name (typed) ______________________________ ______________________________ Name (typed) ______________________________ ______________________________ Name (typed) Signature Signature Signature Signature ______________________________ ______________________________ Name (typed) Signature 1. (Exercise 1 from <a href="/keyword/monte-carlo-methods/" ><a href="/keyword/monte-carlo-method/" ><a href="/keyword/monte-carlo/" >monte carlo</a> method</a> s</a> ) Go to Excel and use RAND to create a column of 12 random numbers, between 0 and 1. Solution. 2. (Exercise 3 from <a href="/keyword/monte-carlo-methods/" ><a href="/keyword/monte-carlo-method/" ><a href="/keyword/monte-carlo/" >monte carlo</a> method</a> s</a> ) Add a column to the file If.xls that simulates 10 tosses of a coin that is loaded in such a way that you are three times as likely to get a tail as a head. Show the formula that you used in the column. Solution. 3. (Exercise 8 from <a href="/keyword/monte-carlo-methods/" ><a href="/keyword/monte-carlo-method/" ><a href="/keyword/monte-carlo/" >monte carlo</a> method</a> s</a> ) Recall the tractor company that we studied in Examples 2 and 4 of the section Bayes' Theorem in Project 1. All of their vehicles are produced on one of the three assembly lines, Red, White, or Blue. The Excel file Tractors.xls simulates the company's production of 10,000 tractors. Open that file and look at the formulas in Cells B14:D14 to see how RAND and IF functions are used in the simulation. (i) Modify Tractors.xls to reflect the company's production, assuming that 35% of the company's tractors are made on the Red line and 25% are made on the Blue line. (ii) Use the modified file to estimate the fraction of non-starting tractors that the company will produce. Solution. 4. (Exercise 12 from <a href="/keyword/monte-carlo-methods/" ><a href="/keyword/monte-carlo-method/" ><a href="/keyword/monte-carlo/" >monte carlo</a> method</a> s</a> ) Modify the Excel file Queuing Example 2.xls, so that it will create, and correctly plot, random samples of size 500 for an exponential random variable, X, with parameter = 10 . Solution. 5. (Exercise 15 from <a href="/keyword/monte-carlo-methods/" ><a href="/keyword/monte-carlo-method/" ><a href="/keyword/monte-carlo/" >monte carlo</a> method</a> s</a> ) Create new worksheets or modify the worksheets in Queue Focus.xls to accommodate the maximum number of arrivals that is indicated in your team assignment. Note that the allowable maximum number of arrivals in worksheets of Queue Focus.xls cannot be extended by simply dragging down existing rows. For example, the entries in Column L of 1 ATM depend on criteria ranges that contain two rows. After these cells are dragged down, they will need to be adjusted with individual typing. The necessary extensions of criteria ranges will also require careful thought. In addition, you will need to adjust the ranges of rows that are considered in all summary cells as well as the Overflow cutoffs. Solution. 6. (Exercise 16 from <a href="/keyword/monte-carlo-methods/" ><a href="/keyword/monte-carlo-method/" ><a href="/keyword/monte-carlo/" >monte carlo</a> method</a> s</a> ) Modify your team data worksheets so that all simulations ...

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Arizona - MATH - 115
Business Mathematics IHomework 3Prepared for Stephen Reyes Math 115a, Section University of Arizona By Name of student Submitted on Date I affirm that I completed this assignment in its entirety and that the work contained herein is original. Furt
Arizona - MATH - 115
Business Mathematics IHomework 5Prepared for Stephen Reyes Math 115a, Section University of Arizona By Name of student Submitted on Date I affirm that I completed this assignment in its entirety and that the work contained herein is original. Furt
Arizona - MATH - 115
Business Mathematics IHomework 6Prepared for Stephen Reyes Math 115a, Section University of Arizona By Name of student Submitted on Date I affirm that I completed this assignment in its entirety and that the work contained herein is original. Furt
Arizona - MATH - 115
Business Mathematics IHomework 8Prepared for Stephen Reyes Math 115a, Section University of Arizona By Name of student Submitted on Date I affirm that I completed this assignment in its entirety and that the work contained herein is original. Furt
Arizona - MATH - 115
Team 1st Boston Miami New Jersey New York Philadelphia Washington Atlanta Charlotte Chicago Cleveland Detroit Indiana Milwaukee Dallas Denver Houston Minnesota Orlando San Antonio Utah Golden State LA Clippers LA Lakers Phoenix Portland Sacramento Se
Arizona - MATH - 115
# of Y records # of successful Y records# of failed Y recordsP( S Y) |P( F| Y) # of T records# of successful T records# of failed T recordsP( S T) |P( F| T) # of C records # of successful C records# of failed C recordsP( S C)
Arizona - MATH - 115
Summation Notation Summation Notation Shorthand way of expressing a sum Uses the Greek letter sigma: ak =1nk= a1 + a2 + a3 + + ann is called the upper limit of the summation k is called the index of summation ak is the f
Arizona - MATH - 115
Section 8 P2 Tm # Student 1 Birgel, Nicholas Buffington, James Joseph, II Dickman, Bradley Alexander Greenwald, Justin Steel Randolph, Kyl Adam 2 Gallego, Jeff Christopher Johnson, Stephen Gregory Werlinger, Kayla Christine Wieczorek, Kaitlyn Marie W
Arizona - MATH - 115
Schedule Sheet Student Name:(Print Legibly)MATH 115a Section # :Directions: Please ll out the scheduling grid below as ACCURATELY as possible. Put an X over the times you are DEFINITELY UNAVAILABLE. If you are unavailable for part of an hour, pu
Arizona - MATH - 115
Business Mathematics IHomework 2Prepared for Name of instructor Math 115a, Section University of Arizona By Team # Submitted on Date We, the undersigned, affirm that all of us participated fully and equally in the completion of this assignment and
Arizona - MATH - 115
Math 115a ReyesPeer EvaluationNAME: _Team you are evaluating: _ Answer all questions and do so in complete thoughtful sentences. This form will be given to the team who gave the presentation. Excellent Preparedness and Organization Understandin
Arizona - MATH - 115
Math 115a ReyesPeer and Self EvaluationNAME: _THIS FORM MUST BE TYPED. Team Members (full names) 1. 2. 3. 4. Answer all questions and do so in complete thoughtful sentences. This form will be kept in strict confidence by your instructor and wil
Arizona - MATH - 115
Project 2 Quiz: Friday April 27th, 2007 Study Guide Format: This is a paper-and-pencil quiz. Any computer-related questions will have the relevant dialogue box for you to write in your answers by hand. The quiz consists entirely of short answer/show-
Arizona - MATH - 115
Business Mathematics I Project 1: Loan Workout Evaluation of Final Oral Report Team # _ Section #_ Preparedness: Team is present and has all necessary materials at the start of class. Presentation appears rehearsed and is within specified time limi
Arizona - MATH - 115
Business Mathematics I Project 2: ATMs &amp; QueuesEvaluation of Preliminary Oral Report Preparedness: Team is present and has all necessary materials at the start of class. Presentation appears rehearsed and is within specified time limits. _ / 2 _ /
Arizona - MATH - 115
Mean Max Wait Percent Wait Time Time Delayed 1 ATM 2 ATMs 3 ATMs 3 ATM Serp Your claims Min # ATMs requiredMean # in Max # in Percent Queue Queue Irritated
Arizona - MATH - 115
Business Mathematics IProject #? AssignmentPrepared for Name of instructor Math 115a, Section University of Arizona By Team # Submitted on Date We, the undersigned, affirm that all of us participated fully and equally in the completion of this ass
Arizona - MATH - 115
Navigating your MBD textbook - An Electronic Treasure Hunt*Team Members: START: Content Page. GO TO: About Mathematics for Business Decisions section. Instruction: Read pages 1 through 3. Task: How does MBD prepare you for your business career? *W
Arizona - MATH - 115
TEAM QUEUE DATASection: Team: 8 1Mean Wait Claim: The mean waiting time is at most 4.9 minute(s). Maximum Wait Claim: No one will wait more than 8.7 minutes. Percent Delayed Claim: At most 7.4% of the customers will be delayed Mean Queue Claim: Th
Arizona - MATH - 115
TEAM QUEUE DATASection: Team: 8 2Mean Wait Claim: The mean waiting time is at most 1.1 minute(s). Maximum Wait Claim: No one will wait more than 6 minutes. Percent Delayed Claim: At most 12.0% of the customers will be delayed Mean Queue Claim: The
Arizona - MATH - 115
TEAM QUEUE DATASection: Team: 8 4Mean Wait Claim: The mean waiting time is at most 2 minute(s). Maximum Wait Claim: No one will wait more than 4.7 minutes. Percent Delayed Claim: At most 5.0% of the customers will be delayed Mean Queue Claim: The
Arizona - MATH - 115
TEAM QUEUE DATASection: Team: 8 5Mean Wait Claim: The mean waiting time is at most 5 minute(s). Maximum Wait Claim: No one will wait more than 9.8 minutes. Percent Delayed Claim: At most 1.7% of the customers will be delayed Mean Queue Claim: The
Arizona - MATH - 115
TEAM QUEUE DATASection: Team: 10 3Mean Wait Claim: The mean waiting time is at most 1 minute(s). Maximum Wait Claim: No one will wait more than 7.8 minutes. Percent Delayed Claim: At most 2.4% of the customers will be delayed Mean Queue Claim: The
Arizona - MATH - 115
TEAM QUEUE DATASection: Team: 10 6Mean Wait Claim: The mean waiting time is at most 5.1 minute(s). Maximum Wait Claim: No one will wait more than 6 minutes. Percent Delayed Claim: At most 5.0% of the customers will be delayed Mean Queue Claim: The
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Review SessionJehan-Franois PrisAgendaStatistical Analysis of Outputs Operational Analysis Case Studies Linear RegressionHow to use this presentationMost problems have Oneslide stating the problem One slide explaining how to solve th
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AN INTRODUCTION TO STATISTICAL ANALYSIS OF SIMULATION OUTPUTS Sample Statistics If x1, x2, ., xn are n observations of the value of an unknown quantity X, they constitute a sample of size n for the population on which X is defined. S
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Project Name Company Name Presenter NameProject OverviewProject Goals Project Description Features &amp; Benefits Competitive Analysis06/08/09Applications Demonstration Packages Technology Key Learning Pointsdsthilaire@csupomona.eduThe Collins S
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Going over the Midterm exam.
Wisconsin - CS - 537
&lt;p&gt;If you get everything working and throughly tested early, you mightconsider adding extra-credit features.Some suggestions include&lt;ul&gt;&lt;li&gt;Maintain in memory a cache of available inodes, to avoid searching theon-disk ilist when allocating a ne
Columbia - ECON - 301
1Introduction: Demand and SupplyMicroeconomics study how individuals and companies interact. Two types of agents: Consumers: Individuals that demand goods/services - &quot;buyers&quot;. Producers: Companies that supply goods/services - &quot;sellers&quot; Market: A
Columbia - ECON - 301
14Consumer' Surplus sMotivation: We want a measure of how much a consumer is willing to pay for something. How much is he willing to sacri.ce of one thing to get something else. Consumer surplus: Measure of a consumer' valuation of a good given th
Columbia - ECON - 301
16EquilibriumEquilibrium: Demand = Supply.We have covered the demand. We need to model the supply side of the economy.16.1 SupplySupply curve: A number of individual producers of the good.Each producer has an individual supply curve: Measur
Columbia - ECON - 301
18TechnologyTheory of the Firm: Analysis of the supply side. How a .rm makes cost-minimizing production decisions. How a .rm' cost varies with its output. s In particular, this will give us the supply function of a given good.b Characterisation
Columbia - ECON - 301
22Firm SupplyA .rm faces three sorts of constraints when it supplies output: Technological: It is restricted by the technology when choosing its output level. Economic: Inputs used in the production are costly. Market: The demand for output is
Columbia - ECON - 301
27OligopolyOligopoly: A &quot;small&quot; number of .rms in the industry, each with a signi.cant market share. Duopoly: Simplest case - only two .rms. Strategic behaviour: In monopoly and perfect competition, each .rm acts independently of each other. Here:
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PHY 2048 - Physics for Engineers and Scientists I Spring 2006 Instructor: Dr. Jeffrey Bindell Schedule 2048 MWF, 10:30-11:20 AM Room 359 Phone 407-823-4194 E-mail: bindell@physics.ucf.edu Website: www.physics.ucf.edu/~bindell OFFICE HOURS: I am usual
UCF - PHYSICS - 2048
Notes on WebAssignPHY-2048/9 Physics for Scientists &amp; Engineers I/II J. B. Bindell You need to purchase a WebAssign login either from the bookstore or from the WebAssign website (with credit card). For your first contact with WebAssign, go to: htt
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Force and MotionFebruary 6, 2006What the heck is happening?This week Friday Quiz on chapter 5, through Wednesday's material.Force and Motion Chapter 5 This is a VERY IMPORTANT CHAPTERThinking About Motion What makes objects mov
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RECITATION CLASSES PHY2048 All classes are in the Math and Physics Building (MAP) Tuesday Tuesday Wednesday Thursday 11:30 2:30 3:30 11:30 108 108 121 108Classes are 50 minutes and attendance is voluntary. These classes should really be helpful fo
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Subject to much changeChapter 7Energy and Energy Transfer February 22, 2006 HAPPY BIRTHDAY GEORGE! Kalendar Today we start the new TOPIC OF ENERGY No Quiz on Friday, but there MAY be one on Monday The BAD NEWS:EXAM #2 will be