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Radford - MKTG - 305
CHAPTER 11Elements of a Great Sales PresentationLECTURE OUTLINEI.THE TREE OF BUSINESS LIFE: PRESENTATIONA. Truthfully showing and telling about your product shows you are a personwith integrity and character.B. Should there be even a hint of exagge
Radford - MKTG - 305
CHAPTER 12Welcome Your Prospects ObjectionsLECTURE OUTLINEI.THE TREE OF BUSINESS LIFE: OBJECTIONSA.If a customer has a valid objection, and the customer does not needyour product, leave.B.If the customer is incorrect, politely show them how your
Radford - MKTG - 305
CHAPTER 13Closing Begins the RelationshipLECTURE OUTLINEI.THE TREE OF BUSINESS LIFE: CLOSINGA.Remember to do what's best for the customer.B.Ask yourself, "Should they buy this?" If the answer is no, tell themyou don't think they really need the p
Radford - MKTG - 305
CHAPTER 14Service and Follow-up for Customer RetentionLECTURE OUTLINEI.THE TREE OF BUSINESS LIFE: SERVICEA. Service and follow-up after the sale shows you truly care.B. Selling guided by the Golden Rule leads to ethical actions, then to ethicalhabi
Radford - MKTG - 305
CHAPTER 15Time, Territory, and Self-Management: Keys to SuccessLECTURE OUTLINEI.THE TREE OF BUSINESS LIFE: TIMEA. People spend time doing what is most important in their lives.B. Using your time in a career to help others results in a wonderful life
Radford - MKTG - 305
CHAPTER 16Planning, Staffing, and Training Successful SalespeopleLECTURE OUTLINEI.THE TREE OF BUSINESS LIFE: MANAGEMENTA. The same characteristics needed in sales people are needed in salesmanagers.B. Just as there is a Golden Rule of Sales, there
Radford - MKTG - 305
CHAPTER 17Motivation, Compensation, Leadership and Evaluation of SalespeopleLECTURE OUTLINEI.THE TREE OF BUSINESS LIFE: MANAGEMENTA. Sales managers impact the lives of their salespeople and their families.B. Sales managers should do all they can to
Mt. SAC - ASTR - 5
Tycho Brahe (1546-1601 C.E.) Built instruments tomeasure thepositions ofplanets veryaccurately (~1 arcminute) Found that comets moved outsideof the Earths atmosphere Witnessed a supernova andconcluded that it was much fartheraway than any celes
Mt. SAC - ASTR - 5
9/2/10Light and MatterThe Speed of Light is Finite Almost all knowledgeof the Universe beyondEarth comes from light. Light can tell us aboutobjects in space:temperature,composition, speeds,and more. Light moves at 300,000 km/s in a vacuum. Fir
Mt. SAC - ASTR - 5
9/2/10Light and Matter InteractionsWhat happens when light and matterinteract?Atoms and Light Atoms have a dense nucleus of protons andneutrons. Electrons surround the nucleus in a cloud.Easiest possibility = reflection (why is anorange orange?)
Mt. SAC - ASTR - 5
Optical TelescopesTelescopes The telescope is theastronomers mostimportant tool. Purpose: to gather lightof all kinds. Two kinds of opticaltelescopes: reflectingand refracting.2010 W.W. Norton & Company, Inc.Optical TelescopesImages can be for
Mt. SAC - ASTR - 5
Components of the Solar SystemThe Kuiper Belt The vast majority of the SolarSystems mass resides in the Sun All the planets, asteroids andcomets make up less than 1/700of the mass of the Solar System!Please insertfigure 32.1 The rocky inner plane
Mt. SAC - ASTR - 5
Atmosphere and Hydrosphere The Earth is surrounded bya thin envelope of gas, itsatmosphere Mass of the atmosphere isonly 10-6 of the total massof the Earth If the Earth were the size ofan apple, the atmospherewould be thinner than theapples skin
Mt. SAC - ASTR - 5
10/11/10Mercury, The Innermost Planet Mercury is one of the least exploredplanets in the Solar SystemUnit 38 Mariner 10 (1970s) provided most ofthe information we have NASAs MESSENGER returned toMercury in 2008 on its first flyby. MESSENGER will
Mt. SAC - ASTR - 5
10/13/11Mars Diameter 1/2 Earthsdiameter Axis tilted againstorbital plane by 25o,similar to Earthsinclination (23.5o)Unit 40 Very thinatmosphere,mostly CO2 Rotation period= 24 h, 40 min. Seasons similar toEarth Growth andshrinking of polar
Mt. SAC - ASTR - 5
10/18/10SaturnThe Interiors of the Gas GiantsMass: ~ 1/3 of mass of JupiterRadius: ~ 16 % smaller than JupiterAv. density:0.69 g/cm3 Would float inwater!Please insert figure 43.3Rotates about as fast as Jupiter, but is twice asoblate No large c
Mt. SAC - ASTR - 5
10/24/10 Pluto and its Moons Pluto is a mix of water ice,rock, methane and frozennitrogen When Pluto is within Neptunesorbit, it has an atmosphere!Ice Worlds, Pluto andBeyond As the planet moves further out into the solar system, theatmosphere
Mt. SAC - ASTR - 5
10/25/10 The Heating of Meteors When a meteoroid (small chunk of rock inspace) travels through the Earthsatmosphere, it begins ionize the atmospherearound it. The vaporized material andionized gas begins to glowImpacts on Earth It is now called a
Mt. SAC - ASTR - 5
11/1/10 The Solar AtmosphereSunsAtmosphere &Sunspots Regions of the Sun abovethe photosphere are calledthe Suns atmosphere Just above the photospherelies the chromosphere Above thechromosphere isthe coronaThe ChromosphereThe Chromosphere (2
Mt. SAC - ASTR - 5
List of Content:All around :A College Text-Book Of Physics - KimballA Guide to Physics Problems Part 1 - Mechanics, Relativity, and Electrodynamics - Cahn S., Nadgorny B.A Guide to Physics Problems. Part 2. Thermodynamics, Statistical Physics, and Qua
MIT - BUSINESS - 201
A123456789101112131415161718192021222324252627BDiscount ratePresent valueCDE10%$379.08 <- =NPV(B2,B7:B11)12345012345YearIRRNPVYearGDiscount rateNet present valueCashflow1001001001001007.931% <-
MIT - BUSINESS - 201
A12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667686970717273747576BCDEFShare value and anticipa
MIT - BUSINESS - 201
A12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667BCDEFGCHAPTER 3 TEMPLATE-JUST TO SAVE YOU SOME TYPINGS
MIT - BUSINESS - 201
A12345678910111213141516171819202122232425262728293031323334353637383940BCDEFSETTING UP THE FINANCIAL STATEMENT MODELSales growthCurrent assets/SalesCurrent liabilities/SalesNet fixed assets/SalesCosts of
MIT - BUSINESS - 201
Page 90A1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859BCFARMERS BAGELS, INC.Financial Results for First Two Years of Existence1
MIT - BUSINESS - 201
Page 102Misleading analysis: This is the analysis of the first section of the chapterAsset costInterest rateLease rental paymentAnnual depreciationTax rateNPV(leasing)NPV(buying)540,00012%130,00090,00038%these numbers are copiedfrom the nex
MIT - BUSINESS - 201
ABCDEFGHIJKLBASIC LEVERAGED LEASE EXAMPLECost of assetLease termResidual valueEquityDebtInterestAnnual debt paymentAnnual rent receivedTax rateYear1,000,00015300,000200,000800,000 15-year term loan, equal payments of interest an
MIT - BUSINESS - 201
UN-5BAMonth0123456789101112BCStock pricesStock AStock B25.0045.0024.1244.8523.3746.8824.7545.2526.6250.8726.5053.2528.0053.2528.8862.7529.7565.5031.3866.8736.2578.5037.1378.0036.8868.23DEFGHIJCALCULATI
MIT - BUSINESS - 201
UN-6AA1234567891011121314151617181920BCDEFGHRETURN DATA FOR VARIANCE-COVARIANCE CALCULATIONS1974197519761977197819791980198119821983AMR-0.35050.70830.7329-0.20340.1663-0.26590.0124-0.02641.06420.1942BS-0
MIT - BUSINESS - 201
Feasible Port folio0.11Por t f oli o me a n r e t ur n0.10Efficient andenvelope0.090.08Feasible, not efficient0.070.060.050 .00Envelope5.0010.0015.00Port folio st andard deviat ion20.0025.00Finding Envelope Portfolios1200%1000%Por
MIT - BUSINESS - 201
UN-8CA1234567891011121314151617181920212223242526272829303132333435BCDEFGHTHE SECURITY MARKET LINE-A SIMPLE EXAMPLE1974197519761977197819791980198119821983MeanBetaAMR-0.35050.70830.7329-0.20340
MIT - BUSINESS - 201
ABCDEFGHIJKLNO SHORT SALEScMeans8%9%10%11%0.050.030.20.9Ctrl+A works the VBA programwhich calculates efficientportfolios for no-short sales.This program iterativelysubstitutes a constant rangingfrom -3.5% 'till 16% (1/2%jumps)
MIT - BUSINESS - 201
A12345678910111213141516171819202122232425262728293031323334353637MeanSigmaInitial investmentCutoffBCDEFGHI20%30%100809.12% <- =NORMDIST(B6,(1+B3)*B5,B5*B4,TRUE)Data table header:=NORMDIST(B6,(1+B3)*
MIT - BUSINESS - 201
Helen's85th Birthdaybingo game!H315978E2326212220L5140504945E5257685655N7570827169Note: The macro which prints new Bingocards works only on the Page 224 file.A1234567891011121314151617181920212223
MIT - BUSINESS - 201
Call Option Payoff PatternsTime 0Time TTerminal call payoff,Max[ST - X,0] > 0Purchase call option,cash flow < 0Cash flowsof call buyerBetween times 0 and T:Cash flow = 0 for European optionCash flow > 0 for American optionPay terminal call pay
MIT - BUSINESS - 201
UN-11CA12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152BCDEFGHIJKTWO-DATE BINOMIAL OPTION PRICINGUpDown10%-3%Initial stock priceInterest r
MIT - BUSINESS - 201
STOCK PRICE DATE, DAILY, 26OCT98-25OCT99DateSP500AbbottFordKelloggMicrosoft ATT26-Oct-98 1072.32 44.895348.646 32.985292.3754427-Oct-98 1065.34 44.2795 49.1301 32.4983 92.4375 44.687528-Oct-98 1068.09 45.3264 49.8237 31.8897 92.68754329-Oct-
MIT - BUSINESS - 201
UN-13BA123456789101112131415161718192021222324252627282930313233BCDEFGHIJKBlack-Scholes Option-Pricing FormulaSXrTSigma25 Current stock price25 Exercise price6.00% Risk-free rate of interest0.5 Time to
MIT - BUSINESS - 201
A123456789101112131415161718192021222324252627282930313233343536373839404142BCDEFGHIJTHE OPTION TO EXPANDYearCF of single machine0-1000Discount rate for machine cash flowsRiskless discount rateNPV
MIT - BUSINESS - 201
ABCDEFGHIJBlack-Scholes option pricing formulaSXrTSigmad1d250 Current stock price50 Exercise price10.00% Risk-free rate of interest1 Time to maturity of option (in years)25% Stock volatility0.5250 <- (LN(S/X)+(r+0.5*sigma^2)*T)/(sig
MIT - BUSINESS - 201
UN-11IA12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667686970717273747576777879808182838485
MIT - BUSINESS - 201
UN-15BA1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556BCDEFGHBASIC DURATION CALCULATIONYTMYear123456789107%Ct,A707070
MIT - BUSINESS - 201
UN-16CA1234567891011121314151617181920212223242526272829303132333435363738394041424344454647BCDEFGHIBASIC IMMUNIZATION EXAMPLE WITH 3 BONDSYield to maturity6%Coupon rateMaturityFace valueBond
MIT - BUSINESS - 201
McCULLOGH'S TERM STRUCTURE DATA SETDate1.19802.19803.19804.19805.19806.19807.19808.19809.198010.198011.198012.19801.19812.19813.19814.19815.19816.19817.19818.19819.198110.198111.198112.19811.19822.19823.19824.19825.19826.198
MIT - BUSINESS - 201
UN-new chapter 17, AA1234567891011BCDEFEXPECTED RETURN ON A ONE-YEAR BONDWITH AN ADJUSTMENT FOR DEFAULT PROBABILITYFace value, FPrice, PAnnual coupon rate, QNondefault probability, Recovery percentage, Expected cash flowExpected
MIT - BUSINESS - 201
UN-17BABCDEFGHIJKTcMrPayments per yeargDuration-continuous timeL27%256.0%41.256897 <- =(c_/r_*(1-EXP(-r_*(M-T_)+EXP(-r_*(M-T_)/(c_/0.08*(1-EXP(-0.08*(M-T_)+EXP(-0.08*(M-T_)13.32712 <- =(EXP(r_)*(-c_+c_*EXP(M*r_)-c_*M*r_+M*r_^2)/(
MIT - BUSINESS - 201
Page 432A1234567891011121314150.56430.92190.47250.72770.80050.01280.97480.41280.9670B0.85070.52730.88680.10370.18460.02580.05440.59690.1379CDE0.50780.01300.83450.35170.48280.32060.62440.19990.02120.8786 <- R
MIT - BUSINESS - 201
UN-19J1234567891011121314151617181920212223242526ACF1Growth rateDiscount rateYearCash flowNPVIRRBC23410%15%0-1150.00DE=C6*(1+$B$2)1234.002257.40FGH5342.606376.86IJ=D6*(1+$B$2)3283.144311.4574
MIT - BUSINESS - 201
UN-20EABC12345 Matrix A (a row vector)234678910 Matrix D (a 4 x 3 matrix)13-8-311-810-112-3-11113013314DEFGHIMATRICES IN EXCELMatrix B (a square 3 x 3 matrix)13-8-3-810-1-3-111Matrix C(a columnvector)13
MIT - BUSINESS - 201
UN-21AA123456789101112131415BCDEFGHGAUSS-SEIDEL METHOD-SOLUTION BY ITERATIVE SUBSTITUTIONy=(E4-2)/4x050.753.8750.46875 4.2968750.5742188 4.13867190.534668 4.1979980.5494995 4.17575070.5439377 4.18409350.5460234 4.18096
MIT - BUSINESS - 201
UN-22BA1234567891011121314BCDEFGEXCEL'S NPV FUNCTIONDiscount rateYearCash flowNPV10%0-100135233334425516334425516$11.65 <- =NPV(B3,C5:G5)+B5EXCEL'S IRR FUNCTIONYearCash flowIRR0-10013523315.00% <- =
MIT - BUSINESS - 201
ABCDEFG1 AUTO FILL/COPY212325 <- B3+3435465768798101112 Double-clicking on the "fill handle" of a cell will fill in the rest of the column13 provided there's a filled cell next to it.A123PUTTING LINE BREAKS IN CELLSThis
MIT - BUSINESS - 201
A123456BCDEFGHIJKFunctions in ActionParameterFunction11.25#MACRO? <- =Function1(B3)Placing the cursor on a cell with a small red triangle in the corner willshow you the source code of the function used in the cell.To edit the code
MIT - BUSINESS - 201
A1234567891011121314151617181920212223242526272829303132BCDEFGHIJKFunctions In ActionParameter Function1.1667 #MACRO? <- =Function1(A4)1.1667 #MACRO? <- =Function2(A5)1.16666 #MACRO? <- =Function1(A6)1.1666
MIT - BUSINESS - 201
AB123ActivecellDemo()4ActivecellDemo1()CDEFGHIJActivecell Macros in this Workbook5Placing the cursor on a cell with a small red triangle in the cornerwill show you the source code of the Macro or FunctionTo edit the code you may press
MIT - BUSINESS - 201
UN-15I2.6T erm Structures, 19482.42.2Pur e discount r a t e %21.81.61.41.210.80mo 1mo 2mo 3mo 4mo 5mo 6mo 9mo1yrMat urit y2 yr3yr4yr5yr10yr 15yr 20yrUN-15J18T erm Structures, 19811716Pur e discount r a t e, %1514131211109
Colorado Tech - ADMON - mpm
Universidad VirtualAdministracin de la Cadena de Valor2.4 Realizar reflexin tema SustentabilidadEQUIPO 37Olga Nora Garca Esquivel A00372979Tatiana Vanessa Mndez Martnez A01304717Amilcar Estrada Rodrguez A01304897Octavio Navarro Daz A01307499Alejan
Colorado Tech - ADMON - mpm
Reflexin sobre el artculo de la Biblioteca Digital Sustainable Operations Management",de Paul R Kleindorfer, Kalyan Singhal, Luk N Van Wassenhove. Production andOperations Management. Muncie: Winter 2005. Vol. 14, Iss. 4; pg. 482, 11 pgsEn la actualida
Colorado Tech - ADMON - mpm
cha06369_tn07.qxd2/12/037:01 PMPage 299TECHNICAL NOTE SEVENtechnical notetechnical note sevenP R O C E S S C A PA B I L I T Y A N DS TAT I S T I C A L Q U A L I T YCONTROLAssignable variation definedCommon variation definedVariation around Us
Colorado Tech - ADMON - mpm
Universidad VirtualAdministracin de la Cadena de Valor2.4 Realizar reflexin tema SustentabilidadEQUIPO 37Olga Nora Garca Esquivel A00372979Tatiana Vanessa Mndez Martnez A01304717Amilcar Estrada Rodrguez A01304897Octavio Navarro Daz A01307499Alejan
Colorado Tech - ADMON - mpm
LOOKING FOR.SOLUTIONSMANUAL ORTEST BANK ?OVER 10,000 TITLESAVALABLE!Student.Plus@Hotmail.Comwww.student-plus.netThe List Below Updated On 24, JULY, 2010How To Order? Email UsEmail us at STUDENT.PLUS@HOTMAIL.COM asking for the teaching or studyi