A method of constructing rock-analysis diagrams a statistical basks.
|
|
- Henry Baker
- 5 years ago
- Views:
Transcription
1 130 A methd f cnstructng rck-analyss dagrams a statstcal basks. 0T~ By W. ALF~.D ll~ch).ra)so.~, ~.Se., B.Se. (Eng.), F.G.S. Lecturer n Petrlgy, Unversty Cllege, Nttngham. [Read January 18, 1921.] D R. HARKER ' has famlarzed us wth the use f varatn dagrams, n whch the Pereent~lge amunts f a cnsttuent are pltted aganst the amunt f slca present. He appled these dagrams chefly t study selected rck grups, but als gave certan generalzed eurves f llustrate the chemcal prpertes f hs ' Atlantc' and ' Pacfc' faces. Such varatn dagrams based n an adequate bdy f analytcal data frm a useful means f cnstructng dagrams fr the cmparsn f rck analyses. Sme means f generalzng analyses becmes a necessty as ther number accumulates and the labur f cmparng ndvdual analyses ncreases. Cnstructn f the varatn dagrams.--after 'sme delberatn the analyses selected by ddngs ~ t" llustrate rck clazsfeatn were adpted as data fr the cnstructn f varatn dagrams. The tables nclude rather mre than a thusand analyses. The dstrbutn f these analyses was checked by plttng ther frequency curve t the same scale as that drawn by Harker" wth Washngt's euectn as a bass. The tw curves clsely agreed, except that the selectn by ddngs shws a slght excess f analyses n the neghburhd f 75 per cent. slca. Varatn dagrams t a large scale were cnstructed n the usual way by plttng all percentages f the cnstuent aganst the crrespndng slca value. As an example, the alumna plttngs are reprduced n fg. 1 t a very much reduced scale. Out f the several types f curve that mght be cnstructed, the maxmum was fund t be the mst useful fr purpses f cmparsn. The upper curve n fg. 1 enclses all A. Harker, Natural Hstry f the gneus Rcks, Lndn, 1909, chaps, v and v. J. P. ddngs, gneus Recks, New Yrk, 1913, vl. 2, pp s A. Harker, ce. ct., p. 148, fg. 42.
2 _ W. A. RC~AltDSON ON ROCK-ANALYSS DAGRAMS. 3t values f alumna except sme three r fur slated ca~s. Alumna als shws a well-defned mnmum curve, but n ths respect s an exceptn. All ther xdes gve sme values nearly zer fr any slca percentage. n the regn frm 0 t 80 per cent. slca there s sme uncertanty, partly because f the small number f the analyses, and partly because f the lablty fr ther cnsttuents t ncrease rapdly as the slca fals. Hwever, all cnsttuents ther than rn and ttanum shw decded tendences t decrease sympathetcally wth slca. The varatn curves cnstructed n ths way are cllected n fg. 2. Ferrus and ferrc xdes are added tgether, largely because, pltted 3~ ~ pe rceqla~ e.~.~176 -~M~ Mu~ V~m~dr~( u Rv :--f,,,~ ~,lum l. tt9 e~ ~ 1:22 ~., _ ~ ; Fz. 1.--Varatn curves fr alumna n gneus rcks. separately, they gve rather rregular results. Phsphrc acd, and ther cnsttuents present nly n small amunts, were nt pltted. Rck dafframs.--a vertcal lne drawn thrugh a thckly clustered regn f fg. 1 shws that a number f rcks f gven slca percentage may have dfferent values f alumna. A hrzntal lne ndcates that a wde range f rcks wth varyng slca may pssess the same value f alumna. t s suggested that these curves may be used t cnstruct analyss dagrams t ndcate 1. The percentage f slca. 2. The percentage f anther gven cnsttuent. 3. The varatn fthls cnsttuent n rcks wth the same slca value. 4. The range f rcks wth the same percentage f the gven cnsttuent.
3 132 W. A. RCHARDSON ON r B n. cq
4 lqock-a~alyss DAGRAM. ~. 133 n ther wrds, the dagrams are desgned t shw bth the vertcal and lateral relatn f the analyss wth respect t a gven cnsttuent. Let the curve, fg. 3, represent the maxmum varatn f an xde wth respect t slca. Let a chsen analyss reprt a slca percentage B and an xde percentage b. f a vertcal lne be drawn thrugh B t cut the crate at B', the lne BB p shws the ttal varatn f that xde fr all rcks wth B per cent. f slca. Smlarly, f a hrzntal lne at heght b be drawn cuttng the curve at H and K, then HK shws the whle range f rcks that may pssess b per cent. f the xde. The pnt f tltersectn f the tw lnes gves the actual state f the analyss. m p( ~., / ~-~B, ', / ~,, E/ ~ ~\~F, "~ ~,~. ~'. \ ".. ~.~,~ :... : ~T. ~'., ~ A ]5 C ~ Fr. 3.--Shwng mde f cnstructn f ndvdual and grup dagrams f rck analyses. Snce the gven percentage f the xde may be fund n all rcks wth slca values between ~" and X ~, these lmts may cnvenently be referred t as the Mlea razuje f that amunt f the xde. f, nstead f a sngle rck, t be desred t represent a rck famly, the fllwng cnstructn may be adpted t shw ts chemcal affntes. n fg. 8 let tbe extreme values f slca n the famly be A and C, and let vertcal lnes be drawn thrugh these pnts t meet the curve at A' and C p. Further let the extreme xde values n the famly be a and c, and at these heghts let hrzntal lnes ntersectng the curve at DG and EtV' respectvely be drawn. The area enclsed (shaded n the fgure) gves the affntes f the famly wth respect t the cnsttuent xde n a manner smlar t tle lnes f the ndvdual analyss.
5 134 W. A. RCHARDSON ON ~ wm
6 ROCK-ANALYSS DAGRAMS. 135 [uetr~{ns. 1. Rck GruTs.--T llustrate the applcatn f ths methd t rck classfcatns, dagrams f the platnc grups as defned by Hatch * are gven n fg. 4. The dagrams are cnstructed n the fllwng plan :- The vertcal clumns represent the great grups--theacd, ntermedate, basc, and ultrabase. The wdth f the clumn represents 100 per cent. slca. Hrzntal lnes dvde the clumns nt cmpartments, ne f whch s alltted t each cnsttuent xde. The famles wthn a grup are dfferentated by dfferent types R,.--.- m......, ; =!, ;... =..631 L... ;... J 10-SSJ J 9"29 11"87' ~0 L... l r%0 ',2s, ' CaO t ~ , ~t9 0, : _ L ~O 14"~ , _%.~.. ' l.b8 12.8,! ~0 ' ' ' R,,! ' '.~ % O SOa lo0 : 0 SC t 49"22 00 ; 0 35"05 S0=, 1O0... Fe. 5.--ndvdual rck analyses., Grante : Pne Lake, Ontar (H. S. Washngtn, U.S. Gel. Surv., 1917, Prf Paper 99, p. 56)., Gabbr : Red Mrs., Mntana (bd., p. 608)., Perdtte: Lake Abtb, Ontar (bd., p. 92~). f lne, althugh fr practcal use the famles wuld be separated n dfferent dagrams. The slca lmts f the grups are defned by vertcal lnes n each emnn, and the upper lmt t the varatn f the xdes s shwn by the thck lnes that span the slca clumns. These crrespnd t A'C' n fg. 3. Only thse prtns f the curves are drawn that frm the bundares f the grup dagrams. Smlar dagrams may be cnstructed fr any ther system f chemcal grupng. 2. ~vdua[ AnaZyses.--Fg. 5 gves the dagrams f three ndvdual analyses drawn n tle same plan as the grups n fg. 4---the areas n F. H. Hatch, Petrlgy f the gneus Rcks, Lndn, 1914, p. 159 et ~q.
7 136 W. A. RC:ARDSON ON ROCK-AN.ALYSS DAGRAMS. the case f sngle analyses becme lnes. The wdth f each dagram represents 100 per cent. slca. The cmpartments altt~d t the xdes are dvded n ths fgure by the hrzntal dtted lnes. Tle full hrzn~l lnes ndcate the amunt and slca range f each cnsttuent present. The vertcal lne s drawn at the slca value, and the lmt t the varatn f the xdes at ths slca percentage s ndcated by the pstn f the lalge dt n each cmp~,rtment. Fr cmparsn wth grup dsg,'ams, ndvdual dsgrams may be taken drectly frm the varatn curves by means f tracng-paper.
SIMULATION OF THREE PHASE THREE LEG TRANSFORMER BEHAVIOR UNDER DIFFERENT VOLTAGE SAG TYPES
SIMULATION OF THREE PHASE THREE LEG TRANSFORMER BEHAVIOR UNDER DIFFERENT VOLTAGE SAG TYPES Mhammadreza Dlatan Alreza Jallan Department f Electrcal Engneerng, Iran Unversty f scence & Technlgy (IUST) e-mal:
More informationChapter 3, Solution 1C.
COSMOS: Cmplete Onlne Slutns Manual Organzatn System Chapter 3, Slutn C. (a If the lateral surfaces f the rd are nsulated, the heat transfer surface area f the cylndrcal rd s the bttm r the tp surface
More informationCHAPTER 3 ANALYSIS OF KY BOOST CONVERTER
70 CHAPTER 3 ANALYSIS OF KY BOOST CONERTER 3.1 Intrductn The KY Bst Cnverter s a recent nventn made by K.I.Hwu et. al., (2007), (2009a), (2009b), (2009c), (2010) n the nn-slated DC DC cnverter segment,
More informationShell Stiffness for Diffe ent Modes
Engneerng Mem N 28 February 0 979 SUGGESTONS FOR THE DEFORMABLE SUBREFLECTOR Sebastan vn Herner Observatns wth the present expermental versn (Engneerng Dv nternal Reprt 09 July 978) have shwn that a defrmable
More informationCONVEX COMBINATIONS OF ANALYTIC FUNCTIONS
rnat. J. Math. & Math. S. Vl. 6 N. (983) 33534 335 ON THE RADUS OF UNVALENCE OF CONVEX COMBNATONS OF ANALYTC FUNCTONS KHALDA. NOOR, FATMA M. ALOBOUD and NAEELA ALDHAN Mathematcs Department Scence Cllege
More informationelement k Using FEM to Solve Truss Problems
sng EM t Slve Truss Prblems A truss s an engneerng structure cmpsed straght members, a certan materal, that are tpcall pn-ned at ther ends. Such members are als called tw-rce members snce the can nl transmt
More informationPhysic 231 Lecture 33
Physc 231 Lecture 33 Man pnts f tday s lecture: eat and heat capacty: Q cm Phase transtns and latent heat: Q Lm ( ) eat flw Q k 2 1 t L Examples f heat cnductvty, R values fr nsulatrs Cnvectn R L / k Radatn
More informationWater vapour balance in a building moisture exposure for timber structures
Jnt Wrkshp f COST Actns TU1 and E55 September 21-22 9, Ljubljana, Slvena Water vapur balance n a buldng msture expsure fr tmber structures Gerhard Fnk ETH Zurch, Swtzerland Jchen Köhler ETH Zurch, Swtzerland
More informationChapter 7. Systems 7.1 INTRODUCTION 7.2 MATHEMATICAL MODELING OF LIQUID LEVEL SYSTEMS. Steady State Flow. A. Bazoune
Chapter 7 Flud Systems and Thermal Systems 7.1 INTODUCTION A. Bazune A flud system uses ne r mre fluds t acheve ts purpse. Dampers and shck absrbers are eamples f flud systems because they depend n the
More information6. ELUTRIATION OF PARTICLES FROM FLUIDIZED BEDS
6. ELUTRIATION OF PARTICLES FROM FLUIDIZED BEDS Elutratn s the prcess n whch fne partcles are carred ut f a fludzed bed due t the flud flw rate passng thrugh the bed. Typcally, fne partcles are elutrated
More informationA New Method for Solving Integer Linear. Programming Problems with Fuzzy Variables
Appled Mathematcal Scences, Vl. 4, 00, n. 0, 997-004 A New Methd fr Slvng Integer Lnear Prgrammng Prblems wth Fuzzy Varables P. Pandan and M. Jayalakshm Department f Mathematcs, Schl f Advanced Scences,
More informationCTN 2/23/16. EE 247B/ME 218: Introduction to MEMS Design Lecture 11m2: Mechanics of Materials. Copyright 2016 Regents of the University of California
Vlume Change fr a Unaxal Stress Istrpc lastcty n 3D Istrpc = same n all drectns The cmplete stress-stran relatns fr an strpc elastc Stresses actng n a dfferental vlume element sld n 3D: (.e., a generalzed
More informationComparison of Building Codes and Insulation in China and Iceland
Prceedngs Wrld Gethermal Cngress 00 Bal, Indnesa, 5-9 prl 00 Cmparsn f Buldng Cdes and Insulatn n Chna and Iceland Hayan Le and Pall Valdmarssn Tanjn Gethermal esearch & Tranng Centre, Tanjn Unversty,
More informationA Note on the Linear Programming Sensitivity. Analysis of Specification Constraints. in Blending Problems
Aled Mathematcal Scences, Vl. 2, 2008, n. 5, 241-248 A Nte n the Lnear Prgrammng Senstvty Analyss f Secfcatn Cnstrants n Blendng Prblems Umt Anc Callway Schl f Busness and Accuntancy Wae Frest Unversty,
More informationWp/Lmin. Wn/Lmin 2.5V
UNIVERITY OF CALIFORNIA Cllege f Engneerng Department f Electrcal Engneerng and Cmputer cences Andre Vladmrescu Hmewrk #7 EEC Due Frday, Aprl 8 th, pm @ 0 Cry Prblem #.5V Wp/Lmn 0.0V Wp/Lmn n ut Wn/Lmn.5V
More informationPHYSICS 536 Experiment 12: Applications of the Golden Rules for Negative Feedback
PHYSICS 536 Experment : Applcatns f the Glden Rules fr Negatve Feedback The purpse f ths experment s t llustrate the glden rules f negatve feedback fr a varety f crcuts. These cncepts permt yu t create
More informationSpring 2002 Lecture #17
1443-51 Sprng 22 Lecture #17 r. Jaehn Yu 1. Cndtns fr Equlbrum 2. Center f Gravty 3. Elastc Prpertes f Slds Yung s dulus Shear dulus ulk dulus Tday s Hmewrk Assgnment s the Hmewrk #8!!! 2 nd term eam n
More informationFeedback Principle :-
Feedback Prncple : Feedback amplfer s that n whch a part f the utput f the basc amplfer s returned back t the nput termnal and mxed up wth the nternal nput sgnal. The sub netwrks f feedback amplfer are:
More informationLecture 12. Heat Exchangers. Heat Exchangers Chee 318 1
Lecture 2 Heat Exchangers Heat Exchangers Chee 38 Heat Exchangers A heat exchanger s used t exchange heat between tw fluds f dfferent temperatures whch are separated by a sld wall. Heat exchangers are
More informationCAUSAL INFERENCE. Technical Track Session I. Phillippe Leite. The World Bank
CAUSAL INFERENCE Technical Track Sessin I Phillippe Leite The Wrld Bank These slides were develped by Christel Vermeersch and mdified by Phillippe Leite fr the purpse f this wrkshp Plicy questins are causal
More informationChapter 3: Cluster Analysis
Chapter 3: Cluster Analysis } 3.1 Basic Cncepts f Clustering 3.1.1 Cluster Analysis 3.1. Clustering Categries } 3. Partitining Methds 3..1 The principle 3.. K-Means Methd 3..3 K-Medids Methd 3..4 CLARA
More informationCambridge Assessment International Education Cambridge Ordinary Level. Published
Cambridge Assessment Internatinal Educatin Cambridge Ordinary Level ADDITIONAL MATHEMATICS 4037/1 Paper 1 Octber/Nvember 017 MARK SCHEME Maximum Mark: 80 Published This mark scheme is published as an aid
More informationCIRCLE YOUR DIVISION: Div. 1 (9:30 am) Div. 2 (11:30 am) Div. 3 (2:30 pm) Prof. Ruan Prof. Naik Mr. Singh
Frst CIRCLE YOUR DIVISION: Dv. 1 (9:30 am) Dv. (11:30 am) Dv. 3 (:30 m) Prf. Ruan Prf. Na Mr. Sngh Schl f Mechancal Engneerng Purdue Unversty ME315 Heat and Mass ransfer Eam #3 Wednesday Nvember 17 010
More informationApproach: (Equilibrium) TD analysis, i.e., conservation eqns., state equations Issues: how to deal with
Schl f Aerspace Chemcal D: Mtvatn Prevus D Analyss cnsdered systems where cmpstn f flud was frzen fxed chemcal cmpstn Chemcally eactng Flw but there are numerus stuatns n prpulsn systems where chemcal
More information_J _J J J J J J J J _. 7 particles in the blue state; 3 particles in the red state: 720 configurations _J J J _J J J J J J J J _
Dsrder and Suppse I have 10 partcles that can be n ne f tw states ether the blue state r the red state. Hw many dfferent ways can we arrange thse partcles amng the states? All partcles n the blue state:
More informationStructure and Drive Paul A. Jensen Copyright July 20, 2003
Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.
More informationDesign of Analog Integrated Circuits
Desgn f Analg Integrated Crcuts I. Amplfers Desgn f Analg Integrated Crcuts Fall 2012, Dr. Guxng Wang 1 Oerew Basc MOS amplfer structures Cmmn-Surce Amplfer Surce Fllwer Cmmn-Gate Amplfer Desgn f Analg
More informationExperiment 1 Mass, volume and density
Experment 1 Mass, volume and densty Purpose 1. Famlarze wth basc measurement tools such as verner calper, mcrometer, and laboratory balance. 2. Learn how to use the concepts of sgnfcant fgures, expermental
More informationGROWTH PHASES IN THE LIFE OF A LICHEN THALLUS
New Phytl. (974) 73, 93-98. GROWTH PHSES N THE LFE OF LCHEN THLLUS BY R.. RMSTRONG The Btany Schl, Oxfrd University {Received 2 March 974) SUMMRY The grwth rates f thalli f flise saxiclus lichens befre
More informationWeek3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity
Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle
More informationAnalytical Modeling of Natural Convection in Horizontal Annuli
Analytcal Mdelng f Natural Cnvectn n Hrzntal Annul Peter Teertstra, M. Mchael Yvanvch, J. Rchard Culham Mcrelectrncs Heat Transfer Labratry Department f Mechancal Engneerng Unversty f Waterl Waterl, Ontar,
More informationConservation of Energy
Cnservatn f Energy Equpment DataStud, ruler 2 meters lng, 6 n ruler, heavy duty bench clamp at crner f lab bench, 90 cm rd clamped vertcally t bench clamp, 2 duble clamps, 40 cm rd clamped hrzntally t
More informationDUE: WEDS FEB 21ST 2018
HOMEWORK # 1: FINITE DIFFERENCES IN ONE DIMENSION DUE: WEDS FEB 21ST 2018 1. Theory Beam bendng s a classcal engneerng analyss. The tradtonal soluton technque makes smplfyng assumptons such as a constant
More informationMath 9 Year End Review Package. (b) = (a) Side length = 15.5 cm ( area ) (b) Perimeter = 4xside = 62 m
Math Year End Review Package Chapter Square Rts and Surface Area KEY. Methd #: cunt the number f squares alng the side ( units) Methd #: take the square rt f the area. (a) 4 = 0.7. = 0.. _Perfect square
More informationAssignment 5. Simulation for Logistics. Monti, N.E. Yunita, T.
Assgnment 5 Smulaton for Logstcs Mont, N.E. Yunta, T. November 26, 2007 1. Smulaton Desgn The frst objectve of ths assgnment s to derve a 90% two-sded Confdence Interval (CI) for the average watng tme
More informationFall 2010 Analysis of Experimental Measurements B. Eisenstein/rev. S. Errede. (n.b. for now, we do not require that k. vectors as a k 1 matrix: ( )
Fall 00 Analyss f Epermental Measrements B. Esensten/rev. S. Errede Let s nvestgate the effect f a change f varables n the real & symmetrc cvarance matr aa the varance matr aa the errr matr V [ ] ( )(
More informationLucas Imperfect Information Model
Lucas Imerfect Infrmatn Mdel 93 Lucas Imerfect Infrmatn Mdel The Lucas mdel was the frst f the mdern, mcrfundatns mdels f aggregate suly and macrecnmcs It bult drectly n the Fredman-Phels analyss f the
More information14 The Boole/Stone algebra of sets
14 The Ble/Stne algebra f sets 14.1. Lattces and Blean algebras. Gven a set A, the subsets f A admt the fllwng smple and famlar peratns n them: (ntersectn), (unn) and - (cmplementatn). If X, Y A, then
More informationMatter Content from State Frameworks and Other State Documents
Atms and Mlecules Mlecules are made f smaller entities (atms) which are bnded tgether. Therefre mlecules are divisible. Miscnceptin: Element and atm are synnyms. Prper cnceptin: Elements are atms with
More informationTransient Conduction: Spatial Effects and the Role of Analytical Solutions
Transent Cnductn: Spatal Effects and the Rle f Analytcal Slutns Slutn t the Heat Equatn fr a Plane Wall wth Symmetrcal Cnvectn Cndtns If the lumped capactance apprxmatn can nt be made, cnsderatn must be
More informationCHAPTER 3 INEQUALITIES. Copyright -The Institute of Chartered Accountants of India
CHAPTER 3 INEQUALITIES Cpyright -The Institute f Chartered Accuntants f India INEQUALITIES LEARNING OBJECTIVES One f the widely used decisin making prblems, nwadays, is t decide n the ptimal mix f scarce
More informationDifferential Fault Analysis of SHA3-224 and SHA3-256
Dfferental Fault Analyss f SHA3-4 and SHA3-256 Pe Lu, Yuns Fe, Lwe Zhang, and A Adam Dng slencelu@gmalcm, yfe@eceneuedu, mathlwe@gmalcm, adng@neuedu Electrcal & Cmputer Engneerng Department, Nrtheastern
More informationModule B3. VLoad = = V S V LN
Mdule B Prblem The -hase lads are cnnected n arallel. One s a urely resste lad cnnected n wye. t cnsumes 00kW. The secnd s a urely nducte 00kR lad cnnected n wye. The thrd s a urely caacte 00kR lad cnnected
More informationChemistry 20 Lesson 11 Electronegativity, Polarity and Shapes
Chemistry 20 Lessn 11 Electrnegativity, Plarity and Shapes In ur previus wrk we learned why atms frm cvalent bnds and hw t draw the resulting rganizatin f atms. In this lessn we will learn (a) hw the cmbinatin
More information55:041 Electronic Circuits
55:04 Electrnc Crcuts Feedback & Stablty Sectns f Chapter 2. Kruger Feedback & Stablty Cnfguratn f Feedback mplfer S S S S fb Negate feedback S S S fb S S S S S β s the feedback transfer functn Implct
More informationA Matrix Representation of Panel Data
web Extensin 6 Appendix 6.A A Matrix Representatin f Panel Data Panel data mdels cme in tw brad varieties, distinct intercept DGPs and errr cmpnent DGPs. his appendix presents matrix algebra representatins
More informationSections 15.1 to 15.12, 16.1 and 16.2 of the textbook (Robbins-Miller) cover the materials required for this topic.
Tpic : AC Fundamentals, Sinusidal Wavefrm, and Phasrs Sectins 5. t 5., 6. and 6. f the textbk (Rbbins-Miller) cver the materials required fr this tpic.. Wavefrms in electrical systems are current r vltage
More informationOn the correction of the h-index for career length
1 On the correcton of the h-ndex for career length by L. Egghe Unverstet Hasselt (UHasselt), Campus Depenbeek, Agoralaan, B-3590 Depenbeek, Belgum 1 and Unverstet Antwerpen (UA), IBW, Stadscampus, Venusstraat
More informationLinear Regression Analysis: Terminology and Notation
ECON 35* -- Secton : Basc Concepts of Regresson Analyss (Page ) Lnear Regresson Analyss: Termnology and Notaton Consder the generc verson of the smple (two-varable) lnear regresson model. It s represented
More informationSpecimen Size-Rolls for Aircrew Headgear Based on an Analysis of the Head Measurements of 2000 Royal Air Force Aircrew
t! ~... f~ R. & M. N. 3774 PROCUREMENT EXECUTVE, MNSTRY O~ DEFENCE AERONAUTCAL RESEARCH COUNCL REPORTS AND MEMORANDA Specmen Sze-Rlls fr Arcrew Headgear Based n an Analyss f the Head Measurements f 2000
More informationThe APS Transfer Line from Linac to Injector Synchrotron.
-------------..., The submtted mclnu;..crpt has been authred by a cntractr f the U. S. Gvernment under cntract N. W 31 19-ENG 38. Accrdngly, the U. S. Gvernment retans a nnexclusve, ryalty-free lcense
More informationHow do scientists measure trees? What is DBH?
Hw d scientists measure trees? What is DBH? Purpse Students develp an understanding f tree size and hw scientists measure trees. Students bserve and measure tree ckies and explre the relatinship between
More information, which yields. where z1. and z2
The Gaussian r Nrmal PDF, Page 1 The Gaussian r Nrmal Prbability Density Functin Authr: Jhn M Cimbala, Penn State University Latest revisin: 11 September 13 The Gaussian r Nrmal Prbability Density Functin
More informationCathy Walker March 5, 2010
Cathy Walker March 5, 010 Part : Problem Set 1. What s the level of measurement for the followng varables? a) SAT scores b) Number of tests or quzzes n statstcal course c) Acres of land devoted to corn
More informationColor Rendering Uncertainty
Australan Journal of Basc and Appled Scences 4(10): 4601-4608 010 ISSN 1991-8178 Color Renderng Uncertanty 1 A.el Bally M.M. El-Ganany 3 A. Al-amel 1 Physcs Department Photometry department- NIS Abstract:
More informationFUZZY FINITE ELEMENT METHOD
FUZZY FINITE ELEMENT METHOD RELIABILITY TRUCTURE ANALYI UING PROBABILITY 3.. Maxmum Normal tress Internal force s the shear force, V has a magntude equal to the load P and bendng moment, M. Bendng moments
More informationIntroduction to Electronic circuits.
Intrductn t Electrnc crcuts. Passve and Actve crcut elements. Capactrs, esstrs and Inductrs n AC crcuts. Vltage and current dvders. Vltage and current surces. Amplfers, and ther transfer characterstc.
More informationKernel Methods and SVMs Extension
Kernel Methods and SVMs Extenson The purpose of ths document s to revew materal covered n Machne Learnng 1 Supervsed Learnng regardng support vector machnes (SVMs). Ths document also provdes a general
More information/ n ) are compared. The logic is: if the two
STAT C141, Sprng 2005 Lecture 13 Two sample tests One sample tests: examples of goodness of ft tests, where we are testng whether our data supports predctons. Two sample tests: called as tests of ndependence
More informationSTAT 3008 Applied Regression Analysis
STAT 3008 Appled Regresson Analyss Tutoral : Smple Lnear Regresson LAI Chun He Department of Statstcs, The Chnese Unversty of Hong Kong 1 Model Assumpton To quantfy the relatonshp between two factors,
More informationPhys 344 Ch 5 Lect 4 Feb 28 th,
hys 44 Ch 5 Lect 4 Feb 8 th, 009 1 Wed /4 Fr /6 Mn /9 Wed /11 Fr / 1 55 Dlute Slutn 56 Chemcal Equlbrum Revew Exam (C 107 S 60, 61 Bltzmann Statstcs Bnus: hys Sr hess resentatns @ 4pm HW17: 7,76,8 HW18:8,84,86,88,89,91
More informationCHAPTER 2 Algebraic Expressions and Fundamental Operations
CHAPTER Algebraic Expressins and Fundamental Operatins OBJECTIVES: 1. Algebraic Expressins. Terms. Degree. Gruping 5. Additin 6. Subtractin 7. Multiplicatin 8. Divisin Algebraic Expressin An algebraic
More informationME2142/ME2142E Feedback Control Systems. Modelling of Physical Systems The Transfer Function
Mdellng Physcal Systems The Transer Functn Derental Equatns U Plant Y In the plant shwn, the nput u aects the respnse the utput y. In general, the dynamcs ths respnse can be descrbed by a derental equatn
More informationQuantitative Discrimination of Effective Porosity Using Digital Image Analysis - Implications for Porosity-Permeability Transforms
2004, 66th EAGE Conference, Pars Quanttatve Dscrmnaton of Effectve Porosty Usng Dgtal Image Analyss - Implcatons for Porosty-Permeablty Transforms Gregor P. Eberl 1, Gregor T. Baechle 1, Ralf Weger 1,
More informationChapter 6 : Gibbs Free Energy
Wnter 01 Chem 54: ntrductry hermdynamcs Chapter 6 : Gbbs Free Energy... 64 Defntn f G, A... 64 Mawell Relatns... 65 Gbbs Free Energy G(,) (ure substances)... 67 Gbbs Free Energy fr Mtures... 68 ΔG f deal
More informationplot of velocity-distribution in vertical
620 TRANSACTIONS, AMERICAN GEOPHYSICAL UNION Fgure. Dmensnless plt f velcty-dstrbutn n vertcal Table l. The curves are very nearly parallel wthn the range shwn. The dsplacement s due t the tact that equatn
More informationDepartment of Civil Engineering & Applied Mechanics McGill University, Montreal, Quebec Canada
Department f Cvl Engneerng & Appled Mechancs McGll Unversty, Mntreal, Quebec Canada CIVE 90 THEMODYNAMICS & HEAT TANSFE Assgnment #6 SOUTIONS. Cnsder a.-m hgh and -m-wde duble-pane wndw cnsstng f tw 3-mmthck
More informationV. Electrostatics Lecture 27a: Diffuse charge at electrodes
V. Electrstatcs Lecture 27a: Dffuse charge at electrdes Ntes by MIT tudent We have talked abut the electrc duble structures and crrespndng mdels descrbng the n and ptental dstrbutn n the duble layer. Nw
More informationFinal Exam Spring 2014 SOLUTION
Appled Opts H-464/564 C 594 rtland State nverst A. La Rsa Fnal am Sprng 14 SOLTION Name There are tw questns 1%) plus an ptnal bnus questn 1%) 1. Quarter wave plates and half wave plates The fgures belw
More informationChapter 2 GAUSS LAW Recommended Problems:
Chapter GAUSS LAW Recmmended Prblems: 1,4,5,6,7,9,11,13,15,18,19,1,7,9,31,35,37,39,41,43,45,47,49,51,55,57,61,6,69. LCTRIC FLUX lectric flux is a measure f the number f electric filed lines penetrating
More informationAn Interactive Optimisation Tool for Allocation Problems
An Interactve Optmsaton ool for Allocaton Problems Fredr Bonäs, Joam Westerlund and apo Westerlund Process Desgn Laboratory, Faculty of echnology, Åbo Aadem Unversty, uru 20500, Fnland hs paper presents
More informationThermodynamics of Materials
Thermdynamcs f Materals 14th Lecture 007. 4. 8 (Mnday) FUGACITY dg = Vd SdT dg = Vd at cnstant T Fr an deal gas dg = (RT/)d = RT dln Ths s true fr deal gases nly, but t wuld be nce t have a smlar frm fr
More informationComputing MLE Bias Empirically
Computng MLE Bas Emprcally Kar Wa Lm Australan atonal Unversty January 3, 27 Abstract Ths note studes the bas arses from the MLE estmate of the rate parameter and the mean parameter of an exponental dstrbuton.
More informationThis column is a continuation of our previous column
Comparson of Goodness of Ft Statstcs for Lnear Regresson, Part II The authors contnue ther dscusson of the correlaton coeffcent n developng a calbraton for quanttatve analyss. Jerome Workman Jr. and Howard
More informationPipetting 101 Developed by BSU CityLab
Discver the Micrbes Within: The Wlbachia Prject Pipetting 101 Develped by BSU CityLab Clr Cmparisns Pipetting Exercise #1 STUDENT OBJECTIVES Students will be able t: Chse the crrect size micrpipette fr
More informationNegative Binomial Regression
STATGRAPHICS Rev. 9/16/2013 Negatve Bnomal Regresson Summary... 1 Data Input... 3 Statstcal Model... 3 Analyss Summary... 4 Analyss Optons... 7 Plot of Ftted Model... 8 Observed Versus Predcted... 10 Predctons...
More informationIN a recent article, Geary [1972] discussed the merit of taking first differences
The Efficiency f Taking First Differences in Regressin Analysis: A Nte J. A. TILLMAN IN a recent article, Geary [1972] discussed the merit f taking first differences t deal with the prblems that trends
More informationBiplots in Practice MICHAEL GREENACRE. Professor of Statistics at the Pompeu Fabra University. Chapter 13 Offprint
Biplts in Practice MICHAEL GREENACRE Prfessr f Statistics at the Pmpeu Fabra University Chapter 13 Offprint CASE STUDY BIOMEDICINE Cmparing Cancer Types Accrding t Gene Epressin Arrays First published:
More informationACOUSTIC LOGGING GUIDED WAVES IN TRANSVERSELY ISOTROPIC FORMATIONS
ACOUSTIC LOGGING GUIDED WAVES IN TRANSVERSELY ISOTROPIC FORMATIONS by K. J. Ellefsen, C. H. Cheng, and D.P. Schmitt" Earth Resurces Labratry Department f Earth, Atmspheric, and Planetary Sciences Massachusetts
More informationCluster Validation Determining Number of Clusters. Umut ORHAN, PhD.
Cluster Analyss Cluster Valdaton Determnng Number of Clusters 1 Cluster Valdaton The procedure of evaluatng the results of a clusterng algorthm s known under the term cluster valdty. How do we evaluate
More informationA PLETHORA OF MULTI-PULSED SOLUTIONS FOR A BOUSSINESQ SYSTEM. Department of Mathematics, Penn State University University Park, PA16802, USA.
A PLETHORA OF MULTI-PULSED SOLUTIONS FOR A BOUSSINESQ SYSTEM MIN CHEN Department f Mathematics, Penn State University University Park, PA68, USA. Abstract. This paper studies traveling-wave slutins f the
More informationPhysics 2B Chapter 23 Notes - Faraday s Law & Inductors Spring 2018
Michael Faraday lived in the Lndn area frm 1791 t 1867. He was 29 years ld when Hand Oersted, in 1820, accidentally discvered that electric current creates magnetic field. Thrugh empirical bservatin and
More informationConduction Heat Transfer
Cnductn Heat Transfer Practce prblems A steel ppe f cnductvty 5 W/m-K has nsde and utsde surface temperature f C and 6 C respectvely Fnd the heat flw rate per unt ppe length and flux per unt nsde and per
More informationLab #3: Pendulum Period and Proportionalities
Physics 144 Chwdary Hw Things Wrk Spring 2006 Name: Partners Name(s): Intrductin Lab #3: Pendulum Perid and Prprtinalities Smetimes, it is useful t knw the dependence f ne quantity n anther, like hw the
More informationVASANTI N BHAT-NAYAK and UJWALA N DESHMUKH*
Proc. ndan Acad. Sc. (Math. Sc.), Vol. 106, No. 2, May 1996, pp. 201-216. 9 Prnted n nda New famles of graceful banana trees VASAN N BHA-NAYAK and UJWALA N DESHMUKH* Department of Mathematcs, Unversty
More informationPLEASURE TEST SERIES (XI) - 07 By O.P. Gupta (For stuffs on Math, click at theopgupta.com)
A Cmpilatin By : OP Gupta (WhatsApp @ +9-9650 50 80) Fr mre stuffs n Maths, please visit : wwwtheopguptacm Time Allwed : 80 Minutes Max Marks : 00 SECTION A Questin numbers 0 t 0 carry mark each x x 5
More informationAircraft Performance - Drag
Aircraft Perfrmance - Drag Classificatin f Drag Ntes: Drag Frce and Drag Cefficient Drag is the enemy f flight and its cst. One f the primary functins f aerdynamicists and aircraft designers is t reduce
More informationx = , so that calculated
Stat 4, secton Sngle Factor ANOVA notes by Tm Plachowsk n chapter 8 we conducted hypothess tests n whch we compared a sngle sample s mean or proporton to some hypotheszed value Chapter 9 expanded ths to
More informationCokriging Partial Grades - Application to Block Modeling of Copper Deposits
Cokrgng Partal Grades - Applcaton to Block Modelng of Copper Deposts Serge Séguret 1, Julo Benscell 2 and Pablo Carrasco 2 Abstract Ths work concerns mneral deposts made of geologcal bodes such as breccas
More informationLesson Plan. Recode: They will do a graphic organizer to sequence the steps of scientific method.
Lessn Plan Reach: Ask the students if they ever ppped a bag f micrwave ppcrn and nticed hw many kernels were unppped at the bttm f the bag which made yu wnder if ther brands pp better than the ne yu are
More informationChapter Summary. Mathematical Induction Strong Induction Recursive Definitions Structural Induction Recursive Algorithms
Chapter 5 1 Chapter Summary Mathematical Inductin Strng Inductin Recursive Definitins Structural Inductin Recursive Algrithms Sectin 5.1 3 Sectin Summary Mathematical Inductin Examples f Prf by Mathematical
More informationA proposition is a statement that can be either true (T) or false (F), (but not both).
400 lecture nte #1 [Ch 2, 3] Lgic and Prfs 1.1 Prpsitins (Prpsitinal Lgic) A prpsitin is a statement that can be either true (T) r false (F), (but nt bth). "The earth is flat." -- F "March has 31 days."
More informationDetermining the Accuracy of Modal Parameter Estimation Methods
Determining the Accuracy f Mdal Parameter Estimatin Methds by Michael Lee Ph.D., P.E. & Mar Richardsn Ph.D. Structural Measurement Systems Milpitas, CA Abstract The mst cmmn type f mdal testing system
More informationMagnetic Field Around The New 400kV OH Power Transmission Lines In Libya
ECENT ADVANCES n ENEGY & ENVIONMENT Magnetc Feld Around The New kv OH Power Transmsson Lnes In Lbya JAMAL M. EHTAIBA * SAYEH M. ELHABASHI ** Organzaton for Development of Admnstratve Centers, ODAC MISUATA
More informationVARIETIES OF COTTON. Xo. OS and 1906 AGRICULTURAL COLLEGE, BTLTT.I.1^7IM>r. Mississippi Agricultural Experiment Station. By W R. PERKINS. MISS.
Mississippi Agricultural Eximent Statin. BTLTT.I.1^7IM>r X. OS. VARIETIES OF COTTON 1905 and 1906 By W R. PERKINS. AGRICULTURAL COLLEGE, MISS. January, 1907. VARIETIES OF COTTON- 1905 and 1906. W. R.
More informationPhysics 2010 Motion with Constant Acceleration Experiment 1
. Physics 00 Mtin with Cnstant Acceleratin Experiment In this lab, we will study the mtin f a glider as it accelerates dwnhill n a tilted air track. The glider is supprted ver the air track by a cushin
More informationOnline Classification: Perceptron and Winnow
E0 370 Statstcal Learnng Theory Lecture 18 Nov 8, 011 Onlne Classfcaton: Perceptron and Wnnow Lecturer: Shvan Agarwal Scrbe: Shvan Agarwal 1 Introducton In ths lecture we wll start to study the onlne learnng
More informationCIRCUIT ANALYSIS II Chapter 1 Sinusoidal Alternating Waveforms and Phasor Concept. Sinusoidal Alternating Waveforms and
U ANAYSS hapter Snusdal Alternatng Wavefrs and Phasr ncept Snusdal Alternatng Wavefrs and Phasr ncept ONNS. Snusdal Alternatng Wavefrs.. General Frat fr the Snusdal ltage & urrent.. Average alue..3 ffectve
More informationEffect of Paramagnetic Ions in Aqueous Solution for Precision Measurement of Proton Gyromagnetic Ratio
240 Bulletin f Magnetic Resnance Effect f Paramagnetic Ins in Aqueus Slutin fr Precisin Measurement f Prtn Gyrmagnetic Rati Ae Ran Lim, Chang Suk Kim Krea Research Institute f Standards and Science, Taejn
More information