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Windsor - ACCT - 70360
Liyuan Liu 102271542 Assignment 2 Chapter 4 4.14 In this case, lack of privity is not necessarily a valid defence. Because the president of Mountain Ltd had approached Frost and said that the Bank of Train was prepared to increase their loan to Mountain u
Windsor - ACCT - 70360
L iyuan liu 1022715425.23 A First, the management could change the method to evaluate the inventory. Such as during the inflation period, if the methods changed from L IFO to FIFO, there would be a large increase in the net income section. Second, the ma
Windsor - ACCT - 70360
L iyuan liu 102271542ACCOUNT NAME CASH I N BANKFROM WHOM CONFIRMED BANKI NFORMATION TO BE CONFIRMED Name of the Bank, Address, Phone number, Balance statement: Account balance at the Balances sheet dateTRADE ACCOUNTS RECEIVABLECUSTOMERName of the cu
Windsor - ACCT - 70360
Chapter Notes-11. What are the different types of accountants, and what do they do? Public accountants (PAs), who audit and perform other professional services, can be either CGAs or CAs in Canada. Although some CMAs provide assurance services, most CMAs
Windsor - ACCT - 70360
Chapter Notes-2Chapter Summary1. What are ethics and why are they important? Ethics are broad moral principles or values that help guide our behaviour and establish trustworthy, responsible, and fair relationships. How can I work through an ethical conf
Windsor - ACCT - 70360
1-1 Br ief ly descr ibe the accounting or ganizations that exist in Canada and identify the pr ofessionalThe senior body is the Canadian Institute of Chartered Accountants (CICA) whose members are chartered accountants or CAs. The use of the title " cert
Windsor - ACCT - 70360
Reporting Addendum & ProblemsNon-Audit Engagements Review services and compilation engagements What types of companies?Review standardsi. Adequate planning and proper executioni.Possess or acquire sufficient knowledge of the businessi.Plausibilit
Windsor - ACCT - 70360
ADDITIONAL PROBLEMS SECTION 81.Relco is a high technology company, which, over its 13-year history, has grown rapidly. Relco operates in an industry characterized by heavy expenditures in research and development and products that are regularly updated
Windsor - ACCT - 70360
"draft" Web Destinations Useful for Your Various Chapters' LearningWeb DestinationsWelcome to the Web Destinations. Here you will find the Web links from each chapter in the textbook. Each Web link is hyperlinked for you to select directly from this web
Windsor - ACCT - 70360
ACTG 3P11 Assignment #1 Suggested Solution 1-23 (10 marks as italicized, 2 marks each) The PA firm for the Internet company described in this problem could address these customer concerns by performing a WebTrust attestation engagement. The WebTrust assur
Windsor - ACCT - 70360
BROCK UNIVERSITY THIS EXAMINATION SCRIPT IS NOT TO BE DEPOSITED IN THE LIBRARY RESERVE Mid-Term 1: Winter 2009 Course: ACTG 3P11 Examination Date: February 13, 2009 Location: In class Number of Pages: 12 Number of Students:125 Instructors: Ian L. Adamson
Windsor - ACCT - 70360
BROCK UNIVERSITY THIS EXAMINATION SCRIPT IS NOT TO BE DEPOSITED IN THE LIBRARY RESERVE Mid-Term 2: Winter 2009 Course: ACTG 3P11 Examination Date: March 20, 2009 Location: In class Number of Pages: 12 Number of Students:125 Instructors: Ian L. Adamson Nor
Windsor - ACCT - 70360
Accounting 3P11 Winter 2009 Quiz 5 Solution: addcabcdab, Oldies 1150 or CKOC 1. The probability that an auditor will give an inappropriate opinion on the financial statements best describes A) Audit risk. B) Inherent risk. C) Control risk. D) Detection ri
UIllinois - STAT - 410
STAT 410Homework #2(due Friday, September 12, by 3:00 p.m.)Fall 20081.( ~ 1.9.19 )Let X be a nonnegative continuous random variable with p.d.f. f ( x ) and c.d.f. F ( x ). Show that E( X ) =0(1 - F (x ) ) d x .E( X ) =0x f (x ) d x =0x0dyf
UIllinois - STAT - 410
STAT 410Homework #2(due Friday, September 12, by 3:00 p.m.)Fall 20081.( ~ 1.9.19 )Let X be a nonnegative continuous random variable with p.d.f. f ( x ) and c.d.f. F ( x ). Show that E( X ) =0(1 - F (x ) ) d x .2.Suppose that X follows a uniform
UIllinois - STAT - 410
STAT 410Examples for 09/12/2008Fall 2008Multivariate DistributionsLet X and Y be two discrete random variables. The joint probability mass function p ( x, y ) is defined for each pair of numbers ( x, y ) byp ( x, y ) = P( X = x and Y = y ).Let A be
UIllinois - STAT - 410
STAT 410Examples for 09/12/2008Fall 2008Multivariate DistributionsLet X and Y be two discrete random variables. The joint probability mass function p ( x, y ) is defined for each pair of numbers ( x, y ) byp ( x, y ) = P( X = x and Y = y ).Let A be
UIllinois - STAT - 410
STAT 410Examples for 09/10/2008Fall 2008Markov's Inequality:Let u ( X ) be a non-negative function of the random variable X. If E [ u ( X ) ] exists, then, for every positive constant c, P(u( X ) c ) E[ u ( X ) ]c.Chebyshev's Inequality:Let X be
UIllinois - STAT - 410
STAT 410Examples for 09/08/2008Fall 2008Example 9: 2x 0 0 < x <1 o.w.02fX( x) =FX( x ) =x1x<0 0 x <1 x 1Y=X. F Y ( y ) = P ( Y y ) = P ( X y ) = 0. F Y ( y ) = P ( Y y ) = P ( X y ) = P ( X y 2 ) = F X ( y 2 ). 0y<1 F Y ( y ) = F X ( y 2 ) = y
UIllinois - STAT - 410
STAT 410Homework #1(due Friday, September 5, by 3:00 p.m.)Fall 20081.Consider a continuous random variable X with probability density functionfX( x) =3x 2 00 < x <1 o.w.Find the moment-generating function of X, M X ( t ). -MX( t ) = E( e t X )
UIllinois - STAT - 410
STAT 410Homework #1(due Friday, September 5, by 3:00 p.m.)Fall 20081.Consider a continuous random variable X with probability density functionfX( x) =3x 2 00 < x <1 o.w.Find the moment-generating function of X, M X ( t ).2.Suppose a discrete ra
UIllinois - STAT - 410
STAT 410Examples for 09/05/2008 Transformations of Random VariablesFall 2008Example 1:x1 2 3 4pX( x )0.2 0.4 0.3 0.1 Y = X2y = x21 4 9 16pY( y ) = pX( y )0.2 0.4 0.3 0.1Example 2:x2 0 2 3pX( x )0.2 0.4 0.3 0.1 Y = X2y0 4 9pY( y ) p X (
UIllinois - STAT - 410
STAT 410Examples for 09/03/2008Fall 2008Mixed Random Variables: 1.Consider a random variable X with c.d.f.0F( x ) =x <11 x < 2x2 -2x+24 1x2a) b)Find X = E ( X ).2 Find X = Var ( X ).Discrete portion of the probability distribution of X:p (
UIllinois - STAT - 410
STAT 410 Fall 2008 Version BNameANSWERS.Quiz 0(10 points)Be sure to show all your work, your partial credit might depend on it.No credit will be given without supporting work.1. (2) Evaluate the following sum. n =1( ln 5 ) nn!= _. n =1( ln 5
UIllinois - STAT - 410
STAT 410 Fall 2008 Version BName _Quiz 0(10 points)Be sure to show all your work, your partial credit might depend on it.No credit will be given without supporting work.1. (2) Evaluate the following sum. n =1( ln 5 ) nn!= _.2. (2) Evaluate the
UIllinois - STAT - 410
STAT 410 Fall 2008 Version ANameANSWERS.Quiz 0(10 points)Be sure to show all your work, your partial credit might depend on it.No credit will be given without supporting work.1. (2) Evaluate the following sum. m =1( ln 3 ) mm!= _. m =1( ln 3
UIllinois - STAT - 410
STAT 410 Fall 2008 Version AName _Quiz 0(10 points)Be sure to show all your work, your partial credit might depend on it.No credit will be given without supporting work.1. (2) Evaluate the following sum. m =1( ln 3 ) mm!= _.2. (2) Evaluate the
UIllinois - STAT - 410
STAT 410 Example 9:Examples for 08/29/2008Fall 2008Suppose a discrete random variable X has the following probability distribution: P( X = 0 ) = p,a)P( X = k ) =1 , k = 1, 2, 3, . 2 k k!Find the value of p that would make this a valid probability d
UIllinois - STAT - 410
STAT 410Examples for 08/27/2008 expected value E( X ) = XIf-Fall 2008discreteIfcontinuousall xx p ( x ) < ,x f ( x) d x < ,-E( X ) =all xx p ( x)E( X ) =x f ( x) d xExample 1:x1 2 3 4p( x )0.2 0.4 0.3 0.1x p( x )0.2 0.8 0.9 0.4 2.3
UIllinois - STAT - 410
STAT 410Examples for 08/25/2008random variablesFall 2008discreteprobability mass function p.m.f.continuousprobability density function p.d.f.p( x ) = P ( X = x ) x0 p( x ) 1all xf( x ) x-f( x ) 0p( x ) = 1f (x ) d x = 1cumulative distribut
UIllinois - STAT - 410
STAT 410 Fall 2008 Version AName(10 points)ANSWERS.Quiz 2Be sure to show all your work, your partial credit might depend on it. Put your final answers at the end of your work, and mark them clearly.If the answer is a function, its support must be i
UIllinois - STAT - 410
STAT 410 Fall 2008 Version AName _(10 points)Quiz 2Be sure to show all your work, your partial credit might depend on it. Put your final answers at the end of your work, and mark them clearly.If the answer is a function, its support must be included.
UIllinois - STAT - 410
STAT 410(due Friday, September 26, by 3:00 p.m.)Homework #4Fall 20081.Let X and Y have the joint probability density functionx+4 yf X, Y ( x, y ) =0 a) Find f Y ( y ).10 < y < x <1 otherwisefY( y) =( x + 4 y ) dx=x22+4xy1yy=1 9 +4 y -
UIllinois - STAT - 410
STAT 410(due Friday, September 26, by 3:00 p.m.)Homework #4Fall 20081.Let X and Y have the joint probability density functionx+4 yf X, Y ( x, y ) =0 a) d) Find f Y ( y ). b)0 < y < x <1 otherwise c) e) Find E ( Y | X ). Find Cov ( X, Y ).Find f
UIllinois - STAT - 410
STAT 410Examples for 09/24/2008Fall 20081.Let X and Y be two independent Exponential random variables with mean 1. Find the probability distribution of Z = X + Y. That is, find f Z ( z ) = f X + Y ( z ) .Recall 2.1.6 ( Homework 3 ):2.1.6Let f ( x,
UIllinois - STAT - 410
STAT 410Examples for 09/24/2008Fall 20081.Let X and Y be two independent Exponential random variables with mean 1. Find the probability distribution of Z = X + Y. That is, find f Z ( z ) = f X + Y ( z ) .2.Let X and Y be two independent Exponential
UIllinois - STAT - 410
STAT 410Examples for 09/22/2008Fall 20082.4Covariance and Correlation CoefficientCovariance of X and Y XY = Cov ( X , Y ) = E [ ( X X ) ( Y Y ) ] = E ( X Y ) X Y(a) (b) (c) (d) Cov ( X , X ) = Var ( X ); Cov ( X , Y ) = Cov ( Y , X ); Cov ( a X + b
UIllinois - STAT - 410
STAT 410Examples for 09/22/2008Fall 20082.4Covariance and Correlation CoefficientCovariance of X and Y XY = Cov ( X , Y ) = E [ ( X X ) ( Y Y ) ] = E ( X Y ) X Y(a) (b) (c) (d) Cov ( X , X ) = Var ( X ); Cov ( X , Y ) = Cov ( Y , X ); Cov ( a X + b
UIllinois - STAT - 410
STAT 410 Fall 2008 Version BName(10 points)ANSWERS.Quiz 1Be sure to show all your work, your partial credit might depend on it.No credit will be given without supporting work.1.Consider a continuous random variable X with p.d.f.fX( x) =2 x 21 0
UIllinois - STAT - 410
STAT 410 Fall 2008 Version BName _(10 points)Quiz 1Be sure to show all your work, your partial credit might depend on it. Put your final answers at the end of your work, and mark them clearly.No credit will be given without supporting work.1.Consid
UIllinois - STAT - 410
STAT 410 Fall 2008 Version AName(10 points)ANSWERS.Quiz 1Be sure to show all your work, your partial credit might depend on it.No credit will be given without supporting work.1.Consider a continuous random variable X with p.d.f.fX( x) =2 x 65 0
UIllinois - STAT - 410
STAT 410 Fall 2008 Version AName _(10 points)Quiz 1Be sure to show all your work, your partial credit might depend on it. Put your final answers at the end of your work, and mark them clearly.No credit will be given without supporting work.1.Consid
UIllinois - STAT - 410
STAT 410Homework #3(due Friday, September 19, by 3:00 p.m.)Fall 20081.Suppose that the random variables X and Y have joint p.d.f. f ( x, y ) given byf ( x, y ) = C x 2 y,a) Sketch the support of ( X , Y ).0 < x < y, x + y < 2.b)What must the val
UIllinois - STAT - 410
STAT 410Homework #3(due Friday, September 19, by 3:00 p.m.)Fall 20081.Suppose that the random variables X and Y have joint p.d.f. f ( x, y ) given byf ( x, y ) = C x 2 y,a) b) c) Sketch the support of ( X , Y ).0 < x < y, x + y < 2.What must the
UIllinois - STAT - 410
STAT 410Examples for 09/19/2008Fall 20081.Let X and Y have the joint p.d.f.f X Y ( x, y ) = 20 x 2 y 3,a) Find f X ( x ), f Y ( y ).0 < x < 1, 0 < y <x.f X ( x ) = 5 x 4, 0 < x < 1. f Y( y ) =b)20 y 3 - y 9 , 0 < y < 1. 3()Find f X | Y ( x |
UIllinois - STAT - 410
STAT 410Examples for 09/19/2008Fall 20081.Let X and Y have the joint p.d.f.f X Y ( x, y ) = 20 x 2 y 3,a) b) c) d) Find f X ( x ), f Y ( y ). Find f X | Y ( x | y ), f Y | X ( y | x ). Find E ( X | Y = y ), E ( Y | X = x ). Find E ( X ), E ( Y ).0
UIllinois - STAT - 410
STAT 410Examples for 09/17/2008Fall 20082.3 1.Conditional Distributions and Expectations.Consider the following joint probability distribution p ( x, y ) of two random variables X and Y:y x1 2 0 0.15 0.15 0.30 1 0.15 0.35 0.50 2 0 0.20 0.20pX( x)
UIllinois - STAT - 410
STAT 410Examples for 09/15/2008Fall 20082.3 1.Conditional Distributions and Expectations.Consider the following joint probability distribution p ( x, y ) of two random variables X and Y:y x1 2 0 0.15 0.15 0.30 1 0.15 0.35 0.50 2 0 0.20 0.20pX( x)
Nassau CC - PHY - PHY
Table of Contents Title Objectives Introduction Literature Review Theory Analytical Studies Computer Simulation Discussion References Appendix Page No 1 1 1 4 14 15 15 15 1611. Objectives The purpose of this project is to reinforce students' understandi
Nassau CC - PHY - PHY
Y LABORATORY REPORT NANYANG TECHNOLOGICAL 0.380 2: ur e (l eft) resemblGr aph4:Tabl e3-poibeamnfor1: 2 KNNA77.15(From foroadof bothoadigraph)to pl asti pboard Graphes 5: =Iaph 4-poiarFrecesbeamNewgur25.10Set bothtostress-strainngng System chi c GraphaphRe
Nassau CC - PHY - PHY
NANYANG TECHNOLOGICAL UNIVERSITY P2.6 STUDY OF PLANETARY GEAR TRAINSNANYANG TECHNOLOGICAL UNIVERSITY SCHOOL OF MECHANICAL AND AEROSPACE ENGINEERING P2.6 STUDY OF PLANETARY GEAR TRAINSLABORATORY REPORT FOR STUDY OF PLANETARY GEAR TRAINSLABORATORY: MECHA
Nassau CC - PHY - PHY
NANYANG TECHNOLOGICAL UNIVERSITY COMBINED HEAT TRANSFER BY FREE CONVECTION AND RADIATIONT9101 2Anemometer 3 1. forced free OBJECTIVES diationGraphshowing Figureforced withfree convection (Qconv flowtotalthrough heating element. Its temperature various
Nassau CC - PHY - PHY
1st YEAR COMMON ENGINEERING COURSE LAB REPORT MAGENETIC INDUCTION OF A CURRENT CARRYING LONG STRAIGHT WIREName: Matric: Group: Date:SHAFIQ SAMSUDIN 067437E03 BL18 13.02.20071TABLE OF CONTENTS1. Introduction 2. Literature Review 3. Experiment Setup 4.
Nassau CC - PHY - PHY
1st YEAR COMMON ENGINEERING COURSE LAB REPORT MICROSTRUCTURES OF MATERIALSName: Matric: Group: Date:SHAFIQ SAMSUDIN 067437E03 BL13 18.09.20061TABLE OF CONTENTS1. Introduction 2. Literature Review 3. Experiment Setup 4. Question & Answer 5. Conclusion
Nassau CC - PHY - PHY
NANYANG TECHNOLOGICAL UNIVERSITY WORK HARDENING CHARACTERISTICS OF SHEET METALSLABORATORY 4: Copper specimens in Figure REPORT Graph 2: :2:Inpicture Ecomet thespecimen specimen. Graph 3:1:1: Data2: of thethe2Cusample Table Stress-Strain curve for CuCu sa
Nassau CC - PHY - PHY
1.FREE CONVECTION SAMPLE CALCULATION (5V)Before we start the calculations, below are lists of constants that will be useful in the calculation of the results; Constants Acceleration due to gravity (g) = 9.81 ms-2 Heating Element Diameter (D) = 0.01 m He
Clarkson - PHYSICS - 131
m/M0.7 0.6 0.5 0.4 V 0.3 0.2 0.1 0 0 0.2 0.4 0.6 v 0.8 1 1.2y = 0.5424x + 0.0156 R = 0.99762m/(M+m)0.25 0.2 0.15 V 0.1 0.05 0 0 0.1 0.2 0.3 0.4 v 0.5 0.6 0.7 0.8 y = 0.4083x - 0.0362 R = 0.98242
Clarkson - PHYSICS - 131
Answers to PH-131 Fall 2006 Exam 1 This document does not contain the solution to each of the problems. It contains only the final answers. Use the exam as a timed practice test and check your answers. You may check your solutions with any of the TAs. Rem
Minnesota - MATH - 5707
Probability of Poker HandsDrew Armstrong armstron@math.umn.edu November 1, 2006In a standard deck of cards, there are 4 possible suits (clubs, diamonds, hearts, spades), and 13 possible values (2, 3, 4, 5, 6, 7, 8, 9, 10, Jack, Queen, King, Ace). Let A,
IIT Bombay - AE - 317
AE 317 and AE 727 - Aircraft Structures Lab Department of Aerospace Engineering, IIT-Bombay Lab Manual Series Autumn 2009EXPERIMENT 10: VIBRATION 2Title: Measurement of natural frequencies and modal damping constant for a cantilever beam using sine swee
UGA - ARHI - 2300
Insular Art History What is Insular Art? What time period is the Illuminated Manuscript Lindisfarne Gospel created in? after sacking of Rome, all communities under Rome are free to go as they please so they are migrating around Europe trying to find their