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University of Toronto - BUSINESS - 2600
F INANCIAL ACCOUNTINGauserperspectiveSixthCanadianEditionCHAPTER 2ANALYZING TRANSACTIONS AND THEIR E FFECTS ONF INANCIAL STATEMENTSJ ohn Wiley & Sons Canada, Ltd. 2011Basic Accounting Equation2Assets =Liabilities +ShareholdersE quityorShareho
University of Toronto - BUSINESS - 2600
F INANCIAL ACCOUNTINGa user perspectiveSixth Canadian EditionCHAPTER 3PROCESSING DATA THROUGH THE ACCOUNTING SYSTEMJ ohn Wiley & Sons Canada, Ltd. 2011.Basic Accounting Equation2As s e ts = Liabilitie s + S hare ho lde rs EquityDouble Entry Bo
University of Toronto - BUSINESS - 2600
FINANCIAL ACCOUNTINGa user perspectiveFifth Canadian EditionChapte r 4Re ve nue Re c o g nitio n and S tate me nt o fEarning sPreparedby:Lynn de Grace C.A.JohnWiley&SonsCanada,Ltd.2011Cash-to-Cash Cycle2Operating activitiesIncludes all normal
University of Toronto - BUSINESS - 2600
F INANCIAL ACCOUNTINGa user perspectiveSixth Canadian EditionChapte r 5The S tate me nt o f Cas h Flo wsJ ohn Wiley & Sons Canada, Ltd.20112Cash Flows versus AccrualAccountingAccrual accounting measuresperformance at a point in the cycleIgnore
University of Toronto - BUSINESS - 2600
MGT201Class DiscussionWeek 2 Chapter 11-60a. All amounts are United States Dollars in Millionsi.Total revenues in 2009: $13,157.ii. Total operating expenses in 2009: $8,104.iii. Depreciation and amortization in 2008: $1,249.iv. Income tax expense
University of Toronto - BUSINESS - 2600
MGT201Class DiscussionWeek 3 Chapter 22-46 Research in Motion Limited (RIM)a. The $2,207,609 in common shares represent the net proceeds receivedfrom shareholders at the time the shares were issued.b. The $5,274,365 in retained earnings represents t
University of Toronto - BUSINESS - 2600
MGT201Class DiscussionWeek 5 Chapter 44-52 a. According to its balance sheet, the value of the transportation thatQantas was committed to provide at year end in 2009 and 2008 was$3,920M ($2,688M + $1,232M) and $3,978M ($2,895M + $1,083M)respectively
University of Toronto - BUSINESS - 2600
MGT201Class DiscussionWeek 6 Chapter 55-54 Loblaw Companies Limiteda. Loblaws net earnings before minority interest increased by 19% from2008 to 2009, and cash flow from operating activities increased bynearly 103%. There is a significant increase i
University of Toronto - BUSINESS - 2600
MGT201Quiz #1 - SolutionsWinter 2009Part A (10 marks)1- I2- NE3- NE4- D5- I6- D7- D8- D9- I10- NEPart B (10 marks)i)Bing CorporationIncome StatementFor the year ended December 31, 2008Sales revenue$265,000ExpensesCost of goods soldS
University of Toronto - BUSINESS - 2600
University of TorontoFaculty of Arts & ScienceJanuary 26, 2010MGT201 H1SFinancial Accounting IDuration:1 hourAids allowed:Non-programmable calculatorInstructions:Please print your name and student in the space provided below.GOOD LUCK!-Student
University of Toronto - BUSINESS - 2600
MGT201Quiz #1Winter 2011SolutionsPART A (5 marks)a) db) ac) cd) ce) dPART B (20 marks)Operating Financing InvestingPurchased inventory costing $254,000 ona accountSold inventory to customers for $625,000, ofb these sales, $80,000 were cash
University of Toronto - BUSINESS - 2600
University of TorontoFaculty of Arts & ScienceFebruary 1, 2011MGT201 H1SFinancial Accounting IDuration:1 hourAids allowed:Non-programmable calculatorInstructions:Please print your name and student in the space provided below.GOOD LUCK!-Student
University of Toronto - STA261 - 261
All quiz solutions+outline
University of Toronto - STA261 - 261
Name:Student No:STA 261H, Winter 2012, Quiz 5(Feb 29, 2012. Duration: 15 minutes. Total points: 10.)Please answer all questions on the question paper1. Suppose that Y1 , Y2 , . . . , Yn denote a random sample from an exponential distributionwith pro
University of Toronto - STA261 - 261
Name:Student No:STA 261H, Winter 2012, Quiz 6(Mar 07, 2012. Duration: 15 minutes. Total points: 10.)Please answer all questions on the question paper1. Let Y1 , Y2 , . . . , Yn denote a random sample from the probability density functionf (y ) = y
University of Toronto - STA261 - 261
Name:Student No:STA 261H, Winter 2012, Quiz 7(Mar 07, 2012. Duration: 15 minutes. Total points: 15.)Please answer all questions on the question paperFor Joness political poll, n = 20 voters were sampled. We wish to disprove the claimthat Jones will
University of Toronto - STA261 - 261
Name:Student No:STA 261H, Winter 2012, Quiz 8(March 21, 2012. Duration: 15 minutes. Total points: 15.)Please answer all questions on the question paperThe hourly wages in a particular industry are normally distributed with mean $13.20and standard de
University of Toronto - STA261 - 261
Name:Student No:STA 261H, Winter 2012, Quiz 9(March 28, 2012. Duration: 15 minutes. Total points: 10.)Please answer all questions on the question paperLet Y1 , Y2 , . . . , Yn denote a random sample from a population having a Poisson distribution wit
University of Toronto - STA261 - 261
S TA261H1S P robability and Statistics II - W inter 2012 (web site: UT Portal)Instructor: Jamie Stafford SS6019Office hrs: T3-5pmCourse Objective: To introduce topics in statistical theory, particularly those in parameter estimation andhypothesis test
University of Toronto - STA261 - 261
Name:Student No:STA 261H, Winter 2012, Quiz 1(January 17, 2012. Duration: 15 minutes. Total points: 15.)Please answer all questions on the question paper1. Let Y1 , Y2 , . . . , Yn be a random sample of size n from an exponential distribution withde
University of Toronto - STA261 - 261
Name:Student No:STA 261H, Winter 2012, Quiz 2(January 25, 2012. Duration: 15 minutes. Total points: 10.)Please answer all questions on the question paper1. The fracture strength of tempered glass averages 14 (measured in thousands of poundsper squar
University of Toronto - STA261 - 261
Name:Student No:STA 261H, Winter 2012, Quiz 2(Feb 1, 2012. Duration: 15 minutes. Total points: 10.)Please answer all questions on the question paper1. Two new drugs were given to patients with hypertension. The rst drug lowered theblood pressure of
University of Toronto - STA261 - 261
University of Toronto - STA261 - 261
University of Toronto - STA261 - 261
University of Toronto - STA261 - 261
University of Toronto - STA261 - 261
University of Toronto - STA261 - 261
University of Toronto - STA261 - 261
University of Toronto - STA261 - 261
STA 261: Probability and Statistics IITerm Test, Monday February 13th 2012, 3:10pm. Duration: 2 hoursInstructor: Jamie Staord, Department of Statistics, University of TorontoRead the following instructions carefully: Do not turn the page until told to
University of Toronto - STA261 - 261
University of Toronto - STA - 261
.J.~q.~\/'\ltd., F~b. l. :!006STA :61FI.:" /'. - -Instructions:No aids arc: allowed other th;to non-programmable calculators. Please showall YOllr work clearly in the space provided to obtain pan;al credit: you mayusc the back of the pages for r
University of Toronto - STA - 261
University of Toronto - STA - 261
University of Toronto - STA - 261
University of TorontoDepartment of StatisticsSTA261H1S - Spring 2011Term Test - SolutionFebruary 16, 2011Name:_Student Number:_Tutorial / Lecture: (circle one)Tutorial A (A-Co) - Shivon (SS1084) Tutorial E (Ro Wo) - Panpan (SS1073)Tutorial B (Cu
University of Toronto - STA - 261
University of Toronto - STA - 261
STA 261 Winter 2011 Practice Problems Week 1 - Solution7.11P(| Y | 2) = P(1.5 Z 1.5) = 1 2P(Z > 1.5) = 1 2(.0668) = .8664.7.12From Ex. 7.11, we require P(| Y | 1) = P(.25 n Z .25 n ) = .90. This will besolved by taking .25 n = 1.645, so n = 43.296. H
University of Toronto - STA - 261
University of Toronto - STA - 261
STA 261 Winter 2011 Practice Problems Week 2 Solution8.6a. E ( 3 ) aE (1 ) (1 a ) E ( 2 ) a (1 a ) .2b. V (3 ) a 2V ( 1 ) (1 a ) 2V ( 2 ) a 2 1 (1 a ) 2 , since it was assumed that 1 and2 are independent. To minimize V ( ) , we can take the first de
University of Toronto - STA - 261
University of Toronto - STA - 261
University of Toronto - STA - 261
STA 261 Winter 2011 Practice Problems Week 4 Solution9.69. Thus, the MOM estimator is 21Y Y 1 .Since Y is a consistent estimator of , by the Law of Large Numbers converges inprobability to . However, this estimator is not a function of the sufficient
University of Toronto - STA - 261
University of Toronto - STA - 261
STA 261 Winter 2011 Practice Problems Week 5 Solution8.408.418.43Use the fact that Z Y has a standard normal distribution. With = 1:a. The 95% CI is (Y 1.96, Y + 1.96) sinceP( 1.96 Y 1.96 ) P(Y 1.96 Y 1.96 ) .95 .b. The value Y + 1.645 is the 95% u
University of Toronto - STA - 261
University of Toronto - STA - 261
STA 261 Winter 2011 Practice Problems Week 6 Solution( 24.3 )2 (17.6 )2308.61With z.025 = 1.96, the 95% CI is 167.1 140.9 1.968.62With z.005 = 2.576, the approximate 99% CI is 24.8 21.3 2.576or (15.46, 36.94).( 7.1) 234( 8.1)241or( 1.02, 8.02
University of Toronto - STA - 261
University of Toronto - STA - 261
STA 261 Winter 2011 Practice Problems Week 8 Solution10.2Note that Y is binomial with parameters n = 20 and p.a. If the experimenter concludes that less than 80% of insomniacs respond to the drugwhen actually the drug induces sleep in 80% of insomniac
University of Toronto - STA - 261
University of Toronto - STA - 261
University of Toronto - STA - 261
STA 261 Winter 2011 Practice Problems Week 9 Solution10.18H0: = 13.20, Ha: < 13.20. Using the large sample test for a mean, z = 2.53, and with = .01, z.01 = 2.326. So, H0 is rejected: there is evidence that the company is payingsubstandard wages.10.1
University of Toronto - STA - 261
STA 261 Winter 2011 Practice Problems Week 10 Solution10.69 The hypotheses are H0: 1 2 = 0 vs. Ha: 1 2 0.a. The computed test statistic is, where s 2 10 ( 52 )2313( 71) 62.74 , is given bypt64 691 162.74 11 14 = 1.57.i. With 11 + 14 2 = 23 degr
University of Toronto - STA - 261
STA 261 Winter 2011 Practice Problems Week 11 Solution10.81 For this exercise, refer to Ex. 8.125.22a. The rejection region is S12 S 2 F21, / 2 S12 S 2 F 2, / 212taken in the second inequality, we have S 2 S12 F21, / 2 .1. If the reciprocal is2
University of Toronto - STA - 261
STA 261 Winter 2011 Practice Problems Week 12 Solution14.1a. H0: p1 = .41, p2 = .10, p3 = .04, p4 = .45 vs. Ha: not H0. The observed and expectedcounts are:ABABOobserved89181281expected 200(.41) = 82 200(.10) = 20 200(.04) = 8 200(.45) = 90T
University of Toronto - MATHEMATIC - 237
University of Toronto - MATHEMATIC - 237
University of Toronto - MATHEMATIC - 237
University of Toronto - MATHEMATIC - 237
MAT 237, PS4Due, Friday Nov. 18, 2:00 pm.in SS Math Aid Center-FAMILY NAME: FIRST NAME: STUDENT ID: Please note:1. Your problem set must be submitted on this form. Please provide your nal, polished solutions in thespaces provided. You may use back
University of Toronto - MATHEMATIC - 237
University of Toronto - MATHEMATIC - 237
MAT 237, PS5Due, Friday Dec. 9, 2:00 pm.in SS Math Aid Center-FAMILY NAME: FIRST NAME: STUDENT ID: Please note:1. Your problem set must be submitted on this form. Please provide your nal, polished solutions in thespaces provided. You may use back
University of Toronto - MATHEMATIC - 237