Assessing the cost of Outsourcing: Efficiency, Effectiveness and Risk

Size: px
Start display at page:

Download "Assessing the cost of Outsourcing: Efficiency, Effectiveness and Risk"

Transcription

1 Assssig th cost of Outsourcig: Efficicy, Effctivss ad Risk Todd Littl Ladark Graphics Abstract Offshor outsourcig is a popular approach for copais lookig to rduc softwar dvlopt costs. W hav foud that th full pictur of cost ad valu rquirs lookig at fficicy, ffctivss, ad risk. 1. Itroductio O of th challgig issus with outsourcig is dtriig how to asur succss. Ladark Graphics has b ivolvd i offshor dvlopt for 5 yars ad has wrstld with this issu for so ti. W hav co to th ralizatio that th full pictur of cost ad valu rquirs lookig at fficicy, ffctivss, ad risk. particularly wh lookig to offshor providrs, is dtriig which projcts to outsourc ad how to balac a ovrall projct portfolio. 2. Efficicy At first w wr focusd o th pur cooics of th dvlopt costs, i.. fficicy. Th sigly low costs for offshor dvlopt ad it look attractiv as a as to rduc costs. Tabl 1 idicats our xpric with th rlativ cost for a dvlopr for svral coutris. TABLE 1 Coutry Approx Cost rlativ to US US 1.00 Caada 0.85 Idia 0.40 Pakista 0.25 Lookig just at th rlativ costs, it is coo for th dia to spout out figurs such as outsourcig ca rduc dvlopt costs by 75%. Most aalyst groups such as Gartr or Forrstr ar far or ralistic ad a or coo figur quotd is that outsourcig could rduc dvlopt costs to 75%. Likwis, w ralizd that cost pr dvlopr was a rlativly aiglss tric o its ow. What is rally of itrst is th cost to dlivr th projct. Two additioal paratrs ifluc th projct cost: th fficicy of th dvloprs ad th itral aagt ovrhad rquird for th projct. Usig ths thr variabls w stablishd a first ordr idicatio of th outsourcig savigs (s appdix for a or dtaild drivatio). c + Savigs% = 1 Whr = OUTSOURCE fficicy = Equivalt INTERNAL days pr OUTSOURCE day = INTERNAL Maagt ovrhad = INTERNAL days to gt 1 OUTSOURCE day c = OUTSOURCE rlativ cost = cost pr OUTSOURCE day / Cost pr INTERNAL day As a forward lookig tric, this ratio has sigificat ucrtaity. W v s fficicy () rag fro 0.10 to as high as 1.0, but th fficicy ca oly rally b stiatd sic w do t rally kow how log this would hav tak had it b do itrally. To gt a aigful tric, it is iprativ that th fficicy () b asurd i a ar cosistt with th cost ratio (c). It is quit typical to copar cost ratios of xpricd itral dvloprs agaist quit juior outsourcd dvloprs. If that is how c is asurd th ust b asurd usig that sa copariso. It is also iportat that c b calculatd o a cosistt basis. If a ix of offshor ad oshor dvloprs is utilizd, th cost should b a fully burdd bldd rat ad th itral cost should b th icrtal cost of a dvlopr. I our xpric aagt ovrhad () tds to ru about 0.05 to This aagt ovrhad should b cosidrd as th icrtal activity that would ot b rquird if th work wr to b do itrally. A high aagt ovrhad ca sigificatly rduc or wip out ay pottial savigs. O ight thik that or aagt ovrhad

2 would rsult i highr fficicy. What w hav foud is a bit of a ivrs highr fficicy allows a lowr aagt ovrhad. This happs bcaus wh th offshor ta is fuctioig fficitly thy do ot rquir uch aagt ovrsight. Agai, whil thr is ucrtaity i w hav foud that asurig for prior projcts is a usful idicator for futur projcts. I Tabl 2 w show a sall sapl of projcts fro so of our arly outsourcig projcts. Tabl 2 c Savig s Dvlopt % Tstig % Tstig % Tstig % Dvlopt % Dvlopt % Tstig % Dvlopt % Tstig % Tstig % Tstig % Avrag 33% 3. Effctivss Whil fficicy is lookig at th cost sid of th quatio, ffctivss is or focusd o th valu that th dvlopt dlivrs. Th valu is driv by th ability to dlivr th product with th faturs that ar dd at th ti that thy ar dd. W hav ot attptd to quatify a asur of ffctivss. Howvr, w hav idtifid svral drivrs that ca hav a ajor ipact o ovrall ffctivss ad valu gratio. 3.1 Projct Dlay A dlay or arly dlivry of th product could hav a sigificat ipact o th valu dlivrd. If th priary focus is o cost savigs, th thr is a vry ral possibility that th projct could hav dlays rsultig i a pottial valu loss which could b svral tis gratr tha ay cost savigs. O th othr had it is possibl that a wll fuctioig ad fficit outsourcr could produc rsults fastr tha could b dlivrd itrally. 3.2 Valu Cratio It is wll kow that th softwar faturs that provid axiu valu ar rarly wll kow at th bgiig of th projct. Faturs volv ovr th dvlopt cycl. Offshor dvlopt brigs two ajor challgs to th issu of scop chag aagt. First, th rot couicatio aks it or difficult to gt rapid ad tily fdback as chags ar idtifid. Th scod, prhaps or iportat issu, is that ofttis faturs ar discovrd via rich dialogu btw usrs of th syst ad th dvloprs. Th liitd couicatio chals availabl oft iss this opportuity ad th rsult is a dlivrd product with lss valu tha could hav b dvlopd itrally. 3.3 Valu Dlta du to Quality Poor quality is aothr as by which valu ca b rducd. So outsourcrs ar abl to hav vry high quality stadards ad as a rsult oft product rsults suprior to what is routily dvlopd itrally. 3.4 Valu Dlta du to Local Prsc So copais ar ralizig that thr is valu to b gaid fro havig a local prsc i a particular ara. This prsc ca srv to op up arkts which ar othrwis difficult to ptrat. Additioally, sotis local talt udrstads th local busiss ad as a rsult brigs valu by surfacig pottial opportuitis. O th othr had, thr is a pottial for valu loss if a outsourcr is idtifid as big fro a locatio which is viwd gativly by othr ajor arkts. 4.0 Risk Th savigs that ar obtaid by outsourcig ar ot fr of risk. Thr ar svral lts of risk that should b cosidrd ad th savigs asurd agaist th risk xposur. Risks could ipact ithr costs or thy could also ipact valu. Th t xposur is giv by th su of th probabilitis of ach risk ad th idividual xposur. Exposur = p E i i Th followig risks ar likly to b of cocr with a outsourcig projct, particularly with a offshor projct: 4.1 Tchical Risks Tchical risk is a asur of th fit btw th projct ad th skills ad capabilitis of th outsourcr.

3 It ca also b prst if thr is risk associatd with th ability of th custor to abl to dal with a outsourcr. To a crtai xtt th tchical risk is th priary drivr of th ucrtaity i th fficicy tiod arlir. So of th qustios to b askd iclud: Dos th outsourcig copay hav th tchical skills cssary to do th work? Dos th outsourcr udrstad th busiss doai? Ca th projct rquirts ad spcificatios b dfid to t th capabilitis of th outsourcr? Dos th outsourcig copay produc high quality rsults? 4.2 Political Risk May of today s outsourcrs ar i dvlopig atios. So of ths atios do ot hav th ost stabl of govrts. Ladark first startd workig with a Pakista outsourcr i Th trrorist attacks i Nw York had a hug ipact o our ability to cotiu busiss. Prior to that ti w had b abl to brig a ubr of popl fro Pakista to th US for traiig. For quit so ti aftr th attacks it was arly ipossibl to gt visas. Furthror, our copay placd a oratoriu o travl to Pakista du to trrorist attacks thr. Fortuatly w wr abl to gt th first group traid ad hav had rasoabl succss with this arragt, but it did liit th projcts ad activitis that w could outsourc. 4.3 Outsourcr Risk What is th cotigcy if th outsourcr gos out of busiss? Dos th outsourcr hav high ploy turovr? W hav had xpric with larg copais ad with sallr copais. Eploy turovr has b cosidrably highr at th largr copais. For our busiss this is a ajor cosidratio sic th larig ti is quit log. 4.5 Scurity ad Itllctual Proprty Risk Th cultur ad laws of ay outsourcig coutris as thy rlat to itllctual proprty ar quit diffrt fro that of wstr coutris. Ev wh th laws clai to hoor itllctual proprty thr ca b a ajor issu tryig to forc th laws. Host istaks ca also b ad by th outsourcr. Thr is a risk that th outsourcr will itroduc sothig ito th product which will xpos th copay to itllctual proprty challgs ad by a third party. Th rality is that thr is risk that itllctual proprty ca b coproisd ad a prudt copay will try to udrstad that risk. 5. Coclusio W hav had sufficit xpric with offshor outsourcig to kow that thr ar opportuitis for cost rductio. W hav had vry good luck with Caada whr w ar abl to sstially gt o-foro fficicy ad rap th cost bfit with alost o risk. W hav had varid succss with outsourcig to Idia ad Pakistai providrs. So projcts hav b gratly succssful whil othrs hav ot. Whil ach additioal projct tachs us sothig w, it is fair to say that th risk profil is ivrsly proportioal to th cost profil. Th challg is to fid thos projcts i our portfolio for which th cost savigs ar sufficit to ovrco th additioal risk xposur. Th odl i Figur 1 that Goffry Moor publishd i Dalig with Darwi is usful to charactriz projcts by thir product lifcycl. Thos projcts that ar ot particularly arkt diffrtiatig or issio critical ar ost aabl to outsourcig sic cost rductio is a dsird objctiv for thos projcts. 4.4 Fiacial Risk Ovr th log tr a global labor pool should rsult i a qualizatio of wags ad th cost diffrtial should largly disappar. Coutris such as Idia ar xpricig 15% aual salary iflatio. Currcy fluctuatios ca also hav a ipact o a global labor pool. I 2001 th Caadia dollar was about $0.60 USD. This ad Caada look lik a vry attractiv locatio. Today th Caadia dollar is about $0.85 USD so it has lost so if its cost advatag.

4 Figur 1 Ivt Dploy Markt Diffrtiatig Offload Maag Missio Critical A furthr tool for projct slctio is show i Figur 2 as a 4-quadrat graph showig probability of succss o th y-axis ad cost of failur o th x-axis. I gral w hav lookd to outsourc projcts that ar i th uppr lft quadrat whr w bliv that th probability of succss is high ad th cost of failur is low. Ths idas ar coo ss, but ot always coo practic. Figur 2 Outsourc Cosid Probability of Succss Cosid Avoid Riskd Cost of Failur

5 Appdix: Cost Savigs fro Outsourcig Noclatur: i Expctd Nubr of staff rquird if projct do Ihous c i Avrag burdd cost of Ihous staff f Nubr of Offshor staff rquird c f Avrag burdd cost of Offshor staff Nubr of Oshor Outsourc staff rquird c Avrag burdd cost of Oshor Outsourc staff Aout of Icrtal Maagt Ovrhad c Avrag burdd cost of Maagt Ovrhad Cost Savigs Savigs % = Cost Ihous Cost Savigs = Expctd Cost Ihous Cost Outsourc - Cost of Ovrhad Cost Outsourc = Cost Offshor + Cost Oshor Expctd Cost Ihous = i c i Cost Offshor = f c f Cost Oshor = c c Bldd Cost ratio = [f c f + (1-f) c ]/c i Outsourc Efficicy = i /( f + ) f Fractio of Outsourc staff Offshor = f /( f + ) Maagt Ovrhad factor = /( f + ) Cost of Ovrhad = c cii f Savigs% = f c i i c c + ci Savigs% = 1 if c c i, th c + Savigs% = 1

A Portfolio Risk Management Perspective of Outsourcing

A Portfolio Risk Management Perspective of Outsourcing A Portolio Risk Maagt Prsptiv o Outsourig Todd Littl, Ladark Graphis O o th hallgig issus with outsourig, partiularly wh lookig to oshor providrs, is dtriig whih projts to outsour ad how to bala a ovrall

More information

Problem Set 6 Solutions

Problem Set 6 Solutions 6.04/18.06J Mathmatics for Computr Scic March 15, 005 Srii Dvadas ad Eric Lhma Problm St 6 Solutios Du: Moday, March 8 at 9 PM Problm 1. Sammy th Shar is a fiacial srvic providr who offrs loas o th followig

More information

BASIC DEFINITIONS AND TERMINOLOGY OF SOILS

BASIC DEFINITIONS AND TERMINOLOGY OF SOILS 1 BASIC DEFINITIONS AND TERMINOLOGY OF SOILS Soil i a thr pha atrial hich coit of olid particl hich ak up th oil klto ad void hich ay b full of atr if th oil i aturatd, ay b full of air if th oil i dry,

More information

A Fuzzy Inventory System with Deteriorating Items under Supplier Credits Linked to Ordering Quantity

A Fuzzy Inventory System with Deteriorating Items under Supplier Credits Linked to Ordering Quantity JOURNAL OF INFORMAION SCIENCE AND ENGINEERING 6, 3-53 () A Fuzzy Ivtory Syst with Dtrioratig Its udr Supplir Crdits Likd to Ordrig Quatity LIANG-YUH OUYANG, JINN-SAIR ENG AND MEI-CHUAN CHENG 3 Dpartt of

More information

GROUP MEDICAL INSURANCE PROPOSAL FORM GROUP MEDICAL INSURANCE PROPOSAL FORM

GROUP MEDICAL INSURANCE PROPOSAL FORM GROUP MEDICAL INSURANCE PROPOSAL FORM Call us: 920012331 www.acig.com.sa Allid Cooprativ Isurac Group (ACIG) شركة املجموعة املتحدة للتاأمني التعاوين ) أ سيج( GROUP MEDICAL INSURANCE GROUP MEDICAL INSURANCE Clit Dtails: - GROUP MEDICAL INSURANCE

More information

Allocating Redundancy to Critical Information Technology Functions for Disaster Recovery

Allocating Redundancy to Critical Information Technology Functions for Disaster Recovery IT isastr Rcovry Allocatig Rdudacy to ritical Iforatio Tchology Fuctios for isastr Rcovry Bja B.. Shao W. P. ary School of Busiss Arizoa Stat Uivrsity B.Shao@asu.du ABSTRAT I th prst twork cooy, busisss

More information

CLOUD COMPUTING BUSINESS MODELS

CLOUD COMPUTING BUSINESS MODELS da MODLS Atlir d l iova CLOUD COMPUTING MODLS Chair coomi d l iova - Mourad Zroukhi C d chrch Écoomi t Maagmt Uivrsité d Chair coomi d l iova - da MODLS AGNDA Cloud Computig : What is it? Cloud Dploymt

More information

TIME VALUE OF MONEY: APPLICATION AND RATIONALITY- AN APPROACH USING DIFFERENTIAL EQUATIONS AND DEFINITE INTEGRALS

TIME VALUE OF MONEY: APPLICATION AND RATIONALITY- AN APPROACH USING DIFFERENTIAL EQUATIONS AND DEFINITE INTEGRALS MPRA Muich Prsoal RPEc Archiv TIME VALUE OF MONEY: APPLICATION AND RATIONALITY- AN APPROACH USING DIFFERENTIAL EQUATIONS AND DEFINITE INTEGRALS Mahbub Parvz Daffodil Itratioal Uivrsy 6. Dcmbr 26 Oli at

More information

PREFERRED LIFE INSURANCE NORTH AMERICA

PREFERRED LIFE INSURANCE NORTH AMERICA PREFERRED LIFE INSURANCE NORTH AMERICA Dat: Spt, 2011 Ditr Gaubatz Agda 1. Copt 2. History 3. Data 4. Futur 1 Copt No-prfrrd plas Normal mortality risk valuatio pross P r v a l ^ i r a s Issud at stadard

More information

Econ 371: Answer Key for Problem Set 1 (Chapter 12-13)

Econ 371: Answer Key for Problem Set 1 (Chapter 12-13) con 37: Answr Ky for Problm St (Chaptr 2-3) Instructor: Kanda Naknoi Sptmbr 4, 2005. (2 points) Is it possibl for a country to hav a currnt account dficit at th sam tim and has a surplus in its balanc

More information

CHAPTER 4: NET PRESENT VALUE

CHAPTER 4: NET PRESENT VALUE EMBA 807 Corporate Fiace Dr. Rodey Boehe CHAPTER 4: NET PRESENT VALUE (Assiged probles are, 2, 7, 8,, 6, 23, 25, 28, 29, 3, 33, 36, 4, 42, 46, 50, ad 52) The title of this chapter ay be Net Preset Value,

More information

Category 7: Employee Commuting

Category 7: Employee Commuting 7 Catgory 7: Employ Commuting Catgory dscription This catgory includs missions from th transportation of mploys 4 btwn thir homs and thir worksits. Emissions from mploy commuting may aris from: Automobil

More information

Question 3: How do you find the relative extrema of a function?

Question 3: How do you find the relative extrema of a function? ustion 3: How do you find th rlativ trma of a function? Th stratgy for tracking th sign of th drivativ is usful for mor than dtrmining whr a function is incrasing or dcrasing. It is also usful for locating

More information

ELASTIC MODULII AND THEIR RELATIONSHIP BY CONSIDERING ANY ARBITRARY ANGLE

ELASTIC MODULII AND THEIR RELATIONSHIP BY CONSIDERING ANY ARBITRARY ANGLE Itratioal Joural of Mchaical girig ad Tcholog (IJMT Volum 7, Issu, March-April 016, pp. 33-38, Articl ID: IJMT_07_0_004 Availabl oli at http://www.iam.com/ijmt/issus.asp?jtp=ijmt&vtp=7&itp= Joural Impact

More information

FACULTY SALARIES FALL 2004. NKU CUPA Data Compared To Published National Data

FACULTY SALARIES FALL 2004. NKU CUPA Data Compared To Published National Data FACULTY SALARIES FALL 2004 NKU CUPA Data Compard To Publishd National Data May 2005 Fall 2004 NKU Faculty Salaris Compard To Fall 2004 Publishd CUPA Data In th fall 2004 Northrn Kntucky Univrsity was among

More information

union scholars program APPLICATION DEADLINE: FEBRUARY 28 YOU CAN CHANGE THE WORLD... AND EARN MONEY FOR COLLEGE AT THE SAME TIME!

union scholars program APPLICATION DEADLINE: FEBRUARY 28 YOU CAN CHANGE THE WORLD... AND EARN MONEY FOR COLLEGE AT THE SAME TIME! union scholars YOU CAN CHANGE THE WORLD... program AND EARN MONEY FOR COLLEGE AT THE SAME TIME! AFSCME Unitd Ngro Collg Fund Harvard Univrsity Labor and Worklif Program APPLICATION DEADLINE: FEBRUARY 28

More information

Logo Design/Development 1-on-1

Logo Design/Development 1-on-1 Logo Dsign/Dvlopmnt 1-on-1 If your company is looking to mak an imprssion and grow in th marktplac, you ll nd a logo. Fortunatly, a good graphic dsignr can crat on for you. Whil th pric tags for thos famous

More information

Medicaid Eligibility in Michigan: 40 Ways

Medicaid Eligibility in Michigan: 40 Ways C E N T E R F O R H E A LT H C A R E R E S E A R C H & T R A N S F O R M AT I O N Policy Papr July 2012 Mdicaid Eligibility i Michiga: 40 Ways 503 id 1 U Pla F irst! hil d k Wor aivr Childr s W N wb to

More information

ECONOMICS. Calculating loan interest no. 3.758

ECONOMICS. Calculating loan interest no. 3.758 F A M & A N H S E E S EONOMS alculatig loa iterest o. 3.758 y Nora L. Dalsted ad Paul H. Gutierrez Quick Facts... The aual percetage rate provides a coo basis to copare iterest charges associated with

More information

How to use what you OWN to reduce what you OWE

How to use what you OWN to reduce what you OWE How to use what you OWN to reduce what you OWE Maulife Oe A Overview Most Caadias maage their fiaces by doig two thigs: 1. Depositig their icome ad other short-term assets ito chequig ad savigs accouts.

More information

QUANTITATIVE METHODS CLASSES WEEK SEVEN

QUANTITATIVE METHODS CLASSES WEEK SEVEN QUANTITATIVE METHODS CLASSES WEEK SEVEN Th rgrssion modls studid in prvious classs assum that th rspons variabl is quantitativ. Oftn, howvr, w wish to study social procsss that lad to two diffrnt outcoms.

More information

REPORT' Meeting Date: April 19,201 2 Audit Committee

REPORT' Meeting Date: April 19,201 2 Audit Committee REPORT' Mting Dat: April 19,201 2 Audit Committ For Information DATE: March 21,2012 REPORT TITLE: FROM: Paul Wallis, CMA, CIA, CISA, Dirctor, Intrnal Audit OBJECTIVE To inform Audit Committ of th rsults

More information

Rural and Remote Broadband Access: Issues and Solutions in Australia

Rural and Remote Broadband Access: Issues and Solutions in Australia Rural and Rmot Broadband Accss: Issus and Solutions in Australia Dr Tony Warrn Group Managr Rgulatory Stratgy Tlstra Corp Pag 1 Tlstra in confidnc Ovrviw Australia s gographical siz and population dnsity

More information

Adverse Selection and Moral Hazard in a Model With 2 States of the World

Adverse Selection and Moral Hazard in a Model With 2 States of the World Advrs Slction and Moral Hazard in a Modl With 2 Stats of th World A modl of a risky situation with two discrt stats of th world has th advantag that it can b natly rprsntd using indiffrnc curv diagrams,

More information

Teacher s Hourly Wages: A Comparison Across Michigan Schools and Alternative Occupations

Teacher s Hourly Wages: A Comparison Across Michigan Schools and Alternative Occupations Policy Rport 24 Ju, 2005 achr Wag: A Compario Acro Michiga School Altrativ Occupatio Dbbi Harri, Sior Rarch Aociat Maria BuriaFitzgrald, Rarch Aociat h Educatio Policy Ctr at Michiga Stat Uivrity Ovrviw:

More information

LG has introduced the NeON 2, with newly developed Cello Technology which improves performance and reliability. Up to 320W 300W

LG has introduced the NeON 2, with newly developed Cello Technology which improves performance and reliability. Up to 320W 300W Cllo Tchnology LG has introducd th NON 2, with nwly dvlopd Cllo Tchnology which improvs prformanc and rliability. Up to 320W 300W Cllo Tchnology Cll Connction Elctrically Low Loss Low Strss Optical Absorption

More information

Establishing Wireless Conference Calls Under Delay Constraints

Establishing Wireless Conference Calls Under Delay Constraints Establishing Wirlss Confrnc Calls Undr Dlay Constraints Aotz Bar-Noy aotz@sci.brooklyn.cuny.du Grzgorz Malwicz grg@cs.ua.du Novbr 17, 2003 Abstract A prvailing fatur of obil tlphony systs is that th cll

More information

by John Donald, Lecturer, School of Accounting, Economics and Finance, Deakin University, Australia

by John Donald, Lecturer, School of Accounting, Economics and Finance, Deakin University, Australia Studnt Nots Cost Volum Profit Analysis by John Donald, Lcturr, School of Accounting, Economics and Financ, Dakin Univrsity, Australia As mntiond in th last st of Studnt Nots, th ability to catgoris costs

More information

IBM Healthcare Home Care Monitoring

IBM Healthcare Home Care Monitoring IBM Halthcar Hom Car Monitoring Sptmbr 30th, 2015 by Sal P. Causi, P. Eng. IBM Halthcar Businss Dvlopmnt Excutiv scausi@ca.ibm.com IBM Canada Cloud Computing Tigr Tam Homcar by dfinition 1. With a gnsis

More information

Approximate Counters for Flash Memory

Approximate Counters for Flash Memory Approximat Coutrs for Flash Mmory Jack Cichoń ad Wojcich Macya Istitut of Mathmatics ad Computr Scic Wrocław Uivrsity of Tchology, Polad Abstract Flash mmory bcoms th a vry popular storag dvic Du to its

More information

Intermediate Macroeconomic Theory / Macroeconomic Analysis (ECON 3560/5040) Final Exam (Answers)

Intermediate Macroeconomic Theory / Macroeconomic Analysis (ECON 3560/5040) Final Exam (Answers) Intrmdiat Macroconomic Thory / Macroconomic Analysis (ECON 3560/5040) Final Exam (Answrs) Part A (5 points) Stat whthr you think ach of th following qustions is tru (T), fals (F), or uncrtain (U) and brifly

More information

B-285141. April 21, 2000. The Honorable Charles B. Rangel Ranking Minority Member Committee on Ways and Means House of Representatives

B-285141. April 21, 2000. The Honorable Charles B. Rangel Ranking Minority Member Committee on Ways and Means House of Representatives Unit Stats Gnral Accounting Offic Washington, DC 20548 Halth, Eucation, an Human Srvics Division B-285141 April 21, 2000 Th Honorabl Charls B. Rangl Ranking Minority Mmbr Committ on Ways an Mans Hous of

More information

What Is Required? You need to find the final temperature of an iron ring heated by burning alcohol. 4.95 g

What Is Required? You need to find the final temperature of an iron ring heated by burning alcohol. 4.95 g Calculatig Theral Eergy i a Bob Calorieter (Studet textbook page 309) 31. Predict the fial teperature of a 5.00 10 2 g iro rig that is iitially at 25.0 C ad is heated by cobustig 4.95 g of ethaol, C 2

More information

CEO Björn Ivroth. Oslo, 29 April 2015. Q1 2015 Presentation

CEO Björn Ivroth. Oslo, 29 April 2015. Q1 2015 Presentation CEO Björ Ivroh Oslo, 29 April 2015 2015 Prsaio Par I `15 Rpor o Highlighs o Group o Sgms o Fiac Par II Mark oulook Summary Appdix 2015 prsaio 2 Highlighs Lyg Bidco AS has acquird 88 % of h shars o No icludig

More information

Saving Through Trailer Tracking

Saving Through Trailer Tracking SEE WHAT S HAPPENING. CUT RENTAL COSTS. Losing track of rntal trailrs is on of th worst things that can happn to you, lading to unncssary and costly rntal chargs. A Brkshir Hathaway Copany A Brkshir Hathaway

More information

Defining Retirement Success for Defined Contribution Plan Sponsors: Begin with the End in Mind

Defining Retirement Success for Defined Contribution Plan Sponsors: Begin with the End in Mind Dfining Rtirmnt Succss for Dfind Contribution Plan Sponsors: Bgin with th End in Mind David Blanchtt, CFA, CFP, AIFA Had of Rtirmnt Rsarch Morningstar Invstmnt Managmnt david.blanchtt@morningstar.com Nathan

More information

An Optimal Algorithm for On-line Bipartite Matching. University of California at Berkeley & International Computer Science Institute

An Optimal Algorithm for On-line Bipartite Matching. University of California at Berkeley & International Computer Science Institute A Optimal Algorithm for O-li Bipartit Matchig Richard M. Karp Uivrsity of Califoria at Brkly & Itratioal Computr Scic Istitut Umsh V. Vazirai Uivrsity of Califoria at Brkly Vijay V. Vazirai Corll Uivrsity

More information

Lesson 17 Pearson s Correlation Coefficient

Lesson 17 Pearson s Correlation Coefficient Outlie Measures of Relatioships Pearso s Correlatio Coefficiet (r) -types of data -scatter plots -measure of directio -measure of stregth Computatio -covariatio of X ad Y -uique variatio i X ad Y -measurig

More information

Free ACA SOLUTION (IRS 1094&1095 Reporting)

Free ACA SOLUTION (IRS 1094&1095 Reporting) Fr ACA SOLUTION (IRS 1094&1095 Rporting) Th Insuranc Exchang (301) 279-1062 ACA Srvics Transmit IRS Form 1094 -C for mployrs Print & mail IRS Form 1095-C to mploys HR Assist 360 will gnrat th 1095 s for

More information

Foreign Exchange Markets and Exchange Rates

Foreign Exchange Markets and Exchange Rates Microconomics Topic 1: Explain why xchang rats indicat th pric of intrnational currncis and how xchang rats ar dtrmind by supply and dmand for currncis in intrnational markts. Rfrnc: Grgory Mankiw s Principls

More information

Performance Evaluation

Performance Evaluation Prformanc Evaluation ( ) Contnts lists availabl at ScincDirct Prformanc Evaluation journal hompag: www.lsvir.com/locat/pva Modling Bay-lik rputation systms: Analysis, charactrization and insuranc mchanism

More information

Dehumidifiers: A Major Consumer of Residential Electricity

Dehumidifiers: A Major Consumer of Residential Electricity Dhumidifirs: A Major Consumr of Rsidntial Elctricity Laurn Mattison and Dav Korn, Th Cadmus Group, Inc. ABSTRACT An stimatd 19% of U.S. homs hav dhumidifirs, and thy can account for a substantial portion

More information

1. Online Event Registration 2. Event Marketing 3. Automated Event Progress Reports 4. Web based Point of Sale Terminal 5. Email Marketing System

1. Online Event Registration 2. Event Marketing 3. Automated Event Progress Reports 4. Web based Point of Sale Terminal 5. Email Marketing System 2 t v E S d Ivit 3 M o it o r ro la 1 r g 1 Oli Evt Rgitratio 2 Evt Marktig 3 Automatd Evt rogr Rport 4 Wb bad oit of Sal Trmial 5 Email Marktig Sytm ag 1 of 6 Copyright 2004-2011 myvillag oli Evt Maagmt

More information

SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES

SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES Read Sectio 1.5 (pages 5 9) Overview I Sectio 1.5 we lear to work with summatio otatio ad formulas. We will also itroduce a brief overview of sequeces,

More information

http://www.wwnorton.com/chemistry/tutorials/ch14.htm Repulsive Force

http://www.wwnorton.com/chemistry/tutorials/ch14.htm Repulsive Force ctivation nrgis http://www.wwnorton.com/chmistry/tutorials/ch14.htm (back to collision thory...) Potntial and Kintic nrgy during a collision + + ngativly chargd lctron cloud Rpulsiv Forc ngativly chargd

More information

Lecture 3: Diffusion: Fick s first law

Lecture 3: Diffusion: Fick s first law Lctur 3: Diffusion: Fick s first law Today s topics What is diffusion? What drivs diffusion to occur? Undrstand why diffusion can surprisingly occur against th concntration gradint? Larn how to dduc th

More information

916-875-6730. We re your local sewer utility! Sewer Problems? Did You Know? How You Can Help Keep Your Sewer Flowing

916-875-6730. We re your local sewer utility! Sewer Problems? Did You Know? How You Can Help Keep Your Sewer Flowing SASD District Brochur 4 pan Outsid hi-rs.pdf 5/4/ 9:47 A SEWER AINTENANE DIAGRA TPIAL FRONT ARD SEWER ONFIGURATION din um din anout District Swr anout W r your oca swr utiity! Utiity Easmnt t r L aintaind

More information

Development of Financial Management Reporting in MPLS

Development of Financial Management Reporting in MPLS 1 Dvlopmnt of Financial Managmnt Rporting in MPLS 1. Aim Our currnt financial rports ar structurd to dlivr an ovrall financial pictur of th dpartmnt in it s ntirty, and thr is no attmpt to provid ithr

More information

Lecture 4: Cauchy sequences, Bolzano-Weierstrass, and the Squeeze theorem

Lecture 4: Cauchy sequences, Bolzano-Weierstrass, and the Squeeze theorem Lecture 4: Cauchy sequeces, Bolzao-Weierstrass, ad the Squeeze theorem The purpose of this lecture is more modest tha the previous oes. It is to state certai coditios uder which we are guarateed that limits

More information

Parallel and Distributed Programming. Performance Metrics

Parallel and Distributed Programming. Performance Metrics Paralll and Distributd Programming Prformanc! wo main goals to b achivd with th dsign of aralll alications ar:! Prformanc: th caacity to rduc th tim to solv th roblm whn th comuting rsourcs incras;! Scalability:

More information

Department of Natural Resources

Department of Natural Resources Dpartt o Natura Rsourcs DIVISION OF AGRICULTURE Northr Rio Oic 1648 S. Cusha St. #201 Fairbas, Aasa 99701-6206 Mai: 907.328.190 Far to Schoo Cha Ectroic Appicatio Istructios 1. Pas i out th ctroic survy

More information

Numerical and Experimental Study on Nugget Formation in Resistance Spot Welding for High Strength Steel Sheets in Automobile Bodies

Numerical and Experimental Study on Nugget Formation in Resistance Spot Welding for High Strength Steel Sheets in Automobile Bodies rasactios of JWRI, ol.38 (9), No. rasactios of JWRI, ol.38 (9), No. Numrical ad Exprimtal Study o Nuggt Formatio i Rsistac Spot Wldig for High Strgth Stl Shts i Automobil Bodis MA Nishu* ad MURAKAWA Hidkazu**

More information

FM4 CREDIT AND BORROWING

FM4 CREDIT AND BORROWING FM4 CREDIT AND BORROWING Whe you purchase big ticket items such as cars, boats, televisios ad the like, retailers ad fiacial istitutios have various terms ad coditios that are implemeted for the cosumer

More information

Host Country: Czech Republic Other parties: Denmark Expected ERUs in 2008 2012: ~ 1,250,000 tco 2

Host Country: Czech Republic Other parties: Denmark Expected ERUs in 2008 2012: ~ 1,250,000 tco 2 Projct CZ1000033: Nitrous Oxid Emission Rductions at Lovochmi Host Country: Czch Rpublic Othr partis: Dnmark Expctd ERUs in 2008 2012: ~ 1,250,000 tco 2 Th projct at Lovochmi in th Czch Rpublic aims to

More information

Fleet vehicles opportunities for carbon management

Fleet vehicles opportunities for carbon management Flt vhicls opportunitis for carbon managmnt Authors: Kith Robrtson 1 Dr. Kristian Stl 2 Dr. Christoph Hamlmann 3 Alksandra Krukar 4 Tdla Mzmir 5 1 Snior Sustainability Consultant & Lad Analyst, Arup 2

More information

Cisco Data Virtualization

Cisco Data Virtualization Cisco Data Virtualization Big Data Eco-systm Discussion with Bloor Group Bob Ev, David Bsmr July 2014 Cisco Data Virtualization Backgroundr Cisco Data Virtualization is agil data intgration softwar that

More information

CHAPTER 3 THE TIME VALUE OF MONEY

CHAPTER 3 THE TIME VALUE OF MONEY CHAPTER 3 THE TIME VALUE OF MONEY OVERVIEW A dollar i the had today is worth more tha a dollar to be received i the future because, if you had it ow, you could ivest that dollar ad ear iterest. Of all

More information

AP Calculus AB 2008 Scoring Guidelines

AP Calculus AB 2008 Scoring Guidelines AP Calculus AB 8 Scoring Guidlins Th Collg Board: Conncting Studnts to Collg Succss Th Collg Board is a not-for-profit mmbrship association whos mission is to connct studnts to collg succss and opportunity.

More information

at 10 knots to avoid the hurricane, what could be the maximum CPA? 59 miles - 54 nm STEP 1 Ship s Speed Radius (e-r) 10 k - 1.0 nm every 6 minutes

at 10 knots to avoid the hurricane, what could be the maximum CPA? 59 miles - 54 nm STEP 1 Ship s Speed Radius (e-r) 10 k - 1.0 nm every 6 minutes :1 Navigatio :1 Gal 1 1 1 Rf: P, Huica You a udway o cous T ad you axiu spd is 1 kots. Th y of a huica bas 1 T, ils fo you positio. Th huica is ovig towads T at 1 kots. If you auv at 1 kots to avoid th

More information

Chad Saunders 1, Richard E Scott 2

Chad Saunders 1, Richard E Scott 2 Chad Sauds 1, Richad E Sco 2 1 Haskay School of Busiss. 2 Dpam of Commuiy Halh Scics ad Family Mdici / Dico, Offic of Global -Halh Sagy. Uivsiy of Calgay, Calgay, Alba, Caada Md--Tl 2013 Luxmboug, G. D.

More information

Lecture notes: 160B revised 9/28/06 Lecture 1: Exchange Rates and the Foreign Exchange Market FT chapter 13

Lecture notes: 160B revised 9/28/06 Lecture 1: Exchange Rates and the Foreign Exchange Market FT chapter 13 Lctur nots: 160B rvisd 9/28/06 Lctur 1: xchang Rats and th Forign xchang Markt FT chaptr 13 Topics: xchang Rats Forign xchang markt Asst approach to xchang rats Intrst Rat Parity Conditions 1) Dfinitions

More information

Confidence Intervals. CI for a population mean (σ is known and n > 30 or the variable is normally distributed in the.

Confidence Intervals. CI for a population mean (σ is known and n > 30 or the variable is normally distributed in the. Cofidece Itervals A cofidece iterval is a iterval whose purpose is to estimate a parameter (a umber that could, i theory, be calculated from the populatio, if measuremets were available for the whole populatio).

More information

Best of security and convenience

Best of security and convenience Get More with Additioal Cardholders. Importat iformatio. Add a co-applicat or authorized user to your accout ad you ca take advatage of the followig beefits: RBC Royal Bak Visa Customer Service Cosolidate

More information

EFFECT OF GEOMETRICAL PARAMETERS ON HEAT TRANSFER PERFORMACE OF RECTANGULAR CIRCUMFERENTIAL FINS

EFFECT OF GEOMETRICAL PARAMETERS ON HEAT TRANSFER PERFORMACE OF RECTANGULAR CIRCUMFERENTIAL FINS 25 Vol. 3 () January-March, pp.37-5/tripathi EFFECT OF GEOMETRICAL PARAMETERS ON HEAT TRANSFER PERFORMACE OF RECTANGULAR CIRCUMFERENTIAL FINS *Shilpa Tripathi Dpartmnt of Chmical Enginring, Indor Institut

More information

A Study on the Impact of Learning Management Systems on Students of a University College in Sultanate of Oman

A Study on the Impact of Learning Management Systems on Students of a University College in Sultanate of Oman IJCSI Itratioal Joural of Computr Scic Issus, Vol. 9, Issu, No, Mah 1 ISSN (Oli): 1694-814 www.ijcsi.or 39 A Study o th Impact of Lari Maamt Systms o Studts of a Uivrsity Coll i Sulat of Oma Sarachadra

More information

Presentation on Short-Term Certificates to the CAPSEE Conference. September 18, 2014

Presentation on Short-Term Certificates to the CAPSEE Conference. September 18, 2014 Prsntation on Short-Trm Crtificats to th CAPSEE Confrnc Sptmbr 18, 2014 Th first goal of City Collgs Rinvntion is focusd on nsuring studnts arn crdntials of conomic valu Rinvntion Goals Incras numbr of

More information

Contextual Domain Knowledge for Incorporation in Data Mining Systems

Contextual Domain Knowledge for Incorporation in Data Mining Systems Contxtual Doain for Incorporation in Data Mining Systs Alx G. Büchnr *, John G. Hughs * and David A. Bll * Northrn Irland Enginring Laboratory, Univrsity of Ulstr School of Inforation and Softwar Enginring,

More information

How deductible plans work

How deductible plans work Idividual ad Family Plas DEDUCTIBLE PLANS How deductible plas work Deductible plas geerally offer lower mothly premiums i exchage for payig more out of your ow pocket for services covered by your health

More information

CHAPTER 4c. ROOTS OF EQUATIONS

CHAPTER 4c. ROOTS OF EQUATIONS CHAPTER c. ROOTS OF EQUATIONS A. J. Clark School o Enginring Dpartmnt o Civil and Environmntal Enginring by Dr. Ibrahim A. Aakka Spring 00 ENCE 03 - Computation Mthod in Civil Enginring II Dpartmnt o Civil

More information

ITIL & Service Predictability/Modeling. 2006 Plexent

ITIL & Service Predictability/Modeling. 2006 Plexent ITIL & Srvic Prdictability/Modling 1 2 Plxnt Th Company 2001 Foundd Plxnt basd on an Expandd ITIL Architctur, CMMI, ISO, and BS15000 - itdna 2003 Launchd itdna Srvic Offring 2003 John Groom, past Dirctor

More information

CHAPTER 7: Central Limit Theorem: CLT for Averages (Means)

CHAPTER 7: Central Limit Theorem: CLT for Averages (Means) CHAPTER 7: Cetral Limit Theorem: CLT for Averages (Meas) X = the umber obtaied whe rollig oe six sided die oce. If we roll a six sided die oce, the mea of the probability distributio is X P(X = x) Simulatio:

More information

OPTIONS AND FUTURES: A TECHNICAL APPRAISAL

OPTIONS AND FUTURES: A TECHNICAL APPRAISAL Pag 15 OPTIONS AND FUTURES: A TECHNICAL APPRAISAL by David J.S. Rutldg Papr prsntd to Sminar on Trading in Options: Opportunitis in th Intrnational Markt sponsord by Th Sydny Stock Exchang and Th Scuritis

More information

Soving Recurrence Relations

Soving Recurrence Relations Sovig Recurrece Relatios Part 1. Homogeeous liear 2d degree relatios with costat coefficiets. Cosider the recurrece relatio ( ) T () + at ( 1) + bt ( 2) = 0 This is called a homogeeous liear 2d degree

More information

Present Value Factor To bring one dollar in the future back to present, one uses the Present Value Factor (PVF): Concept 9: Present Value

Present Value Factor To bring one dollar in the future back to present, one uses the Present Value Factor (PVF): Concept 9: Present Value Cocept 9: Preset Value Is the value of a dollar received today the same as received a year from today? A dollar today is worth more tha a dollar tomorrow because of iflatio, opportuity cost, ad risk Brigig

More information

Learning objectives. Duc K. Nguyen - Corporate Finance 21/10/2014

Learning objectives. Duc K. Nguyen - Corporate Finance 21/10/2014 1 Lecture 3 Time Value of Moey ad Project Valuatio The timelie Three rules of time travels NPV of a stream of cash flows Perpetuities, auities ad other special cases Learig objectives 2 Uderstad the time-value

More information

THE ARITHMETIC OF INTEGERS. - multiplication, exponentiation, division, addition, and subtraction

THE ARITHMETIC OF INTEGERS. - multiplication, exponentiation, division, addition, and subtraction THE ARITHMETIC OF INTEGERS - multiplicatio, expoetiatio, divisio, additio, ad subtractio What to do ad what ot to do. THE INTEGERS Recall that a iteger is oe of the whole umbers, which may be either positive,

More information

5.4 Amortization. Question 1: How do you find the present value of an annuity? Question 2: How is a loan amortized?

5.4 Amortization. Question 1: How do you find the present value of an annuity? Question 2: How is a loan amortized? 5.4 Amortizatio Questio 1: How do you fid the preset value of a auity? Questio 2: How is a loa amortized? Questio 3: How do you make a amortizatio table? Oe of the most commo fiacial istrumets a perso

More information

PERFORMANCE EVALUATION ON THIN-WHITETOPPING

PERFORMANCE EVALUATION ON THIN-WHITETOPPING IJRET: Itratioal Joural of Rsarch i Egirig a Tchology ISSN: 2319-1163 pissn: 2321-7308 PERFORMANCE EVALUATION ON THIN-WHITETOPPING BN Skaa kumar 1, Suhas R 2, Bhava V 3 1 Assistat profssor, Civil girig

More information

Confidence Intervals for One Mean

Confidence Intervals for One Mean Chapter 420 Cofidece Itervals for Oe Mea Itroductio This routie calculates the sample size ecessary to achieve a specified distace from the mea to the cofidece limit(s) at a stated cofidece level for a

More information

Keywords Cloud Computing, Service level agreement, cloud provider, business level policies, performance objectives.

Keywords Cloud Computing, Service level agreement, cloud provider, business level policies, performance objectives. Volum 3, Issu 6, Jun 2013 ISSN: 2277 128X Intrnational Journal of Advancd Rsarch in Computr Scinc and Softwar Enginring Rsarch Papr Availabl onlin at: wwwijarcsscom Dynamic Ranking and Slction of Cloud

More information

Batteries in general: Batteries. Anode/cathode in rechargeable batteries. Rechargeable batteries

Batteries in general: Batteries. Anode/cathode in rechargeable batteries. Rechargeable batteries Bttris i grl: Bttris How -bsd bttris work A rducig (gtiv) lctrod A oxidizig (positiv) lctrod A - th ioic coductor Rchrgbl bttris Rctios ust b rvrsibl Not too y irrvrsibl sid rctios Aod/cthod i rchrgbl

More information

High Interest Rates In Ghana,

High Interest Rates In Ghana, NO. 27 IEA MONOGRAPH High Intrst Rats In Ghana, A Critical Analysis IEA Ghana THE INSTITUTE OF ECONOMIC AFFAIRS A Public Policy Institut High Intrst Rats In Ghana, A Critical Analysis 1 by DR. J. K. KWAKYE

More information

Basis risk. When speaking about forward or futures contracts, basis risk is the market

Basis risk. When speaking about forward or futures contracts, basis risk is the market Basis risk Whn spaking about forward or futurs contracts, basis risk is th markt risk mismatch btwn a position in th spot asst and th corrsponding futurs contract. Mor broadly spaking, basis risk (also

More information

Mathematical goals. Starting points. Materials required. Time needed

Mathematical goals. Starting points. Materials required. Time needed Level A1 of challege: C A1 Mathematical goals Startig poits Materials required Time eeded Iterpretig algebraic expressios To help learers to: traslate betwee words, symbols, tables, ad area represetatios

More information

BINOMIAL EXPANSIONS 12.5. In this section. Some Examples. Obtaining the Coefficients

BINOMIAL EXPANSIONS 12.5. In this section. Some Examples. Obtaining the Coefficients 652 (12-26) Chapter 12 Sequeces ad Series 12.5 BINOMIAL EXPANSIONS I this sectio Some Examples Otaiig the Coefficiets The Biomial Theorem I Chapter 5 you leared how to square a iomial. I this sectio you

More information

Predictive Modeling Data. in the ACT Electronic Student Record

Predictive Modeling Data. in the ACT Electronic Student Record Predictive Modelig Data i the ACT Electroic Studet Record overview Predictive Modelig Data Added to the ACT Electroic Studet Record With the release of studet records i September 2012, predictive modelig

More information

Traffic Flow Analysis (2)

Traffic Flow Analysis (2) Traffic Flow Analysis () Statistical Proprtis. Flow rat distributions. Hadway distributions. Spd distributions by Dr. Gang-Ln Chang, Profssor Dirctor of Traffic safty and Oprations Lab. Univrsity of Maryland,

More information

5: Introduction to Estimation

5: Introduction to Estimation 5: Itroductio to Estimatio Cotets Acroyms ad symbols... 1 Statistical iferece... Estimatig µ with cofidece... 3 Samplig distributio of the mea... 3 Cofidece Iterval for μ whe σ is kow before had... 4 Sample

More information

STRONGEST IRELAND SERIOUS ILLNESS PLAN. The. LifeProtect. Market Comparison. 19% more Heart Attack and 17% more Stroke claims.

STRONGEST IRELAND SERIOUS ILLNESS PLAN. The. LifeProtect. Market Comparison. 19% more Heart Attack and 17% more Stroke claims. LifProtct Markt Compariso Th STRONGEST SERIOUS ILLNESS PLAN IN IRELAND simplifid dfiitios will rsult i us payig out up to 19% mor Hart Attack ad 17% mor Strok claims. Sourc: Risurr Rsarch, Ju 2014 For

More information

.04. This means $1000 is multiplied by 1.02 five times, once for each of the remaining sixmonth

.04. This means $1000 is multiplied by 1.02 five times, once for each of the remaining sixmonth Questio 1: What is a ordiary auity? Let s look at a ordiary auity that is certai ad simple. By this, we mea a auity over a fixed term whose paymet period matches the iterest coversio period. Additioally,

More information

CUTTING METHODS AND CARTESIAN ROBOTS KESME YÖNTEMLERİ VE KARTEZYEN ROBOTLAR

CUTTING METHODS AND CARTESIAN ROBOTS KESME YÖNTEMLERİ VE KARTEZYEN ROBOTLAR ournal of Naval Scinc and Enginring 2009, Vol. 5, No.2, pp. 35-42 CUTTING METHODS AND CARTESIAN ROBOTS Asst. Prof. Ugur SIMSIR, Lt.Cdr. Turkish Naval Acady Mchanical Enginring Dpartnt Tuzla, Istanbul,Turkiy

More information

How to read A Mutual Fund shareholder report

How to read A Mutual Fund shareholder report Ivestor BulletI How to read A Mutual Fud shareholder report The SEC s Office of Ivestor Educatio ad Advocacy is issuig this Ivestor Bulleti to educate idividual ivestors about mutual fud shareholder reports.

More information

k e e n - n o t e s Annual Meeting, Saturday 7/13/2013 roxana fire Station 10: 00 am February 2013 Keen-Wik Association www.keen-wikonthebay.

k e e n - n o t e s Annual Meeting, Saturday 7/13/2013 roxana fire Station 10: 00 am February 2013 Keen-Wik Association www.keen-wikonthebay. Fbruary 2013 Kn-Wik Association www.kn-wikonthbay.org Annual Mting, Saturday 7/13/2013 roxana fir Station 10: 00 am Prsidnt s Lttr Fbruary 2013 k n - n o t s So far this yar, it has bn a prtty quit wintr

More information

CONSOLIDATED FINANCIAL SYSTEMS PRIVACY IMPACT ASSESSMENT EXECUTIVE SUMMARY

CONSOLIDATED FINANCIAL SYSTEMS PRIVACY IMPACT ASSESSMENT EXECUTIVE SUMMARY CONSOLIDATED FINANCIAL SYSTEMS PRIVACY IMPACT ASSESSMENT EXECUTIVE SUMMARY 2.1 Sytm Ovrviw Th CFS i a major iformatio ytm withi FOD. Th CFS ha b idtifid a a tial applicatio for Cotiuity of Opratio Pla

More information

5.4 Exponential Functions: Differentiation and Integration TOOTLIFTST:

5.4 Exponential Functions: Differentiation and Integration TOOTLIFTST: .4 Eponntial Functions: Diffrntiation an Intgration TOOTLIFTST: Eponntial functions ar of th form f ( ) Ab. W will, in this sction, look at a spcific typ of ponntial function whr th bas, b, is.78.... This

More information

Descriptive Statistics

Descriptive Statistics Descriptive Statistics We leared to describe data sets graphically. We ca also describe a data set umerically. Measures of Locatio Defiitio The sample mea is the arithmetic average of values. We deote

More information

One Goal. 18-Months. Unlimited Opportunities.

One Goal. 18-Months. Unlimited Opportunities. 18 fast-track 18-Moth BACHELOR S DEGREE completio PROGRAMS Oe Goal. 18-Moths. Ulimited Opportuities. www.ortheaster.edu/cps Fast-Track Your Bachelor s Degree ad Career Goals Complete your bachelor s degree

More information

Domain 1: Designing a SQL Server Instance and a Database Solution

Domain 1: Designing a SQL Server Instance and a Database Solution Maual SQL Server 2008 Desig, Optimize ad Maitai (70-450) 1-800-418-6789 Domai 1: Desigig a SQL Server Istace ad a Database Solutio Desigig for CPU, Memory ad Storage Capacity Requiremets Whe desigig a

More information

Question 2: How is a loan amortized?

Question 2: How is a loan amortized? Questio 2: How is a loa amortized? Decreasig auities may be used i auto or home loas. I these types of loas, some amout of moey is borrowed. Fixed paymets are made to pay off the loa as well as ay accrued

More information