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1. HW: On the average, hotel guests who take elevators weigh about 150 pounds with an SD of about 35 pounds. An engineer is designing a large elevator for a convention hotel, to lift 50 such people. If she designs it to lift 4 tons, the chance that it will be overloaded by a random group of 50 people is about ________________. 2. A university has 25,000 students, of whom 17,000 are undergraduates. The housing office takes a simple random sample of 500 students; 357 out of the 500 are undergraduates. Fill in the blanks. a) For the number of undergraduates in the sample, the observed value is _______ but the expected value is ____________. b) For the percentage of undergraduates in the sample, the observed value is ________ but the expected value is _______________. 3. The Residential Energy Consumption Survey found in 2001 that 47% of American households had internet access. A market survey organization repeated this study in a certain town with 25,000 households, using a simple random sample of 500 households: 239 of the sample households had internet access. a) The percentage of households in the town with internet access is estimated as ________; this estimate is likely to be off by __________ or so. b) If possible, find a 95%confidence interval for the percentage of all 25,000 households with internet access. If this is not possible, explain why not. 4. Of the 500 sample households in the previous exercise, 7 had three or more largescreen TVs. a) The percentage of households in the town with three or more TVs largescreen is estimated as _____________; this estimate is likely to be off by ____________ or so. b) If possible, find a 95%confidence interval for the percentage of all 25,000 households with three or more largescreen TVs. If this is not possible, explain why not. 5. A box of tickets averages out to 75, and the SD is 10. One hundred draws are made at random with replacement from this box. a) Find the chance that the average of the draws will be in the range 65 to 85. b) Repeat, for the range 74 to 76. 6. A university has 30,000 registered students. As part of a survey, 900 of these students are chosen at random. The average age of the sample students turns out to be 22.3 years, and the SD is 4.5 years.
a) The average age of all 30,000 students is estimated as ________. This estimate is likely to be off by __________ or so. b) Find a 955confidence interval for the average age of all 30,000 re...

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North Texas - NB - 0042

HW # 1 Due: Jan 29, Wednesday 1. Workbook Chapter 3 Exercise #2 2. Workbook Chapter 3 Exercise #3 3. Workbook Chapter 3 Exercise #4 4. Workbook Chapter 3 Exercise #7 5. Workbook Chapter 3 Exercise #8 6. Workbook Chapter 3 Exercise #9 7. The age distr

North Texas - NB - 0042

HW # 1 Due: Jan 29, Wednesday 1. Workbook Chapter 3 Exercise #2 2. Workbook Chapter 3 Exercise #3 3. Workbook Chapter 3 Exercise #4 4. Workbook Chapter 3 Exercise #7 5. Workbook Chapter 3 Exercise #8 6. Workbook Chapter 3 Exercise #9 7.

North Texas - NB - 0042

HW # 1 Due: Jan 28, Wednesday 1. Workbook Chapter 3 Exercise #2 2. Workbook Chapter 3 Exercise #3 3. Workbook Chapter 3 Exercise #4 4. Workbook Chapter 3 Exercise #7 5. Workbook Chapter 3 Exercise #8 6. Workbook Chapter 3 Exercise #9 7. The age distr

North Texas - NB - 0042

HW # 1 Due: Jan 28, Wednesday 1. Workbook Chapter 3 Exercise #2 2. Workbook Chapter 3 Exercise #3 3. Workbook Chapter 3 Exercise #4 4. Workbook Chapter 3 Exercise #7 5. Workbook Chapter 3 Exercise #8 6. Workbook Chapter 3 Exercise #9 7. T

North Texas - NB - 0042

HW #3 1. #14, 68 and 10 from Chapter 5 Exercise, Math 1680 Workbook. 2. The following list of test scores has an average 50 and SD of 10: 39, 41, 47, 58, 65, 37, 37, 49, 56, 59, 62, 36, 48, 52, 64, 29, 44, 47, 49, 52, 53, 54, 72, 50, 50 a) Use the

North Texas - NB - 0042

HW #2 1. #1 5 from Math 1680 Workbook Chapter 4 Exercise. 2. Find the average and RMS size of the numbers on the following lists: a) 1, -3, 5, -6, 3 b) -11, 8, -9, -3, 15 c) 0, 5, -8, 7, -3 3. Find the SD for the following list of numbers: 1, 2, 3,

North Texas - NB - 0042

HW #4 1. # 6 10 from Chapter 8 Exercise, Math 1680 Workbook. 2. For the following data sets calculate correlation coefficient (r) and plot scatter diagram: X y 1 2 2 1 3 4 4 3 5 7 6 5 7 63. For the following data sets calculate correlation coeffi

FIU - INDEX - 3123

Comparing Two Population Means (matched pairs and independent samples)1. The personnel manager of a large retail clothing store suspects a difference in the mean amount of break time taken byworkers during the weekday shifts compared to that of the

FIU - INDEX - 3123

Anova Examples1) A study of depression and exercise was conducted. Three groups were used: those in a designed exercise program; a group that is sedentary; and a group of runners. A depression rating was given to members in each group. Small random

FIU - INDEX - 3123

ANOVA Section 10.1 The response variable or dependent variable is the variable of interest to be measured. Factors are those variables whose effect on the response is of interest to the experimenter. Quantitative Factors are measured on a numerical s

FIU - INDEX - 3123

Randomized Block DesignExercise 10.65 p. 558Analysis of Variance Source group week Error Total 4 5 20 29 DF SS 1185.00 386.40 148.60 1720.00 MS F P(10.67 p. 524 11 ed.)296.25 39.87 0.000 77.28 10.40 0.000 7.4Exercise 10.67 on p. 559Analysis

FIU - INDEX - 3123

REVIEWTest 2STA - 3123I. A researcher wants to determine whether the primary language spoken at home affects a child's reading level at the end of first grade. She randomly selected 10 children from English speaking homes, 10 from Spanish speak

FIU - INDEX - 3123

CHAPTER 11 Simple Linear Regression EXAMPLEAn experiment involving five subjects is conducted to determine the relationship between the percentage of a certain drug in the bloodstream and the length of time it takes the subject to react to a stimul

FIU - INDEX - 3123

Example: Suppose we want to find the relationship between the show sizes of women and their height. We randomly selected 5 women and recorded their shoe sizes and heights. Shoe Size Height in. 5 59 6.5 7 7.5 9 62 62 63 70Scatterplot Height VS Shoe

FIU - INDEX - 3123

Exercise 14.30(10-ed Ex.14.26) Ha: The distributions of daily accumulated stream flow andprecipitation for the two stations differ.12or21Ha:The distributions of daily accumulated stream precipitation for the two stations do not differ.

FIU - INDEX - 3123

Section 14.3 Comparing Two Populations: Independent Samples Compare the two independent populations Nonparametric test: Wilcoxon Rank Sum Test. Hypothesis Ho: D1 and D2 are identical Ha: D1 is shift either to the left or right of D2 Ho: D1 and D2 are

FIU - INDEX - 3123

Review for Test 4STA 3123I. The annual percentage turnover rates for five U.S. and five Japanese plants are shown in the table. U.S. Plants 7.11% 6.06% 8.00% 6.87% 4.77% Japanese Plants 3.52% 2.02% 4.91% 3.22% 1.92%What nonparametric compariso

FIU - INDEX - 3123

Problem 1 (right tail test)I.-U.S. Plants 7.11% 6.06% 8.00% 6.87% 4.77%8 6 9 7 4Japanese Plants 3.52% 2.02% 4.91% 3.22%3 1 5 2n1 = 5 n2 = 4 n=9 = 0.05Nonparametric Test: Wilcoxon Rank Sum TestT1 = 34A.T2 = 11Ho: The population dist

FIU - INDEX - 3123

Inferences Based on a Single Sample: Estimation with Confidence Intervals7.2Chapter7The confidence coefficient in a confidence interval is the probability that an interval estimator encloses the population parameter. For a 90% confidence inter

FIU - INDEX - 2122

Class examplesI.(Review for the test 2)STA 2122The length of time to complete a door assembly on an automobile factory assembly line is distributed with mean = 7.0 minutes and standard deviation = 5.0 minutes. What is the probability that th

FIU - INDEX - 2122

ChapterMethods for Describing Sets of Data2.22In a bar graph, a bar or rectangle is drawn above each class of the qualitative variable corresponding to the class frequency or class relative frequency. In a pie chart, each slice of the pie corr

FIU - INDEX - 2122

ChapterProbability3.2 3.4 3.6 3.8 The most basic outcomes of an experiment are sample points.3A Venn diagram is a pictorial method for presenting the sample space of an experiment. An event is a specific collection of sample points. Suppose th

Toledo - ECONOMICS - 4060

Professor Dwayne BenjaminDepartment of Economics University of Toronto 150 St. George Street Toronto, Ontario CANADA M5S 3G7 phone: (416) 978-6130 fax: (416) 978-6713 email: dwayne.benjamin@utoronto.caMarch 4, 2004MEMOTo: Regarding: Ph.D

Toledo - ECONOMICS - 4060

Table 4: Fields of Specialization Sought In Job Openings for Economists 1996-2002 Field of Specialization Sought 1996 1997 1998 1999 2000 2001 2002 Mathematical and Quantitative 230 344 361 425 491 428 435 Methods International Economics 253 282 323

Toledo - ECONOMICS - 4060

Discussion of "Network Effects and the Educational Attainment of Young Immigrants" by Florian HoffmannKunio TsuyuharaSeptember 22, 2006 @ 4060Five Keywords for the paperwhich, I believe, are the keys to read Florian's workFive Keywords Keywo

Toledo - ECONOMICS - 4060

1CommentsNetwork eects are hard to estimate and interpret.oit = 1mit + 0yit + wit mit = bmit 1 dcit + ayit + "it yit = cit + vit 2 cov (mit; yit) = a2 y(1) (2) (3) (4)yit is unobservable component of economic opportunityin city which will

Toledo - ECONOMICS - 4060

Year 3 students Joel Blit Supervisor: Dan Trefler Committee: Ignatius Horstmann Diego PugaMarcelin Joanis Robert McMillan, Michael Smart and Michael BakerZhaoxia Xu The chair my committe is Laurence Booth. The other 2 members are Varouj Aivazian

Toledo - ECONOMICS - 4060

Group B (roughly third year) Sign in Sheet: (Please sign next to your name)Date Cheung, Stephen Chia, Yee-Fei Hanna, Emily Hashmi, Aamir Rafique Huangfu, Hiuhua Heys, Bradley Kim, Hankook Liu, Chun Liu, Qing Liu, Wei Morin, Louis-Phillipe Sun, Hongf

Toledo - ECONOMICS - 4060

ECO4060 2006/2007 Discussion Groups for Second Year Student (PRELIMINARY) Group 1: Group 2: Group 3: The division of students is preliminary. Please let us know if you have any questions about your group allocation. All meetings are at 11:30-12:00 in

Toledo - ECONOMICS - 4060

Eco4060 Course EvaluationsPlease fill out two scantron forms: one for Joanne and one for Michael. Please answer only the relevant questions: 1, 2, 5, 6, 9-13, and 16-18.Eco4060 Course Evaluation Supplemental QuestionsPlease answer the following q

Toledo - ECONOMICS - 4060

Eco 4060 Graduate Research Seminar: Instructor Guideline 2004/2005COURSE OUTLINE: The aim of the course is to help students make the transition from being a student to doing research. All second and third year students are required to attend (but st

Toledo - ECONOMICS - 4060

DOCTORAL STUDENT SUPERVISION INFORMATION - 2004-05 (as of Oct 14) Status Student Name Blit, Joel 2 Doda, Baran Joanis, Marcelin 0 McCaig, Brian 3 Mg Rahaman, Mohammad Sun, Ling Vogel, Carl Ward, Courtney Ye, Mingxiao Zhou, Simiao Chan, Ping Ching Win

Toledo - ECONOMICS - 4060

Active Student Supervisions Fall 2004/2005 (as of Oct 14) Full Members of the Graduate Faculty V. A. Aivazian, BS, MA, PhD G. J. Anderson, BA, MSc, PhD W. M. Baker, BCom, MA, PhD H. D. Benjamin, BSc, MA, PhD L. Brandt, BS, MS, PhD J. L. Carr, BCom

Toledo - ECONOMICS - 4060

Progress Report on Year-2 4060 Students, April 13, 2005"3rd-Yr Student" Cheung, Stephen Chia, Yee-Fei Hanna, Emily Hashmi, Aamir Heys, Brad Huangfu, Xiuhua Kim, Hankook Liu, Chun Liu, Qing Liu, Wei 4060 Advisor Melino Siow Siow Melino Melino Melino

Toledo - ECONOMICS - 4060

Some thoughts on Supervision- one of (if not, the) most important professional relationships you will ever have - important to take it seriously-something no one ever talks about. So this is an attempt to start a conversation about it (I encourag

Fayetteville State University - EML - 3100

EML 3100 Exam 1 Page 1/3THERMODYNAMICS Solutions (dommelen@eng.fsu.edu)1/31/06 11:45-1 pm series aDO NOT WRITE ON THE BLUE TABLES. RETURN THE BLUE TABLES WITH YOUR EXAM. DO NOT STAPLE THE 3 EXAM SHEETS TOGETHER. Put your answers on the same she

Fayetteville State University - EML - 3100

EML 3100 Exam 1 Page 1/3THERMODYNAMICS Solutions (dommelen@eng.fsu.edu)1/31/06 11:45-1 pm series aDO NOT WRITE ON THE BLUE TABLES. RETURN THE BLUE TABLES WITH YOUR EXAM. DO NOT STAPLE THE 3 EXAM SHEETS TOGETHER. Put your answers on the same she

San Jose State - CMPE - 202

CmpE 202 Lab Schedule Spring 2008 Please note, this file will be updated periodically and must be checked weekly. Lab will be taken place after the lecture @ENGR 337 Date 3/01 3/21 4/05 4/19 4/26 Content Design Session on Documenting Processes Des

San Jose State - CMPE - 202

CmpE 202: Software Systems Engineering Submission Guidelines1. All team project materials must be submitted on time. 2. For team submission, you must cc: all the team members. 3. All team project submission must be handed in as hardcopies and must b

San Jose State - CMPE - 202

CmpE 202 Software System Engineering Problem Statements for Team ProjectsProblem Statement Requirements (Requirements for your team projects)Electronic submissions only, Check submission Guidelines: Hand in the following (one per group) for team p

Clemson - CPSC - 414

Writing. ON THE EDGEJustin AmesClemson UniversityDanielle DeutschClemson UniversityCorey TollisonClemson Universityjnames@clemson.eduddeutsc@clemson.eductollis@clemson.eduABSTRACTSome systems such as PDAs, cell phones, video game sys

San Jose State - CMPE - 202

CmpE 202 Software Systems EngineeringTeam Project #2The requirements analysis and design specifications part of the projects will be specified using the Unified Modeling Language (UML) on Rational Rose or any other suitable modeling tool, such as

San Jose State - CMPE - 202

CmpE 202 Software Systems EngineeringTeam Project #3:Pattern Assignments Due Date: Check the due date schedule for pattern assignments due date. Major Tasks: 1. Use traditional model to model the concepts definitions (Meta models) 2. Use software

San Jose State - CMPE - 202

CmpE 202 Software Systems EngineeringTeam Project #4:Engine Assignments Due Date: Check the due date schedule for Engine assignments due date. Major Tasks: 1. Use software stability model to model an Engine and that are assigned to you and 2. Docu

San Jose State - CMPE - 202

Software Development Processes (PP1) 1. Reverse Engineering Process 2. Configuration Management 3. Architectural Design Process 4. Risk ManagementDocument each of the above development processes (as a macro-, a mini-, or a micro development process

San Jose State - CMPE - 202

Software Development Processes Documentation using Dynamic Models (PP3) 1. Workflows 2. AnyTask3. AnyProject4. Activity DiagramDocument each of the above development processes (as a macro-, a mini-, or a micro development process) using:a. The

San Jose State - CMPE - 202

Design Session (01) PP4 InvitationYou invited and hosted a group of people for dinner. Would you think of the invitation and dinner as a modeling problem and answer the following questions? (1) Document two of the Use Cases in Your Problem: (a) Ide

San Jose State - CMPE - 202

Team Projects (PP5)You are working on team projects for CmpE 202 OR CmpE 131. Would you think of working on team projects as a modeling problem and answer the following questions? (1) Document three of the Use Cases in Your Problem: (a) Identify two

San Jose State - CMPE - 202

Seeking a Loan from a Financial Institution (PP6)You are seeking a loan from a Financial Institution, such as a bank. Would you think of this problem as a modeling problem and answer the following questions? (1) Document three of the Use Cases in Yo

San Jose State - CMPE - 202

Exercises (PP8)Prepare traditional models for the following problems showing at least 10 relationships among the following object classes, including associations, aggregations, and generalizations. Show multiplicities in your diagrams. You dont need

San Jose State - CMPE - 202

Exercises (PP10)Examine the following CRC cards (three groups) and list all the major problems with them. State why? Group #1: RESPONSIBILITY To initiate play Battery COLLABORATION CLIENT SERVER Infielder Pitches Outfielder Fields Defensive Str

San Jose State - CMPE - 202

Exercises (PP11)Examine the following class diagrams (three) and list all the major problems with them. State why? Class Diagram #1:Employee TaskCompanyM anagersIndividual TaskTeamMa nagerProgrammerGroupTaskTeamLeaderProjectMa nager

San Jose State - CMPE - 202

Practice Problem (PP18)Automated Status Report Management System_ Read the following problem statement and perform the following: 1. Use Case Diagrams and Use Cases. Use one or more diagrams to describe all the actors in design session problem and

San Jose State - CMPE - 202

Practical Problem (PP22) _ Model a metamodel (traditional class diagram) of each of the following concepts: Activity Diagram Decision Action Condition Swimlane Object Event Transion Workflow Spliting Merging StartingPoint EndingPoint Concurrency Cons

San Jose State - CMPE - 202

Practical Problem (PP23)_ Model a metamodel (traditional class diagram) of each of the following concepts: Requirements Engineering Data Model Data Warehouse Abstract Class Data Type Abstraction Adaptive Maintenance Aspect-Oriented Development Compo

San Jose State - CMPE - 202

Practical Problem (PP24)_ Model or create a class diagram of each of the following concepts using software stability model, resulting stable analysis pattern for EBT and stable design pattern for BO. No documentation No meta models. No Implementatio

San Jose State - CMPE - 202

CmpE 202 Software System Engineering Spring 2008Due DatesTeam ProjectsYour Contact Info Your Team Name & Contact Info Team Projects' Reqs. Statements Starts atDue Date Sunday, February 03, 2008 Midnight Sunday, February 10, 2008 Midnight Sun

San Jose State - CMPE - 202

CmpE 202 Software System Engineering Spring 2008Due DatesTeam ProjectsYour Contact Info Your Team Name & Contact Info Team Projects' Reqs. Statements Starts atDue Date Sunday, February 03, 2008 Midnight Sunday, February 10, 2008 Midnight Sun

San Jose State - CMPE - 202

CmpE 202 Software Systems EngineeringTeam Project #2The requirements analysis and design specifications part of the projects will be specified using the Unified Modeling Language (UML) on Rational Rose or any other suitable modeling tool, such as

San Jose State - CMPE - 202

CmpE 202 Software Systems EngineeringTeam Project #3:Pattern Assignments Due Date: Check the due date schedule for pattern assignments due date. Major Tasks: 1. Use traditional model to model the concepts definitions (Meta models) 2. Use software

Idaho - MRC - 542

EE 542 Introduction to Digital Systems Testing Instructor: Jim Frenzel BEL 322 (inside MRC) 885-7532 jfrenzel@uidaho.edu http:/www.uidaho.edu/~jfrenzel Office Hours: Check Web page Description: The cost of testing