Mathletics Diagnostic Test Year 6 - National Curriculum 4367 ANSWER KEY. Statistics and Probability. Suggested Time: minutes 20 marks

Size: px
Start display at page:

Download "Mathletics Diagnostic Test Year 6 - National Curriculum 4367 ANSWER KEY. Statistics and Probability. Suggested Time: minutes 20 marks"

Transcription

1 Mthltis Dignosti Tst Yr 6 - Ntionl Curriulum 4367 NSWER KEY Sttistis n Proility Suggst Tim: minuts 20 mrks Nm: Thr: Dt: ll qustions r worth on mrk. Su-strn n ontnt lortions r s on Vrsion 1.2 CR ustrlin Ntionl Mthmtis Curriulum Yr 6 Mrh 2011

2 CMSP144/145/146 Stion 1 - Chn Wht is th proility of tossing 'hs' on oin? finit B 1 C n't tll 0 1 in 2 Wht is th hn of rolling 2 on six-si i? no wy 0 1/6 C 5/6 D 1 If two outoms r qully likly, thn it is si to hv th proility of: 1/6 B unlikly 0 1/2 D 1 glss jr ontins 7 r, 10 lu, n 4 yllow mrls. If singl mrl is hosn t rnom from th jr, wht is th proility of hoosing r mrl? nswr: 1/3 or quivlnt Somtims th tul outom of n vnt iffrs to wht is xpt. For xmpl, in ustrli, roughly 1 in 4 popl wr orn ovrss. If you took smll smpl of popl, for xmpl, your fmily, it is quit likly tht your numrs r iffrnt to tht. Explin how it is possil for you to osrv outoms tht r iffrnt to th tul proility? nswr: Th xmpl is from survy suh s nsus, whih survys n ntir popultion. If you tk smll smpl from n r tht is vry homognous, lik your fmily or nighourhoo, th rsults r not likly to th sm s th ntir popultion. Thr isrtion. CMSP

3 CMSP147 Stion 2 - Dt Rprsnttion n Intrprttion Us th grph low to nswr th following qustions. Th ov grph is n xmpl of: pi hrt C two-wy tl 0 grph of tgoril vrils D tl of tgoril t From th grph ov, whih g group hs th most 2 room houss? C B 18 to 35 D 26 From th grph ov, whih g group hs th lst housing of ll typs shown? C n't tll 0 18 to 35 D 60+ Wht os th grph ov NOT tll you out thos survy? how mny in h g group C 0 who hs 4+ rooms D th g groups th numr of rooms This t oul lso rprsnt with th ky n inpnnt vrils: singl pi hrt C t n only shown in grph on wy B you n't show it ny othr wy 0 th ky is numr of rooms, th inpnnt vril is g group CMSP147

4 CMSP148 Stion 3 - Dt Rprsnttion n Intrprttion vrtising oftn shows you imgs suh s this: 8 out of 10 womn sw mrk improvmnt in thir wrinkls. Th sttmnt ov "8 out of 10 womn sw mrk improvmnt in thir wrinkls" is potntilly misling. Giv on rson why this might misling. nswr: This sttmnt is not s on linil t, ut on th opinion of th womn who my or my not hv n pi for thir thoughts. Wht g th womn wr is unknown, how long th trtmnt ws for, whthr othr trtmnt ws lso us t. Thr isrtion. Nm on thing you woul n to know to mor onvin th t is tru rprsnttion of popultion smpl? ny sttmnt tht is snsil, suh s th g n numr of womn n whr thy r gogrphilly lot t. Thr isrtion. nswr: Rfr to th grph on th nxt pg to nswr this qustion. nw rkfst rl is out in th mrkt liming tht thir rn is fr mor nutritionlly vn thn th urrnt ling rn. Wht informtion is missing from th grph whih oul mk this grph ppr to show tht th 'NEW' rn is fr ttr thn prvious rkfst rls?

5 Rfr to qustion on prvious pg. no nm ling rn OUR NEW CEREL Thr is no sl on th vrtil xis, so you n't tll wht th iffrn tully is, wht is tully ing ompr is lso not known. Thr isrtion. nswr: Somtims ompnis us sttistilly orrt t, ut mnipult th wy th t is isply to mk th rsults look mor fvourl to thir ompny. Wht is on wy th grph ov my hv n mnipult to mk th t look mor fvourl to 'OUR NEW CEREL'? nswr: Thy oul hng th strth of th vrtil xs to mk it look lik th iffrn is grtr thn it is, or it might rokn xs. Thr isrtion. Thr r two olumns for h of th rns - wht might thy rprsnt? Most likly two iffrnt nutrints or ingrints in h prout g: sugr n protin, or vitmin C or iron. ny xmpl ompring two lmnts WITHIN h prout. Thr isrtion. nswr: CMSP148

Mathletics Diagnostic Test Year 6 - National Curriculum 4367

Mathletics Diagnostic Test Year 6 - National Curriculum 4367 Mthltis ignosti Tst Yr 6 - Ntionl urriulum 4367 Numbr n lgbr Suggst Tim: 50 minuts 40 mrks Nm: Thr: t: ll qustions r worth on mrk. Sub-strn n ontnt lbortions r bs on Vrsion 1.2 R ustrlin Ntionl Mthmtis

More information

Consumer Arithmetic. F = P(1 + i) n. Mathletics Instant Workbooks. Copyright

Consumer Arithmetic. F = P(1 + i) n. Mathletics Instant Workbooks. Copyright Consumr Arithmti Stunt Book - Sris K- $ $ F = P( + i) n Mthltis Instnt Workooks Copyright Stunt Book - Sris K Contnts Topis Topi - Simpl intrst Topi 2 - Applying th simpl intrst formul Topi 3 - Vlu for

More information

Binomials and Pascal s Triangle

Binomials and Pascal s Triangle Binomils n Psl s Tringl Binomils n Psl s Tringl Curriulum R ACMMM: 0, 0, 08 ACMSM: 009 www.mthltis.om Binomils n Psl s Tringl Th Binomil Thorm sris n importnt n frquntl us formul for th lgri pnsion of

More information

I want to focus on my goals and needs

I want to focus on my goals and needs risk tolrn Stnr I wnt to fous on my gols n ns invstmnt hois 213 214 Vril Prouts: Ar Not Dposit of Any Bnk Ar Not FDIC Insur Ar Not Insur y Any Frl Govrnmnt Agny Ar Not Gurnt y Any Bnk or Svings Assoition

More information

This paper is not to be removed from the Examination Halls

This paper is not to be removed from the Examination Halls ~~FN3092 ZB 0 This ppr is not to b rmov from th Exmintion Hlls UNIVERSITY OF LONON FN3092 ZA BS grs n iploms for Gruts in Eonomis, Mngmnt, Finn n th Soil Sins, th iploms in Eonomis n Soil Sins n Ass Rout

More information

This paper is not to be removed from the Examination Halls

This paper is not to be removed from the Examination Halls ~~FN3092 ZB 0 This ppr is not to b rmov from th Exmintion Hlls UNIVERSITY OF LONON FN3092 ZB BSc grs n iploms for Gruts in Economics, Mngmnt, Finnc n th Socil Scincs, th iploms in Economics n Socil Scincs

More information

Angle Properties Task Cards

Angle Properties Task Cards Anl Proprts Ts Crs Aout Ths Ts Crs I sn ths Anl Proprts Ts Crs to hlp nour my stunts to n n mthmtl onvrstons wth vrty o thr lssmts. My stunts solutly lov ttn up n movn roun th room to nswr Ts Crs n I hop

More information

1 Manipulation for binary voters

1 Manipulation for binary voters STAT 206A: Soil Choie nd Networks Fll 2010 Mnipultion nd GS Theorem Otoer 21 Leturer: Elhnn Mossel Srie: Kristen Woyh In this leture we over mnipultion y single voter: whether single voter n lie out his

More information

Released Assessment Questions, 2017 QUESTIONS

Released Assessment Questions, 2017 QUESTIONS Relese Assessment Questions, 2017 QUESTIONS Gre 9 Assessment of Mthemtis Applie Re the instrutions elow. Along with this ooklet, mke sure you hve the Answer Booklet n the Formul Sheet. You my use ny spe

More information

Introduction. Porzio Life Sciences

Introduction. Porzio Life Sciences Introduction Healthcare compliance plays a crucial role in the success of a life sciences business. onsequently, we all have a keen interest in better understanding the healthcare compliance environment

More information

MODULE G1. INDIVIDUAL IDENTIFICATION

MODULE G1. INDIVIDUAL IDENTIFICATION 2.0 PILOT VRSION MOUL G. WOMN S MPOWRMNT IN GRIULTUR INX -WI Version Note: the information in module G1 can be captured in different ways; however there must be a way to a) identify the proper individual

More information

Chapter Four. Chapter Outline. Premises of Consumer Behavior

Chapter Four. Chapter Outline. Premises of Consumer Behavior Chptr Four Consumr Choic Chptr Outlin 1. Prfrncs. 2. Utility. 3. udgt Constrint. 4. Constrind Consumr Choic. 5. hviorl Economics. 2009 Prson Addison-Wsly. All rights rsrvd. 4-2 Prmiss of Consumr hvior

More information

Categorizing: Delineating the Phenomena

Categorizing: Delineating the Phenomena tgorizing: Dlinting th Phnomn Rviw Prption is not trnsprnt w don t just s wht is out thr. Wht w s is inflund y Th wy th visul systm is onstrutd Th ffts of ttntion Wht w hv prviously lrnd Wht w xpt to s

More information

Bottom-Line:Prices of Gold and Silver can movein range, trend for MCX Copper is sideways to negative and trend for MCX Crude looks positive.

Bottom-Line:Prices of Gold and Silver can movein range, trend for MCX Copper is sideways to negative and trend for MCX Crude looks positive. 25 Jnury, 2019 Bottom-Lin:Pris o Gol n Silvr n movin rng, trn or MCX Coppr is siwys to ngtiv n trn or MCX Cru looks positiv. MCX Gol Continuous Dily hrt: GOLD-1M - Dily 24-01-2019 Opn 32138, Hi 32151,

More information

Trigonometry - Activity 21 General Triangle Solution: Given three sides.

Trigonometry - Activity 21 General Triangle Solution: Given three sides. Nme: lss: p 43 Mths Helper Plus Resoure Set. opyright 003 rue. Vughn, Tehers hoie Softwre Trigonometry - tivity 1 Generl Tringle Solution: Given three sides. When the three side lengths '', '' nd '' of

More information

We explain the details of the service, including the charges, in your order confirmation and on our website at bt.com.

We explain the details of the service, including the charges, in your order confirmation and on our website at bt.com. Lst upt: 31 st Jnury 2017 BT Moil trms n onitions Pls tk som tim to r ths trms n onitions. Thy provi importnt informtion out th srvi n quipmnt w'r proviing you with. This inlus how w my hng th srvi, th

More information

Academic. Grade 9 Assessment of Mathematics. Winter 2009 SAMPLE ASSESSMENT QUESTIONS

Academic. Grade 9 Assessment of Mathematics. Winter 2009 SAMPLE ASSESSMENT QUESTIONS Aemi Gre 9 Assessment of Mthemtis Winter 9 SAMPLE ASSESSMENT QUESTIONS Reor our nswers to the multiple-hoie questions on the lnk Stuent Answer Sheet (Winter 9, Aemi). Plese note: The formt of this ooklet

More information

The High Price of Cheap Fashion p. 12

The High Price of Cheap Fashion p. 12 quiz 3 interntionl The High Prie of Chep Fshion p. 12 Uses: opy mhine, opque projetor, or trnspreny mster for overhe projetor. Sholsti In. grnts teher-susriers to The New York Times Upfront permission

More information

FEMALE 15,26,44,62 POSITIONS FEMALE 78 POSITIONS DIMENSION (FOR FEMALE 15, 26, 44, 62 POSITION) NOTES:

FEMALE 15,26,44,62 POSITIONS FEMALE 78 POSITIONS DIMENSION (FOR FEMALE 15, 26, 44, 62 POSITION) NOTES: RVISIONS IMNSION (OR ML,,, POSITION) RV. O. NO SRIPTION T Y RMOV 'ML' PIN, h: RSTRITION ON PN OING ITM h 0//0 'ML' PIN, PIN TYP 'G', 'R', 'Y' RIVT OPTION h:, h:9 ON PN OING, UPT "ML" P //0 LYOUT HOL.0mm

More information

Dependency Resolving Algorithm

Dependency Resolving Algorithm Dpnncy Rsolving Algorithm Rvision History Rvision 1.0 May 25, 2010 Rvis by: FB Frry Bonr 1. Prfac Hr s a littl xplanation of a possibl pnncy rsolution algorithm. I v ma this as basic as possibl, so it

More information

TABLE OF CONTENTS NOTES: VALID UNLESS OTHERWISE SPECIFIED

TABLE OF CONTENTS NOTES: VALID UNLESS OTHERWISE SPECIFIED T O ONTNTS ST NO. ST SRIPTION NOTS x RPT S SSMY YIN ONIURTIONS x RPT S SSMY YIN ONIURTIONS RPT S SSMY x RPT S SSMY OM ST x RPT S SSMY OM ST NOTS: VI UNSS OTRWIS SPII. NR: a. PPITION SPIITION S: S-00-000

More information

P $ 1t = $ i 1t. P 2t $ $100 (1 + i 1t ) ( ) 1 + i e. 1t+1. $1 (1 + i 1t ) 1t+1 P $ 2t. $1 P e$ 1t+1. 1t+1. P $ 2t = P e$ 1 + i 1t = P e$

P $ 1t = $ i 1t. P 2t $ $100 (1 + i 1t ) ( ) 1 + i e. 1t+1. $1 (1 + i 1t ) 1t+1 P $ 2t. $1 P e$ 1t+1. 1t+1. P $ 2t = P e$ 1 + i 1t = P e$ P $ 1t = $100 1 + i 1t P 2t $ $100 = (1 + i 1t ) ( ) 1 + i 1t+1 t t + 1 $1 (1 + i 1t ) $1 P $ 1t+1 P $ 2t 1 + i 1t = P $ 1t+1 P $ 2t P $ 2t = P $ 1t+1 1 + i 1t P $ 1t+1 = $100 1 + i 1t+1 P $ 2t = P $ 1t+1

More information

e 7 r a d i t : G n u g r i t i n t i v e W on Core r r a a N g im n c h Com n L a u

e 7 r a d i t : G n u g r i t i n t i v e W on Core r r a a N g im n c h Com n L a u in m o C L a u n c h m g n o N a rr r o C a v ti W r i it n g u n i t: G ra d 7 Information Card Nam District Email Grad Lvl What social mdia ar you comfortabl using? Building Our Community What is your

More information

3/1/2016. Intermediate Microeconomics W3211. Lecture 7: The Endowment Economy. Today s Aims. The Story So Far. An Endowment Economy.

3/1/2016. Intermediate Microeconomics W3211. Lecture 7: The Endowment Economy. Today s Aims. The Story So Far. An Endowment Economy. 1 Intermedite Microeconomics W3211 Lecture 7: The Endowment Economy Introduction Columbi University, Spring 2016 Mrk Den: mrk.den@columbi.edu 2 The Story So Fr. 3 Tody s Aims 4 Remember: the course hd

More information

Felony Sentences in State Courts, 1998

Felony Sentences in State Courts, 1998 U.S. Dprtmnt o Justi Oi o Justi Progrms Buru o Justi Sttistis Bulltin Otor 00, NCJ 900 Flony Sntns in Stt Courts, 99 By Mtthw R. Duros Dvi J. Lvin n Ptrik A. Lngn, Ph.D. BJS Sttistiins In 99 Stt ourts

More information

Working with a Film: Suffragette

Working with a Film: Suffragette Working with Film: Suffrgtt Aoring to th sujt urriulum for this ours, stunts r to ommnt on n isuss soil stuis issus in English-spking ountris. Suffrgtt is film from Grt Britin tht xmins th srious issu

More information

HORSESHOE COVE DIXIE COUNTY, FLORIDA POST-HURRICANE HERMINE EXAMINATION SURVEY FY17 6-FOOT PROJECT

HORSESHOE COVE DIXIE COUNTY, FLORIDA POST-HURRICANE HERMINE EXAMINATION SURVEY FY17 6-FOOT PROJECT TLNTI ON L M PNSOL G O R G I N US rmy orps of ngineers Jacksonville istrict ST ON THIS JO PNS ON OU 351 TLLHSS JKSONVILL LOTION O WORK ORLNO TMP OO HORSSHO H GUL O M I O LK OKHO escription TIST "HH-5"

More information

Patterns and functions recursive number patterns Write the next 3 numbers in each sequence by following the rule:

Patterns and functions recursive number patterns Write the next 3 numbers in each sequence by following the rule: Ptterns n funtions reursive numer ptterns Look roun you, n you see pttern? A pttern is n rrngement of shpes, numers or ojets forme oring to rule. Ptterns re everywhere, you n fin them in nture, rt, musi

More information

KEY WEST HARBOR NORTHW EST CHANNEL MONROE COUNTY, FLORIDA POST-HURRICANE IRMA EXAMINATION SURVEY FY17 17-FOOT PROJECT LOCATION MAP SHEET INDEX

KEY WEST HARBOR NORTHW EST CHANNEL MONROE COUNTY, FLORIDA POST-HURRICANE IRMA EXAMINATION SURVEY FY17 17-FOOT PROJECT LOCATION MAP SHEET INDEX TLNTI ON US rmy orps of ngineers Jacksonville istrict ST ON THIS JO PNS ON OU GUL O MIO L M PNSOL G O R G I N TLLHSS JKSONVILL ORLNO SHT 17 GUL TMP OO escription SHT 16 O LK OKHO KS M I O T MRS WST PLM

More information

Lecture 31 Monday, Nov. 19, Income Effect again

Lecture 31 Monday, Nov. 19, Income Effect again Lctur 31 Monday, Nov. 19, 2007 Homwork 5 postd. Du Tus (11:59 pm) aftr Thanksgiving No class Wd and no sctions (Happy Thanksgiving!) 1. Incom Effct again 2. Th Substitution Effct of a Pric Chang 3. Total

More information

F68488 B 181 SECTION A-A. 22x 23x 24x. ..x 0 ±3 F 152 A E 4,5 ±3 SUBASSEMBLY ITEM SECTION B-B MOUNTING SET MASONEILAN 37/38 NDX. Metso Automation Inc.

F68488 B 181 SECTION A-A. 22x 23x 24x. ..x 0 ±3 F 152 A E 4,5 ±3 SUBASSEMBLY ITEM SECTION B-B MOUNTING SET MASONEILAN 37/38 NDX. Metso Automation Inc. W MTSO UTOMTION R TH OWNRS O THIS OUMNT WHIH MUST NOT, WITHOUT OUR PRMISSION, OPI, GIVN TO THIR PRTY OR IN NY OTHR WY US GINST OUR OPYRIGHT. ± STION - 4 x x 4x 4 4, ±..x SUSSMLY ITM UNMRK MHINING TOLRNS.

More information

Cache CPI and DFAs and NFAs. CS230 Tutorial 10

Cache CPI and DFAs and NFAs. CS230 Tutorial 10 Cche CPI nd DFAs nd NFAs CS230 Tutoril 10 Multi-Level Cche: Clculting CPI When memory ccess is ttempted, wht re the possible results? ccess miss miss CPU L1 Cche L2 Cche Memory L1 cche hit L2 cche hit

More information

Financial Mathematics 3: Depreciation

Financial Mathematics 3: Depreciation Finncil Mthemtics 3: Deprecition Student Book - Series M-1 25% p.. over 8 yers Mthletics Instnt Workooks Copyright Finncil mthemtics 3: Deprecition Student Book - Series M Contents Topics Topic 1 - Modelling

More information

Holding period yield the distinction between interest rates and

Holding period yield the distinction between interest rates and LECTURE 3 Hamza Ali Malik Econ 315: Mony and anking Wintr 005 Holding priod yild th distinction btwn intrst rats and rturns. Th pric of most forms of dbt fluctuats ovr tim whil th yild to maturity can

More information

A ppendix to. I soquants. Producing at Least Cost. Chapter

A ppendix to. I soquants. Producing at Least Cost. Chapter A ppendix to Chpter 0 Producing t est Cost This ppendix descries set of useful tools for studying firm s long-run production nd costs. The tools re isoqunts nd isocost lines. I soqunts FIGURE A0. SHOWS

More information

Properties of the nonsymmetric Robinson-Schensted-Knuth algorithm

Properties of the nonsymmetric Robinson-Schensted-Knuth algorithm Proprtis of th nonsymmtri Roinson-Shnstd-Knuth algorithm Jams Haglund Dpartmnt of Mathmatis Univrsity of Pnnsylvania, Philadlphia, PA 90. USA jhaglund@math.upnn.du Sarah Mason Dpartmnt of Mathmatis Wak

More information

Life List. Life List Activity for Kids, Parents & Families. Guide includes tips and prompts for inspiration.

Life List. Life List Activity for Kids, Parents & Families. Guide includes tips and prompts for inspiration. Lf Lt Lf Lt Atvt for Kd, Prnt & Fml Gud nlud tp nd prompt for nprton. Kd' Lf Lt Brntormn Gud Drton- You'r oun nd hv lon lf n front of ou. Wht do ou wnt to tr? Whr do ou wnt to vt? Wht omplhmnt do ou wnt

More information

Average Switching Costs in Dynamic Logit Models John Kennan January 2008

Average Switching Costs in Dynamic Logit Models John Kennan January 2008 Arag Switching Costs in Dynamic Logit Modls ohn Knnan anuary 28 Thr is an xtnsi litratur on discrt choic modls, in which agnts choos on of a finit st of altrnatis. Th mpirical rlationship btwn th charactristics

More information

MATERIAL SEE BOM ANGLES = 2 > 2000 FINISH NONE

MATERIAL SEE BOM ANGLES = 2 > 2000 FINISH NONE 0 RVSON STORY RV T SRPTON O Y 5 //05 PROUTON RLS 400 OT 5//0 50- RMOV. 00-0 N 40-_00. 55 4 4 NOTS:. PROTTV OLOR LM TO PROTT RONT OVR PLST. MNUTUR SRL NUMR LL (SQUNL) ON SP LOTON ON P/N: 40-_00. PRORM WT

More information

Section 2.2 Trigonometry: The Triangle Identities

Section 2.2 Trigonometry: The Triangle Identities Se. 2.2 Trigonometry: The Tringle Identities 7 Setion 2.2 Trigonometry: The Tringle Identities DJENT ND OPPOSITE SIDES The study of tringle trigonometry is entered round the ute ngles in right tringle.

More information

PROPERTY DEMAND IN AFRICA

PROPERTY DEMAND IN AFRICA OFF PLAN SALES: IS IT AN ELIXIR FOR PROPERTY FINANCING IN EMERGING MARKETS? XXV FIG Congrss 2014, 16 21 Jun 2014, Kuala Lumpur, Malaysia Engaging th Challngs, Enhancing th Rlvanc Collins KOWUOR, Knya 20

More information

KEY SKILLS INFORMATION TECHNOLOGY Level 3 Games [KSI3J4] Question Paper. 28 and 29 January 2004

KEY SKILLS INFORMATION TECHNOLOGY Level 3 Games [KSI3J4] Question Paper. 28 and 29 January 2004 KEY SKILLS INFORMATION TECHNOLOGY Level 3 Gmes [KSI3J4] Question Pper 28 n 29 Jnury 2004 WHAT YOU NEED This Question Pper An Answer Cover Sheet Aess to omputer, softwre n printer Aess to the t files to

More information

Class Overview. Database Design. Database Design. Database Design Process. Entity / Relationship Diagrams. Introduction to Database Systems CSE 414

Class Overview. Database Design. Database Design. Database Design Process. Entity / Relationship Diagrams. Introduction to Database Systems CSE 414 Introution to Dtse Systems CSE 44 Leture 9: E/R Digrms Clss Overview Unit : Intro Unit : Reltionl Dt Moels n Query Lnguges Unit : Non-reltionl t Unit 4: RDMBS internls n query optimiztion Unit 5: Prllel

More information

NEW SIDEWALK CANOPIES

NEW SIDEWALK CANOPIES FLG F LG N SPRTNURG ISTRIT 6 SPRTNURG ISTRIT 6 1390 VLIER WY (864) 809-2007 MR. MRK KIRKLN RHITET McMILLN PZN SMITH RHITETS 127 UNR ST. PO OX 5331 SPRTNURG, S 29304 (864) 585-5678 MR. MIHEL L HEWNING,

More information

MACROECONOMICS. The Open Economy Revisited: the Mundell-Fleming Model and the Exchange-Rate Regime MANKIW. In this chapter, you will learn

MACROECONOMICS. The Open Economy Revisited: the Mundell-Fleming Model and the Exchange-Rate Regime MANKIW. In this chapter, you will learn C H A P T E R Th Opn Economy Rvisitd: th undll-flming odl and th Exchang-Rat Rgim ACROECONOICS N. GREGOR ANKIW 007 Worth Publishrs, all rights rsrvd SIXTH EDITION PowrPoint Slids by Ron Cronovich In this

More information

164 CHAPTER 2. VECTOR FUNCTIONS

164 CHAPTER 2. VECTOR FUNCTIONS 164 CHAPTER. VECTOR FUNCTIONS.4 Curvture.4.1 Definitions nd Exmples The notion of curvture mesures how shrply curve bends. We would expect the curvture to be 0 for stright line, to be very smll for curves

More information

The MA health reform and other issues

The MA health reform and other issues The MA helth reorm nd other issues Gruer: three key issues or ny reorm Poolin Need wy to ornize helth cre other thn need Otherwise -- dverse selection Prolem: current system leves out smll irms Aordility

More information

Solutions to Four great decisions!

Solutions to Four great decisions! Solutions to Four grat dcisions! 1. Th Dayton Ara Broadcasting (DAB) Company is considring going nationwid on its nw ralty TV show calld Amrican Idl. Th nw show pits unmployd or othrwis idl or lazy contstants

More information

T4.3 - Inverse of Matrices & Determinants

T4.3 - Inverse of Matrices & Determinants () Review T. - nverse of Mtries & Determinnts B Mth SL - Sntowski - t this stge of stuying mtries, we know how to, subtrt n multiply mtries i.e. if Then evlute: () + B (b) - () B () B (e) B n B (B) Review

More information

MCX Gold Continuous Daily chart: GOLD-1M - Daily Open 32138, Hi 32151, Lo 31981, Close (-0.4%) EMA(Close,50) (i)

MCX Gold Continuous Daily chart: GOLD-1M - Daily Open 32138, Hi 32151, Lo 31981, Close (-0.4%) EMA(Close,50) (i) 25 Jnury, 2019 20182201820182018202018 Bottom-Lin:Pris o Goln Silvr n movin rng, trn or MCX Coppr 2018 is 202012012018 siwys to ngtiv n trn or MCX Cru looks positiv. MCX Gol Continuous Dily hrt: GOLD-1M

More information

Definition A continuous random variable X on a probability space (Ω, F, P) is a function X : Ω R such that for all x R. 1 {X x} is an event, and

Definition A continuous random variable X on a probability space (Ω, F, P) is a function X : Ω R such that for all x R. 1 {X x} is an event, and Continuous random variabls I Mathmatics for Informatics 4a José Figuroa-O Farrill Lctur 7 Fbruary 22 Aftr discrt random variabls, it is now tim to study continuous random variabls; namly, thos taking valus

More information

Negative Royalty in Duopoly and Definition of License Fee: General Demand and Cost Functions

Negative Royalty in Duopoly and Definition of License Fee: General Demand and Cost Functions Intrnational Journal of usinss Economics 018 Vol 17 No 163-178 Ngativ Royalty in Duopoly Dfinition of Licns F: Gnral Dm Cost Functions Masahiko Hattori Faculty of Economics Doshisha Univrsity Japan Yasuhito

More information

Name Date. Find the LCM of the numbers using the two methods shown above.

Name Date. Find the LCM of the numbers using the two methods shown above. Lest Common Multiple Multiples tht re shred by two or more numbers re clled common multiples. The lest of the common multiples is clled the lest common multiple (LCM). There re severl different wys to

More information

p = 0.4 q = 0.6 Pr(X = 4) = 5 C 4 (0.4) 4 (0.6) 1 = = Pr(X = x) = n C x p x q n x a n = 4 x = 1 Pr(X = 2) = 4 1 b n = 4 x = 2

p = 0.4 q = 0.6 Pr(X = 4) = 5 C 4 (0.4) 4 (0.6) 1 = = Pr(X = x) = n C x p x q n x a n = 4 x = 1 Pr(X = 2) = 4 1 b n = 4 x = 2 Chpter The inomil distriution Eerise A The inomil distriution No, sine there re more thn possile outomes. Yes, sine there re independent trils nd two possile outomes, three or nonthree. No, sine there

More information

INF 4130 Exercise set 4

INF 4130 Exercise set 4 INF 4130 Exercise set 4 Exercise 1 List the order in which we extrct the nodes from the Live Set queue when we do redth first serch of the following grph (tree) with the Live Set implemented s LIFO queue.

More information

Dry Matter Intake Decreases Shortly After Initiation of Feeding Zilmax During the Summer

Dry Matter Intake Decreases Shortly After Initiation of Feeding Zilmax During the Summer Dry Mtter Intke Dereses Shortly After Initition of Feeding Zilmx During the C.D. Reinhrdt, C.I. Vhl, nd B.E. Depenush Introdution Sine Zilmx (zilpterol hydrohloride, ZIL; Merk Animl Helth, Summit, NJ)

More information

9.3. Regular Languages

9.3. Regular Languages 9.3. REGULAR LANGUAGES 139 9.3. Regulr Lnguges 9.3.1. Properties of Regulr Lnguges. Recll tht regulr lnguge is the lnguge ssocited to regulr grmmr, i.e., grmmr G = (N, T, P, σ) in which every production

More information

CPA CONNECTOR HOUSING TPA XBTANG 2016/08/22 GM2W UNSEAL SPEAKER ASSEMLY SALES DRAWING XBTANG 2016/09/20 CUSTOMER DRAWING JDENG /09/26

CPA CONNECTOR HOUSING TPA XBTANG 2016/08/22 GM2W UNSEAL SPEAKER ASSEMLY SALES DRAWING XBTANG 2016/09/20 CUSTOMER DRAWING JDENG /09/26 0 P T O ONTNTS ST NO. ST SRIPTION NOTS ONIURTIONS OM N OUTR MNSIONS INTR NOTS: VI UNSS OTRWIS SPII ONNTOR OUSIN. NR: a. PPITION SPIITION S: 000 -ONTINS: PROUT INTROUTION, PROUT SUMMRY, ONNTOR SSMY, PIN

More information

Probability & Random Variables

Probability & Random Variables Philadlphia Univrsit Dpartmnt o Commnication & Elctronics Enginring Probabilit & Random Variabls Chaptr or Instrctor Ibrahim N. Ab-Isbih Email: absbih@philadlphia.d.jo Wbsit: www.absbih.com/cors Ch.4:

More information

EFFECTS OF THE SINGLE EUROPEAN MARKET ON WELFARE OF THE PARTICIPATING COUNTRIES (theoretical approach)

EFFECTS OF THE SINGLE EUROPEAN MARKET ON WELFARE OF THE PARTICIPATING COUNTRIES (theoretical approach) EFFECTS OF THE SINGLE EUROEAN MARKET ON ELFARE OF THE ARTICIATING COUNTRIES theoretil pproh O ELHD&DU\:DUVDZ6FKRRORIFRRLFV:DUVDZRODG Agnieszk Rusinowsk, rsw Shool of Eonomis, rsw, olnd In this note we

More information

VaR and Stress Testing Debt Portfolios Before, During and After the Banking Crisis

VaR and Stress Testing Debt Portfolios Before, During and After the Banking Crisis UK Bon Portfolio Portfolio VaR Strss Tsting an PCA Conclusion VaR an Strss Tsting Dbt Portfolios Bfor, During an Aftr th Banking Crisis Carol Alxanr ICMA Cntr, Hnly Businss School at Raing Wbinar Broacast

More information

GSM Solver Technical Notes

GSM Solver Technical Notes 7//5 GM olvr Thl Nots, Pg /7 GM olvr Thl Nots 7 Tkuh Hro (Tokyo Isttut of Thology). Itrouto Ths oumt srs lgorthm, thology mplmtto of GM olvr. Blok N k l l Blok k NPk k l Blok Extto NP Extto 4 Blok 5 8

More information

! Homework. ! Exploring the data " Quantitative data: e.g., reading times. ! Inferential statistics " Parametric tests

! Homework. ! Exploring the data  Quantitative data: e.g., reading times. ! Inferential statistics  Parametric tests Overview! Homework Introution to Psyholinguistis Leture 6 Experimentl Methos II Pi Knoeferle & M. W. Croker Deprtment of Computtionl Linguistis Srln University SS 2006! Exploring the t " Quntittive t:

More information

Categorizing: Delineating the Phenomena

Categorizing: Delineating the Phenomena tgorizing: Dlinting th Phnomn likr Qustion Wht ftors influn wht you s in this pitur?. How your visul systm works. Wht you xpt to s. Wht fturs you ttnd to D. ll of th ov Rviw Prption is not trnsprnt w don

More information

Arithmetic and Geometric Sequences

Arithmetic and Geometric Sequences Arithmetic nd Geometric Sequences A sequence is list of numbers or objects, clled terms, in certin order. In n rithmetic sequence, the difference between one term nd the next is lwys the sme. This difference

More information

Eaton Vance 2010 Tax Guide

Eaton Vance 2010 Tax Guide aton Vance 2010 Tax uide aton Vance nvestment Managers o n t e n t s aton Vance unds P.O. ox 9653 Provience, R 02940 (800) 262-1121 www.eatonvance.com 2010 orm 1099-V 2 2010 orm 1099-NT 4 2010 orm 1099-6

More information

THE FINAL PROOF SUPPORTING THE TURNOVER FORMULA.

THE FINAL PROOF SUPPORTING THE TURNOVER FORMULA. THE FINAL PROOF SUPPORTING THE TURNOVER FORMULA. I would like to thnk Aris for his mthemticl contriutions nd his swet which hs enled deeper understnding of the turnover formul to emerge. His contriution

More information

UNIT 5 ACCEPTANCE SAMPLING PLANS 5.1 INTRODUCTION. Structure. 5.1 Introduction. 5.2 Inspection 5.3 Acceptance Sampling Plan

UNIT 5 ACCEPTANCE SAMPLING PLANS 5.1 INTRODUCTION. Structure. 5.1 Introduction. 5.2 Inspection 5.3 Acceptance Sampling Plan UNIT 5 ACCEPTANCE SAMPLING PLANS Struture 5.1 Introdution Objetives 5.2 Inspetion 5.3 Aeptne Smpling Pln Advntges nd Limittions of Aeptne Smpling Types of Aeptne Smpling Plns 5.4 Implementtion of Aeptne

More information

Number: Fractions and percentages

Number: Fractions and percentages Numer: Frctions nd percentges. One quntity s frction of nother HOMEWORK A FM FM AU PS 7 Write the first quntity s frction of the second. p, 0p kg, kg c hours, hours d dys, 0 dys e dys, weeks f 0 minutes,

More information

What is Monte Carlo Simulation? Monte Carlo Simulation

What is Monte Carlo Simulation? Monte Carlo Simulation Wht is Monte Crlo Simultion? Monte Crlo methods re widely used clss of computtionl lgorithms for simulting the ehvior of vrious physicl nd mthemticl systems, nd for other computtions. Monte Crlo lgorithm

More information

Chapter55. Algebraic expansion and simplification

Chapter55. Algebraic expansion and simplification Chpter55 Algebric expnsion nd simplifiction Contents: A The distributive lw B The product ( + b)(c + d) C Difference of two squres D Perfect squres expnsion E Further expnsion F The binomil expnsion 88

More information

= + and the demand function given by

= + and the demand function given by Math 8 REVIEW Part I: Problms. A firm s fid cost is $60,000; it costs th firm $77 to mak ach unit of its product; and it slls ach unit for $90. a) Find its cost, rvnu, and profit functions. b) How much

More information

risk tolerance focus on your goals and needs

risk tolerance focus on your goals and needs investment hoies 21 211 Stnr risk tolerne fous on your gols n nees Vrile Prouts: Are Not Deposit of Any Bnk Are Not FDIC Insure Are Not Insure y Any Feerl Government Ageny Are Not Gurntee y Any Bnk or

More information

Amphenol High Speed Interconnects A Division of Amphenol Corp.

Amphenol High Speed Interconnects A Division of Amphenol Corp. MPNOL PRT NUMR ONIURTION U9 T X X X X T SINK OPTION = NO T SINK OR LIP SIPP = PIN STYL T SINK N LIP (=.mm; SN IT) = PIN STYL T SINK N LIP (=.mm; PI IT) 7 = PIN STYL T SINK N LIP (=.mm; TLL) N = PININ T

More information

Complete the table below to show the fixed, variable and total costs. In the final column, calculate the profit or loss made by J Kane.

Complete the table below to show the fixed, variable and total costs. In the final column, calculate the profit or loss made by J Kane. Tsk 1 J Kne sells mchinery to the frm industry. His fixed costs re 10,000 nd ech mchine costs him 400 to buy. He sells them t 600 nd is trying to work out his profit or loss t vrious levels of sles. He

More information

Suggested Solutions to Assignment 1

Suggested Solutions to Assignment 1 C 3580 Intrnational conomics II Instructor: Sharif F. Khan Dpartmnt of conomics Atkinson Collg, York Univrsity Summr 1 2008 Suggstd Solutions to Assignmnt 1 Total Marks: 50 Part A Tru/ Fals/ Uncrtain Qustions

More information

A GENERALIZED ERROR DISTRIBUTION

A GENERALIZED ERROR DISTRIBUTION A GENERALIZED ERROR DISTRIBUTION GRAHAM L. GILLER ABSTRACT. W rviw th proprtis of a univariat probability distribution that is a possibl candidat for th dscription of financial markt pric changs. This

More information

ECON 105 Homework 2 KEY Open Economy Macroeconomics Due November 29

ECON 105 Homework 2 KEY Open Economy Macroeconomics Due November 29 Instructions: ECON 105 Homework 2 KEY Open Economy Mcroeconomics Due Novemer 29 The purpose of this ssignment it to integrte the explntions found in chpter 16 ok Kennedy with the D-S model nd the Money

More information

CSE Discrete Structures

CSE Discrete Structures CSE - Dirt Strutur Em : Comprhniv Nm: ID#: PIN: CSE - Dirt Strutur Fin Em - Soution - F 999 Cod boo, od not Dt: D. 999, :0 pm - 8:00 pm. Giv th orm dinition or th oowing dirtd or undirtd grph. Ao indit

More information

Ratio and Proportion Long-Term Memory Review Day 1 - Review

Ratio and Proportion Long-Term Memory Review Day 1 - Review Rtio nd Proportion Dy 1 - Review 1. Provide omplete response to eh of the following: ) A rtio ompres two. ) A proportion sets two rtios to eh other. ) Wht re similr figures? 2. Drw two similr figures.

More information

Long-term Memory Review PROFICIENCY PRACTICE: MONDAY REVIEW

Long-term Memory Review PROFICIENCY PRACTICE: MONDAY REVIEW PROFICINCY PRACTIC: MONDAY RVIW : A D 14 cm B 21 cm C 2) Use : The tringles in the figure ove re similr. ) nd re mesures of corresponding sides. ) nd re mesures of nother pir of corresponding sides. 3)

More information

Search Problems. A search problem consists of: A solution is a sequence of actions (a plan) which transforms the start state to a goal state

Search Problems. A search problem consists of: A solution is a sequence of actions (a plan) which transforms the start state to a goal state S Polms A s olm onsists o: A stt s A susso untion N, 1.0 A stt stt nd gol tst E, 1.0 A solution is sun o tions ( ln) wi tnsoms t stt stt to gol stt Exml: Romni Stt s: Citis Susso untion: Go to dj ity wit

More information

Lecture 6 Phylogenetic Analysis. Algorithm. Types of Data. UPGMA Neighbor Joining. Minimum Evolution

Lecture 6 Phylogenetic Analysis. Algorithm. Types of Data. UPGMA Neighbor Joining. Minimum Evolution Leture 6 Phylogeneti Anlysis Algorithms Types of Dt Distnes Nuleotie sites Tree-uiling Metho Clustering Algorithm Optimlity Criterion UPGMA Neighor Joining Minimum Evolution Mximum Prsimony Mximum Likelihoo

More information

Problem Set 2 Suggested Solutions

Problem Set 2 Suggested Solutions 4.472 Prolem Set 2 Suggested Solutions Reecc Zrutskie Question : First find the chnge in the cpitl stock, k, tht will occur when the OLG economy moves to the new stedy stte fter the government imposes

More information

te Finance (4th Edition), July 2017.

te Finance (4th Edition), July 2017. Tim-Varying Rats of Rturn and th Yild Curv Whn Rats of Rturn ar Diffrnt In this chaptr, w will mak th world a littl mor complx and a lot mor ralistic, although w ar still assuming prfct forsight and prfct

More information

P R A C T I C E E X A M # 1 Fall 2017

P R A C T I C E E X A M # 1 Fall 2017 1 Eonomis 101 Professor Turhi P R A C T I C E E X A M # 1 Fll 2017 Miterm Exmintion on Thursy, Septemer 21, 2017 in Clss ****Review Session: Mony, Septemer 18th, Crroll 111: 7:00 p.m. For Exm: Stuents

More information

CH 71 COMPLETING THE SQUARE INTRODUCTION FACTORING PERFECT SQUARE TRINOMIALS

CH 71 COMPLETING THE SQUARE INTRODUCTION FACTORING PERFECT SQUARE TRINOMIALS CH 7 COMPLETING THE SQUARE INTRODUCTION I t s now time to py our dues regrding the Qudrtic Formul. Wht, you my sk, does this men? It mens tht the formul ws merely given to you once or twice in this course,

More information

W-2. Wage and Tax Statement 2. Do NOT Cut, Fold, or Staple Forms on This Page Do NOT Cut, Fold, or Staple Forms on This Page

W-2. Wage and Tax Statement 2. Do NOT Cut, Fold, or Staple Forms on This Page Do NOT Cut, Fold, or Staple Forms on This Page Attntion! This form is provi for informational purposs an shoul not rprou on prsonal omputr printrs y iniviual taxpayrs for filing. Th print vrsion of this form is a "mahin raal" form. As suh, it must

More information

production for Community & Culture Project Reference e 2 design episodes Bogotá: Building a Sustainable City and Affordable Green Housing.

production for Community & Culture Project Reference e 2 design episodes Bogotá: Building a Sustainable City and Affordable Green Housing. Community & Culture Project Reference e 2 design episodes Bogotá: Building Sustinble City nd Affordble Green Housing. 1) Red the bckground essy nd discussion questions for e 2 design episodes Bogotá: Building

More information

Intermediate Macroeconomics

Intermediate Macroeconomics Intrmdiat Macroconomics ZHANG, Guoxiong guoxiong@sjtu.du.cn Lctur Th Mundll-Flming Modl Th Mundll-Flming Modl - Th goods markt and th IS curv - Th mony markt and th curv - Equilibrium xchang rat and incom

More information

The New Circus. Main ideas are the most important ideas in a passage. They are the messages the writer

The New Circus. Main ideas are the most important ideas in a passage. They are the messages the writer The New Cirus SUBJECT READING SKILL TEXT TYPE Culture n People Fining min ies n etils Content-se pssge Fining min ies n etils Min ies re the most importnt ies in pssge. They re the messges the writer wnts

More information

JOURNAL THE ERGODIC TM CANDLESTICK OSCILLATOR ROBERT KRAUSZ'S. Volume 1, Issue 7

JOURNAL THE ERGODIC TM CANDLESTICK OSCILLATOR ROBERT KRAUSZ'S. Volume 1, Issue 7 ROBERT KRUSZ'S JOURNL Volume 1, Issue 7 THE ERGODIC TM CNDLESTICK OSCILLTOR S ometimes we re lucky (due to our diligence) nd we find tool tht is useful nd does the jo etter thn previous tools, or nswers

More information

Hylant Group 501 Congressional Blvd P.O. Box 1910 Carmel IN Phone: Fax:

Hylant Group 501 Congressional Blvd P.O. Box 1910 Carmel IN Phone: Fax: 501 ongressional lvd P.O. ox 1910 armel IN 46082-1910 Phone: 317-817-5000 800-442-7475 Fax: 317-817-5151 KIWNIS ERTIFITE PKET current ertificate Packet is enclosed. Make copies as needed so you have ertificates

More information

Multidimensional IRT 1. Multidimensional Item Response Theory. Alan Socha. James Madison University

Multidimensional IRT 1. Multidimensional Item Response Theory. Alan Socha. James Madison University Multidimnsional IRT 1 Multidimnsional Itm Rspons Thory Alan Socha Jams Madison Univrsity Multidimnsional IRT 2 Background Itm rspons thory (IRT) is a systm of modls that xplains th rlationship btwn prsons

More information

LAMPS ENVIRON- MENT MOUNTING WATTS HEIGHT HIGH BAY LED IN P 25'-0" 277 SEE NOTE 2 ENCLOSED AND GASKETED LED IN S SEE NOTE 2

LAMPS ENVIRON- MENT MOUNTING WATTS HEIGHT HIGH BAY LED IN P 25'-0 277 SEE NOTE 2 ENCLOSED AND GASKETED LED IN S SEE NOTE 2 LN a LN UR NON UR Y - S LN UR SUL (a) SUSR NOS UR ONROL L LN UR - SUR OR NN MOUN L LN UR - RSS SN - NORML/MRNY - RROS S N - LN OR LL ('-0") MOUN - SN NS LOON N NUMR O S OOSNSOR LN ONROL UL RL - OL, R,

More information

Chapters 17: Exchange rate and balance of payments

Chapters 17: Exchange rate and balance of payments Chaptrs 17: Exchang rat and balanc of paymnts Ky ida: w dvlop an opn-conomy vrsion of IS-LM modl which shows how GDP, intrst rat and xchang rat (th thr ndognous variabls) ar dtrmind in short run with sticky

More information

MATH 236 ELAC MATH DEPARTMENT FALL 2017 SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.

MATH 236 ELAC MATH DEPARTMENT FALL 2017 SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. MATH 236 ELAC MATH DEPARTMENT FALL 2017 TEST 1 REVIEW SHORT ANSWER. Write the word or phrse tht best completes ech sttement or nswers the question. 1) The supply nd demnd equtions for certin product re

More information

Academic. Grade 9 Assessment of Mathematics. Spring 2008 SAMPLE ASSESSMENT QUESTIONS

Academic. Grade 9 Assessment of Mathematics. Spring 2008 SAMPLE ASSESSMENT QUESTIONS Aemi Gre 9 Assessment of Mthemtis Spring 8 SAMPLE ASSESSMENT QUESTIONS Reor your nswers to the multiple-hoie questions on the lnk Stuent Answer Sheet (Spring 8, Aemi). Plese note: The formt of these ooklets

More information

Problem Set 4 - Solutions. Suppose when Russia opens to trade, it imports automobiles, a capital-intensive good.

Problem Set 4 - Solutions. Suppose when Russia opens to trade, it imports automobiles, a capital-intensive good. roblem Set 4 - Solutions uestion Suppose when ussi opens to trde, it imports utomobiles, cpitl-intensive good. ) According to the Heckscher-Ohlin theorem, is ussi cpitl bundnt or lbor bundnt? Briefly explin.

More information

ASSEMBLY INSTRUCTIONS

ASSEMBLY INSTRUCTIONS PG O 7 SSMBLY INSTRUCTIONS LOW BCK HRDWOOD STORG BNCH WITH SPLIT ST 8400 WL-0-KD-U W R HR TO HLP! W DO OUR BST TO INSUR THT YOUR URNITUR RRIVS IN XCLLNT CONDITION. IN TH VNT THT PRT IS DMGD OR MISSING,

More information