Lone Star College System - ACCT - 2402

IntermediateAccounting2-1Prepared byCoby HarmonUniversity of California, Santa Barbara2Conceptual Framework forFinancial AccountingIntermediateAccounting14thEdition2-2Kieso,Weygandt,andWarfieldLearning ObjectivesLearning Objectives1.2.Des

Lone Star College System - ACCT - 2402

IntermediateAccounting3- 1Prepared byCoby HarmonUniversity of California, Santa Barbara3The AccountingInformation SystemIntermediateAccounting14thEdition3-2Kieso,Weygandt,andWarfieldLearning ObjectivesLearning Objectives1.2.Explain double

Lone Star College System - ACCT - 2402

INTERMEDIATEACCOUNTINGTHTESTBANK12 EDTIONCHAPTER 2CONCEPTUAL FRAMEWORK UNDERLYINGFINANCIAL ACCOUNTINGTRUE-FALSEConceptualAnswerFTFTFTFTTFFFTTFFTTFFNo.Description1.2.3.45.6.7.8.9.10.11.12.13.14.15.16.17.18.1

Lone Star College System - ACCT - 2402

Dr. M. D. Chase Accounting 300A-10AI.Long Beach State University The Operating Cycle: Worksheet/Closing Entries Page 1THE WORKSHEET and CLOSING ENTRIESReview of Key Concepts and Terms: A. The purpose of the worksheet 1. To show that the accounts of th

Lone Star College System - ACCT - 2402

Welcome to WileyPLUSWelcome to WileyPLUS! Your instructor has chosen to use WileyPLUS this semester and the following information will help you get started. WileyPLUS is an innovative, research-based, online environment for effective teaching and learnin

Lone Star College System - ACCT - 2402

SOLUT IONS TO BRIEF EXERCISES1T able of ContentsChapter 3 . 7 BRIEF EXERCISE 3-1. 7 BRIEF EXERCISE 3-2. 7 BRIEF EXERCISE 3-3. 8 BRIEF EXERCISE 3-4. 8 BRIEF EXERCISE 3-5. 9 BRIEF EXERCISE 3-6. 9 BRIEF EXERCISE 3-7.

Lone Star College System - ACCT - 2402

CHAPTER 8Accounting for InventoriesASSIGNMENT CLASSIFICATION TABLETopics 1. Inventory accounts; determining quantities, costs, and items to be included in inventory; the inventory equation; balance sheet disclosure. Perpetual vs. periodic. Manufacturin

Lone Star College System - ACCT - 2402

SOLUTIONS TO BRIEF EXERCISESBRIEF EXERCISE 3-1 Mar. 31 Raw Materials Inventory. Accounts Payable . Factory Labor . Wages Payable. 45,000 45,000 50,000 50,00031BRIEF EXERCISE 3-2 Mar. 31 Work in Process-Assembly Department. Work in Process-Finishing Dep

Lone Star College System - ACCT - 2402

CHAPTER 7Fraud, Internal Control, and CashASSIGNMENT CLASSIFICATION TABLEBrief Exercises 1, 2, 3 A Problems B ProblemsStudy Objectives 1. Define fraud and internal control. Identify the principles of internal control activities. Explain the applicatio

Lone Star College System - ACCT - 2402

CHAPTER 9Accounting for ReceivablesASSIGNMENT CLASSIFICATION TABLEBrief Exercises 1 A Problems B ProblemsStudy Objectives 1. Identify the different types of receivables. Explain how companies recognize accounts receivable. Distinguish between the meth

Lone Star College System - ACCT - 2402

CHAPTER 11Current Liabilities and Payroll AccountingASSIGNMENT CLASSIFICATION TABLEBrief Exercises 1 A Problems 1A B Problems 1BStudy Objectives 1. Explain a current liability, and identify the major types of current liabilities. Describe the accounti

Lone Star College System - ACCT - 2402

Chapter 4 Solutions to Brief ExercisesBRIEF EXERCISE 4-1 STARR CO. Income Statement For the Year 2010 Revenues Sales . Expenses Cost of goods sold . Wage expense . Other operating expenses . Income tax expense . Total expenses . Net income . Earnings per

Lone Star College System - ACCT - 2402

CHAPTER 6 SOLUTIONS TO BRIEF EXERCISESBRIEF EXERCISE 6-1 8% annual interest i = 8% PV = $15,000 FV = ?01 n=323FV = $15,000 (FVF3, 8%) FV = $15,000 (1.25971) FV = $18,895.65 8% annual interest, compounded semiannually i = 4% PV = $15,000 FV = ?012

Lone Star College System - ACCT - 2402

Lone Star College System - ACCT - 2402

BUSINESS LAW: Text & Cases - Legal, Ethical, International, and E-Commerce Environment 11th Ed.Chapter 1 Introduction to Law and Legal ReasoningCopyright 2009 South-Western Legal Studies in Business, a part of South-Western Cengage Learning.11: School

Lone Star College System - ACCT - 2402

BUSINESSLAW:Text&Cases Legal,Ethical,International,and ECommerceEnvironment 11 Ed. 11Chapter10 Chapter10 Contracts:NatureandTerminologyCopyright 2009 South-Western Legal Studies in Business, a part of South-Western Cengage Learning.1: Overview of Contr

Lone Star College System - ACCT - 2402

BUSINESS LAW: Text & Cases - Legal, Ethical, International, and E-Commerce Environment 11th Ed.Chapter 12 Contracts: ConsiderationCopyright 2009 South-Western Legal Studies in Business, a part of South-Western Cengage Learning.1: Elements of Considerat

Lone Star College System - ACCT - 2402

BUSINESS LAW: Text & Cases - Legal, Ethical, International, and E-Commerce Environment 11th Ed.Chapter 15 Statute of Frauds-Writing RequirementCopyright 2009 South-Western Legal Studies in Business, a part of South-Western Cengage Learning.1: Origins o

Lone Star College System - ACCT - 2402

BUSINESS LAW: Text & Cases - Legal, Ethical, International, and E-Commerce Environment 11th Ed.Chapter 17 Contracts-Performance and DischargeCopyright 2009 South-Western Legal Studies in Business, a part of South-Western Cengage Learning.Introduction

Lone Star College System - ACCT - 2402

BUSINESS LAW: Text & Cases - Legal, Ethical, International, and E-Commerce Environment 11th Ed.Chapter 18 Contracts-Breach and RemediesCopyright 2009 South-Western Legal Studies in Business, a part of South-Western Cengage Learning.Introduction Most C

Lone Star College System - ACCT - 2402

NATURAL LAW AND POSITIVE LAW Law: A body of enforceable rules governing relationships among individuals and between individuals and their society. Natural Law: A system of universal moral and ethical principles that are inherent in human nature and that

Lone Star College System - ACCT - 2402

CONSIDERATION Consideration: Value given in return for a promise. Consideration must be (1) legally sufficient and (2) bargained for by the party receiving it. Legally sufficient consideration may take the form of: (1) promising to do something that the

Lone Star College System - ACCT - 2402

CONTRACTUAL CAPACITY Contractual Capacity: The minimum mental capacity required by law for a party who enters into a contract to be bound by it. Certain persons are generally not considered to have sufficient capacity to be bound by their contracts: Mino

Lone Star College System - ACCT - 2402

STATUTES OF FRAUDS Statute of Frauds: A statute that requires certain types of contracts to be evidenced by a writing in order to be enforceable. The following types of contracts generally must be evidenced by a writing to be enforceable: (1) contracts i

Lone Star College System - ACCT - 2402

DISCHARGE AND PERFORMANCE Discharge: The termination of a party's obligations arising under a contract. Discharge occurs either when: (1) both parties have fully performed their contractual obligations; or (2) events, conduct of the parties, or operation

Lone Star College System - ACCT - 2402

TYPES OF MONETARY DAMAGES A breach of contract entitles the non-breaching party to sue for money damages, including: Compensatory Damages: Damages that compensate the non-breaching party for the injuries or losses actually sustained as a result of the br

Lone Star College System - ACCT - 2402

AGREEMENT Agreement: A meeting of two or more minds in regard to the terms of a contract, through offer and acceptance. Offer: A promise or commitment to perform or refrain from performing some specified future act made by the offeror. The offeror must s

Lone Star College System - ACCT - 2402

BUSINESSLAW:Text&Cases Legal,Ethical,International,and ECommerceEnvironment11 Ed.Chapter11 Chapter11 Contracts:AgreementCopyright 2009 South-Western Legal Studies in Business, a part of South-Western Cengage Learning.Introduction Agreement = offer and

Lone Star College System - ACCT - 2402

CONTRACT VS. PROMISE Promise: A person's declaration that something will or will not happen in the future. Promisor: The person making the promise. Promisee: The person to whom the promisor made the promise.Contract: An agreement between two or more com

Lone Star College System - ACCT - 2402

BUSINESS LAW: Text & Cases - Legal, Ethical, International, and E-Commerce Environment 11th Ed.Chapter 13 Contracts: Capacity and LegalityCopyright 2009 South-Western Legal Studies in Business, a part of South-Western Cengage Learning.1: Contractual Ca

National Tsing Hua University - MATH - 2810

Some Notes. The mgf is a function of the variable t. The mgf may only exist for some particular values of t. Example. If X is a discrete r.v. taking on values xi with probability pi, i=1, 2, 3, ., then If X ~ Poisson(), then for <t<,MX (t) = = ep. 7-21

National Tsing Hua University - MATH - 2810

Random Variablesp. 4-1 A Motivating Example Experiment: Sample k students without replacement from the population of all n students (labeled as 1, 2, ., n, respectively) in our class. = cfw_all combinations = cfw_i1, ., ik: 1i1<ikn A probability measure

National Tsing Hua University - MATH - 2810

p. 4-11Expectation (Mean) and Variance Q: We often characterize a person by his/her height, weight, hair color, . How can we "roughly" characterize a distribution? Definition: If X is a discrete r.v. with pmf fX and range X , then the expectation (or ca

National Tsing Hua University - MATH - 2810

proof.p. 4-21Summary for X ~ Binomial(n, p) Range: X = cfw_0, 1, 2, ., n n x n-x , for x X Pmf: fX (x) = x p (1 - p) Parameters: ncfw_1, 2, 3, . and 0p 1 Mean: E(X)=np Variance: Var(X)=np(1p) Geometric and Negative Binomial Distributions Experiment: A b

National Tsing Hua University - MATH - 2810

p. 4-31Note: For X~binomial(n, p), where (i) n large; (ii) p small, distribution of X Poisson(np) E(X) np mean of the Poisson Var(X) np(1p) variance of the Poisson Poisson Process Example: (1) # of earthquakes occurring during some fixed time span (2) #

National Tsing Hua University - MATH - 2810

Continuous Random Variablesp. 5-1 Recall: For discrete random variables, only a finite or countably infinite number of possible values with positive probability. Often, there is interest in random variables that can take (at least theoretically) on an u

National Tsing Hua University - MATH - 2810

Example (Uniform Distributions). If 1 , if < x , - fX (x) = 0, otherwise, thenp. 5-11Some properties of expectation Expectation of Transformation. If Y=g(X), then R R E(Y ) = - y fY (y) dy = - g(x) fX (x) dx,provided that the integral converges absolu

National Tsing Hua University - MATH - 2810

A special case of the gamma distribution occurs when =n/2 and =1/2 for some positive integer n. This is known as the Chi-squared distribution with n degrees of freedom (Chapter 6) Summary for X ~ Gamma(, ) -1 -x Pdf: x e , if x 0, () f(x) = 0, if x < 0. C

National Tsing Hua University - MATH - 2810

Jointly Distributed Random Variables Recall. In Chapters 4 and 5, focus on univariate random variable. However, often a single experiment will have more than one random variable which is of interest.p. 6-1P X1 X2 Xn R R RDefinition. Given a sampl

National Tsing Hua University - MATH - 2810

n n1,n m=n! n1 !n m !p. 6-11ways.Example: MISSISSIPPI 11 4,1,2,4 =11! 4!1!2!4! .Example (Die Rolling). Q: If a balanced (6-sided) die is rolled 12 times, P(each face appears twice)=? Sample space of rolling the die once (basic experiment): 0 = cfw_

National Tsing Hua University - MATH - 2810

Proof. Let Ai (y) = cfw_x : gi (x) y, i=1, ., n, then FY (y1 , . . . , yn ) = P (Y1 y1 , . . . , Yn yn ) = P (X1 A1 (y1 ), . . . , Xn An (yn ) = P (X1 A1 (y1 ) P (Xn An (yn ) = P (Y1 y1 ) P (Yn yn ) = FY1 (y1 ) FYn (yn ). Theorem. X=(X1, ., Xn) are indepe

National Tsing Hua University - MATH - 2810

Method of probability density function Theorem. Let X=(X1, ., Xn) be continuous random variables with the joint pdf fX. Letp. 6-31Y=(Y1, ., Yn)= g(X), where g is 1-to-1, so that its inverse exists and is denoted by x=g1(y) = w(y) = (w1(y), w2(y), ., wn(

National Tsing Hua University - MATH - 2810

fX(1) ,.,X(n) (x1 , . . . , xn ) dx1 dx n P x1 - dx1 < X(1) < x1 + dx1 , . . . , 2 2 dxn xn - 2 < X(n) < xn + dxn 2 =(i1 ,.,in ): permutations of (1,.,n)p. 6-41P x i1 -dxi1 2< X1 < xi1 +dxi1 2, . . .,xi n -X(2)dxin 2< Xn < xin +dxin 2=X (1)

National Tsing Hua University - MATH - 2810

Expectationp. 7-1 Recall. Expectation for univariate random variable. Theorem. For random variables X=(X1, . , Xn) with joint pmf pX/pdf fX, the expectation of a univariate random variable Y, where Y=g(X1, . , Xn), g:RnR1, is E(Y ) = yYy pY (y)g(x1 ,

National Tsing Hua University - MATH - 2810

Proof. n (n - 1)S 2 = i=1 [(Xi - ) - (X n - )]2 n n 2 2 = + i=1 (Xi - ) i=1 (X n - ) n - 2(X n - ) [ i=1 (Xi - )] n 2 = + n(X n - )2 - 2n(X n - )2 i=1 (Xi - ) n 2 = - n(X n - )2 . i=1 (Xi - ) Therefore,p. 7-11Note. The previous three corollaries also ho

National Tsing Hua University - MATH - 2820

NTHU MATH 2820, 2008 Solution to Homework 11 made by NTHU MATH 282

National Tsing Hua University - MATH - 2820

NTHU MATH 2820, 2008Solution to Homework 1made by NTHU MATH 2820, 2008Solution to Homework 1made by NTHU MATH 2820, 2008Solution to Homework 1made by NTHU MATH 2820, 2008Solution to Homework 1made by NTHU MATH 2820, 2008Solution to Homework 1

National Tsing Hua University - MATH - 2820

NTHU MATH 2820, 20083-70 Fx (x, y) = Pr ( X (1) x, X (n) y )Solution to Homework 2= Pr ( cfw_X (1) x cfw_X (n) y )AB= Pr ( cfw_X (n) y ) Pr ( cfw_X (1) > x cfw_X (n) y ) ~ = Pr ( cfw_X1 , X 2 , , X n y ) Pr ( cfw_x < X1 , X 2 , , X n y ) = 3-77 U1 ,

National Tsing Hua University - MATH - 2820

NTHU MATH 2820, 2008Solution to Homework 3made by NTHU MATH 2820, 2008Solution to Homework 3made by NTHU MATH 2820, 2008Solution to Homework 3made by NTHU MATH 2820, 2008Solution to Homework 3made by NTHU MATH 2820, 2008Solution to Homework 3

National Tsing Hua University - MATH - 2820

NTHU MATH 2820, 2008Solution to Homework 4made by NTHU MATH 2820, 2008Solution to Homework 4made by NTHU MATH 2820, 2008Solution to Homework 4made by NTHU MATH 2820, 2008Solution to Homework 4made by NTHU MATH 2820, 2008Solution to Homework 4

National Tsing Hua University - MATH - 2820

NTHU MATH 2820, 2008 Solution to Homework 5

National Tsing Hua University - MATH - 2820

NTHU MATH 2820, 2008Solution to Homework 6made by NTHU MATH 2820, 2008Solution to Homework 6made by NTHU MATH 2820, 2008Solution to Homework 6made by NTHU MATH 2820, 2008Solution to Homework 6made by

National Tsing Hua University - MATH - 2820

NTHU MATH 2820, 2008Solution to Homework 7made by NTHU MATH 2820, 2008Solution to Homework 7made by NTHU MATH 2820, 2008Solution to Homework 7made by

National Tsing Hua University - MATH - 2820

NTHU MATH 2820, 2008Solution to Homework 8 made by NTHU MATH 2820, 2008Solution to Homework 8

National Tsing Hua University - MATH - 2820

NTHU MATH 2820, 2008Solution to Homework 9made by NTHU MATH 2820, 2008Solution to Homework 9made by NTHU MATH 2820, 2008Solution to Homework 9made by NTHU MATH 2820, 2008Solution to Homework 9made by

National Tsing Hua University - MATH - 2820

NTHU MATH 2820, 2008Solution to Homework 10made by NTHU MATH 2820, 2008Solution to Homework 10made by NTHU MATH 2820, 2008Solution to Homework 10made by NTHU MATH 2820, 2008Solution to Homework 10made by

University of Ottawa - CHM - 2311

1Electron Configurations of Multi-Electronic AtomsOrbital Energies for a One-Electron Atom22s and 2p have same EE depend on n onlyOrbital Energies for a Multi-Electron AtomEnergy depends on n and l3n = 3, l = 2 n = 3, l = 1 n = 3, l = 0 n = 2, l

Cleveland State - MATHEMATIC - MTH 587

cfw_VERSION 6 0 "Windows 7" "6.0" cfw_USTYLETAB cfw_PSTYLE "Ordered List 1" -1 200 1 cfw_CSTYLE " -1 -1 "Times" 1 12 0 0 0 1 2 2 2 2 2 2 1 0 0 1 1 1 0 0 3 3 2 0 2 0 2 2 -1 1 cfw_PSTYLE "Ordered List 2" -1 201 1 cfw_CSTYLE " -1 -1 "Times" 1 12 0 0 0 1 2

Cleveland State - MATHEMATIC - MTH 587

cfw_VERSION 15 0 "Windows 7" "15.0" cfw_USTYLETAB cfw_PSTYLE "Ordered List 1" -1 200 1 cfw_CSTYLE " -1 -1 "Times" 1 12 0 0 0 1 2 2 2 2 2 2 1 0 0 1 1 1 0 0 3 3 2 0 2 0 2 2 -1 1 cfw_PSTYLE "Ordered List 2" -1 201 1 cfw_CSTYLE " -1 -1 "Times" 1 12 0 0 0 1

Cleveland State - MATHEMATIC - MTH 587

cfw_VERSION 15 0 "Windows 7" "15.0" cfw_USTYLETAB cfw_PSTYLE "Ordered List 1" -1 200 1 cfw_CSTYLE " -1 -1 "Times" 1 12 0 0 0 1 2 2 2 2 2 2 1 0 0 1 1 1 0 0 3 3 2 0 2 0 2 2 -1 1 cfw_PSTYLE "Ordered List 2" -1 201 1 cfw_CSTYLE " -1 -1 "Times" 1 12 0 0 0 1

Cleveland State - MATHEMATIC - MTH 587

<?xml version="1.0" encoding="UTF-8"?> <Worksheet> <Version major="15" minor="0"/> <Label-Scheme value="2" prefix="/> <View-Properties presentation="false"></View-Properties> <MapleNet-Properties elisiondigitsbefore="100" labelling="true" indentamount="4"