2 Pages

WinterQuiz200905

Course: ACCT 70360, Spring 2009
School: Windsor
Rating:
 
 
 
 
 

Word Count: 452

Document Preview

3P11 Accounting 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 risk. 2. A set of characteristics that defines good control over working relationships within a company is described as A) Control objectives. B) The control...

Register Now

Unformatted Document Excerpt

Coursehero >> Canada >> Windsor >> ACCT 70360

Course Hero has millions of student submitted documents similar to the one
below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.

Course Hero has millions of student submitted documents similar to the one below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.
3P11 Accounting 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 risk. 2. A set of characteristics that defines good control over working relationships within a company is described as A) Control objectives. B) The control environment. C) Control risk assessment. D) Segregation of functional responsibilities. 3. Which of the following is not a way in which auditors use the concept of materiality? A) As a guide in planning the audit program. B) As a guide in evaluating evidence. C) As a guide in making decisions about the audit report. D) As a guide in assessing control risk. 4. The system of internal controls in a small business is highly dependent on A) Segregation of functional responsibilities. B) Complexity of the internal control system. C) The owner-manager's competence and integrity. D) Bonding of employees. 5. The acceptable level of detection risk is inversely related to the A) Assurance provided by substantive tests. B) Risk of misapplying auditing procedures. C) Preliminary judgment about materiality levels. D) Risk of failing to discover material misstatements. 6. If auditors assess control risk at the maximum level, they will tend to A) Perform a great deal of additional tests of controls. B) Perform a great deal of substantive balance-sheet audit work. C) Perform substantive tests at an interim date. D) Perform more audit procedures using evidence. internal 7. When determining the inherent risk related to an account balance, an auditor theoretically does not explicitly consider the A) Liquidity of the account. B) Degree of management estimation involved in determining the proper account balance. C) Related internal control policies and procedures. D) Complexity of calculations involved. 8. A proper segregation of duties reduces the opportunity for employees to be in a position to both A) Journalize entries and prepare financial statements. B) Record cash receipts and cash disbursements. C) Establish internal controls and authorize transactions. D) Perpetrate and conceal errors and irregularities. 2 9. In considering materiality for planning purposes, an auditor believes that misstatements aggregating $10,000 would have a material effect on an entity's income statement but that misstatements would have to aggregate $20,000 to materially affect the balance sheet. Ordinarily, it would be appropriate to design auditing procedures that would be expected to detect misstatements that aggregate A) $10,000 B) $15,000 C) $20,000 D) $30,000 10. In an audit of financial statements, the auditor's primary concern about an internal control policy or procedure is whether the policy or procedure A) Reflects management's philosophy and operating style. B) Affects management's financial statement assertions. C) Provides adequate safeguards over access to assets. D) Enhances management's decision-making processes. Bonus. What is the name of the oldest radio station in Canada? 2
Find millions of documents on Course Hero - Study Guides, Lecture Notes, Reference Materials, Practice Exams and more. Course Hero has millions of course specific materials providing students with the best way to expand their education.

Below is a small sample set of documents:

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
N.C. State - ECG - 765
Math 233Hessians andUnconstrainedOptimizationFall 2001The Big Picture: Secondderivatives,whetherin single or multi variablecalculus,measuretherateof changein slopes(i.e.thecurvatureof thefunctionf). What makesproblemsharderin multivariablecalcis that w
Concordia Canada - C - chem 241
Chapter 1. The Electronic Structure of the Atom. The Schrdinger Wave Equation Shapes of Atomic Orbitals The Polyelectronic Atom Ion Electron Configurations Magnetic Properties of Atoms1The Structure of Hydrogen and Hydrogenic IonsAs chemists we need t
SUNY Buffalo - MGQ - 201
User Zhu Jiang * Lian Submitted 2/23/09 9:34 PM Name Homework 1 Status Completed Score 3 out of 10 points Instructions You may save your work, if you have not finished it, but YOU MUST SUBMIT it when done. As with the quiz, if you get kicked out of the sy
Delaware - PHYS - 110
Weight ManagementChapter 9Prevalence of overweight ~_% of adults are overweight Highest among _,blacks, and Hispanics, and the poor ~_% of children between 2-19 overweight or "at risk for overweight"Figure 9-1 : Increasing prevalence of obesity among
Delaware - PHYS - 110
Energy balance & body compositionChapter 8Energy balanceStored energy 1 pound of body fat stores ~3,500kcal Even healthy-weight adult has 50,000 200,000 kcal stored Weight gained/lost usually 75% fat, 25% lean tissueAppetite Sensations of hunger, sa
Aarhus Universitet - ENG - 103
Morality The Victorian era is one bound to morality. Morality is also defined through the traditional and religious standards that structured the way of life for many Victorians. Morality is defined as "the proper principles and standards, in respect to r
École Normale Supérieure - ENGLISH - 103
Mystery and suspense in Bronte's novel Jane Eyre provides a crucial element to the reader's interpretation of the novel, allowing Bronte to subtly aid the reader in foreboding coming events. Bronte successfully creates mystery and suspense in her novel th
Ohio State - ENGL - 103
The Movement of a Mind A mind includes all aspects of intellect and consciousness manifested as combinations of thought, perception, memory, emotion, and will. The mind controls and is controlled. It deciphers and foresees, tricks and punishes, perceives
Ohio State - ENGL - 103
Nathan McCullough Honors 12 Vocab Words 1. Pyre - A heap of combustibles for burning a corpse as a funeral rite 2. Perusal - To read or examine, typically with great care. 3. Besieger - To surround with hostile forces. 4. Utterly - Completely; absolutely;
Ohio State - ENGL - 103
Life's Presents Jason Stevens was never looking for any kind of gift. He was the embodiment of an unfulfilling lifestyle filled with careless days revolving around a surplus of money and a group of lackluster friends. It appeared that Jason had no care ab
UCSD - CHEM - 140A
École Normale Supérieure - NBNM - nmbn
Ladybugs on a Rotating DiskTwo ladybugs sit on a rotating disk (the ladybugs are at rest with respect to the surface of the disk anddo not slip). ladybug 2 and the axis of rotation.Ladybug 1 is halfway betweenA. What is the angular speed of ladybug 1?
USC - EE - EE464
EE464 Homework #2 SolutionsProblem #1 Let us define the following events: A cfw_N heads, B1 cfw_Fair Coin and B2 cfw_Loaded Coin. Then we want to plot P (B1 |A) vs pl . Using Bayes' P (B1 ) Theorem we can write P (B1 |A) = P (A|B1 )P(A|B1 )P(A|B2 )P (B2