Sherryl M. McGuire Center for Public Management, University of Oklahoma, Norman, Oklahoma, U.S.A.

Size: px
Start display at page:

Download "Sherryl M. McGuire Center for Public Management, University of Oklahoma, Norman, Oklahoma, U.S.A."

Transcription

1 ADLESCENTS AT RISK: ALCHL AND DRUG-RELATED DRIVING AMNG KLAHMA YUTH Sherryl M. MGuire Center fr Publi Management, University f klahma, Nrman, klahma, U.S.A. Summary. In a study, ver half f all yuth in tw klahma mmunities reprted drinking/using drugs and driving, r riding with a driver wh had been drinking/using. The impliatins f the study are, that while yuth may be mre aware f the risks, new initiatives will be needed beynd what has already been amplished t further redue yuthful drinking/using drugs and driving. The researh prjet assesses the impat f the Yung klahma Drinking Driving Alternative (YDDA), mmunity-wide drinking and driving preventin prgram. The assessment was dne thrugh a pretest and psttest survey nduted in tw klahma mmunities. Fllwing the pretest and prir t the psttest, Cmmunity I served as a test mmunity, where the drinking and driving preventin prgram was nduted; Cmmunity II served as the ntrl mmunity. In examining the YDDA mmunity-wide drinking and driving preventin prjet three riteria were determined t be relevant. These three measures diretly relate t the gals f the prjet: 1) T identify and evaluate the hanges, if any, in the attitudes f yung persns in favr f redued drinking and driving; 2) T identify and evaluate the hanges, if any, in the pereptin f a valid and effetive deterrene t drinking and driving, and 3) T identify and evaluate the hanges, if any, in the reprted behavirs f drinking and driving amng yuth. Survey Methds The ttal pretest sample was 821 and the psttest sample was 769 high shl and llege age yuth. The samples inluded all f the Cmmunity II 540

2 High Shl ppulatin, ages 16-18, a majrity f the Cmmunity I High Shl ppulatin, ages 16-18, and representative samples frm the llege in eah mmunity whih inluded ages A pretest and psttest design fr test and ntrl mmunities was seleted fr identifying any hanges that tk plae as a result f the mmunity prjet. N interventins were made in the ntrl mmunity, and several were nduted in the test mmunity. The pre and psttest survey instrument was based n the three prgram riteria: attitudes related t drinking and driving, pereptin f a valid and effetive deterrene, and reprted behavirs related t drinking and driving. The psttest was administered apprximately six mnths after the pretest. Table 1 speifies the number f yuth frm eah shl in the tw mmunities, inluding age, gender, upatin and highest eduatin level mpleted. Interventin ativities began in the high shl and llege tw weeks befre the psttest survey was administered. While it uld be argued this biased the results in the desirable diretin, in reviewing the fllwing survey results, it appears that it may nt have been enugh f an impat t atually affet the sample ppulatin, and was t late t atually make any differene. Reprted Attitudes f Yuth Tward Drinking and Driving The first riterin measure examined attitudes f yuth tward drinking and driving. The seven items are listed in Table 2, alng with the perentage f eah respnse t eah questin. Items were written s that ne answer was mst preferred r mst favrable and ther answers were prgressively less favrable t anti-drinking and driving attitudes and behavirs. The mre favrable answer was ded "5" r "4". The ther respnses were ded in desending rder t "1" indiating mvement twards the least favrable 541

3 respnse. Seven items made up the first index whih was summed t frm an verall attitude index. Fr the attitude index the maximum sre is "35." These statistis were then used t alulate the differene, if any, between the pretest and psttest indies. There was n signifiane between that the pretest and psttest surveys in either mmunity. The interventins made in Cmmunity I appear nt t have made any differene in yuthful attitudes t drinking/using and driving. acumulative perents fr eah statement may nt ttal 100 beause f runding. Numbers given fr eah statement may vary beause f missing data, whih has been eliminated in alulating perentages. Attitude hanges appear t have urred prir t the pretest, and the survey did nt detet any mre appreiable hange. Evidene that this is a fatr is frm the hanges in publi awareness desribed in the 1985 "Statewide Alhl Survey. Reprted Pereptins f Deterrene f Yuth Tward Drinking and Driving The send riterin measure examined several instanes related t drinking and driving, and heked the effetiveness f legal deterrene as well as plie predures. The six items are listed in Table 3 alng with the perentages f respnse t eah item. Respnses were ded the same as the attitude questinnaire items, with "5" being the mst favrable respnse and "1" being the least favrable respnse. Fr this deterrene index "30" is the maximum sre. Table 5 reprts the mean pretest and psttest sres fr the deterrene index in the tw mmunities. Again, there were n signifiant differenes in the pre and psttest sres f either mmunity. The interventins in Cmmunity I appear nt t have made any differene in yuthful pereptins f a 542

4 valid and effetive deterrene t drinking and driving. This uld be a refletin f already altered pereptins due t an inrease in publi awareness, r it uld be due t the interventin prjet itself--ineffetive ativities, insuffiient time t ndut the ativities prir t the psttest, r the inapprpriateness f measuring suh an ativity when it is really a part f a larger effrt t hange pereptins f deterrene. Reprted Behavirs f Yuth Tward Drinking and Driving The third riterin measure examined reprted behavirs f yuth related t drinking and driving. Fur items made up the behavir index and are listed in Table 4. Questins inlude drinking/using drugs just befre r during a trip in the ar, persnally driving a ar while drinking, riding with a driver wh has been drinking r using drugs, and attempting t stp a friend frm drinking and driving. The respnses were ded the same as the abve tw indies, with "5" being the mst favrable respnse tward anti-drinking and driving behavirs and "1" being the least favrable respnse. Fr this behavir index "16" is the maximum sre. There were n signifiant differenes in the pretest and psttest survey fr either mmunity. The interventins made in Cmmunity I appear nt t have made any differene in the reprted behavirs related t drinking and driving, r as nted abve, this is ne f several ativities that annt be measured separately. There are three ther survey items related t yuthful drinking and driving behavirs. Table 5 reprts the respnses n tw f these items whih ask yuth t estimate the perentage f ther yuth wh drink and drive and the perentage f their friends wh drink and drive. The third item questins yuth as t whether they have hanged their drinking and driving behavir in 543

5 the past six mnths and if s, in what way they have hanged their drinking and driving behavir. Respnses fllwed the same pattern as the ther indies; there was n differene between the pretest and psttest sres. Cnlusin The mmunity-wide drinking and driving preventin prjet that YDDA nduted in mmunities was ne f several urrent awareness prgrams aimed at hanging publi pereptins and attitudes. ver the last six t seven years, an inrease in publi awareness was affeted by the natinal, state, and lal strategies t redue drinking and driving. It appears that the impat f this general attitude shift in publi awareness annt be separated frm the YDDA mmunity prjet. It annt definitely be determined whether the lak f signifiant hange amng yuth was beause bth mmunities had already experiened sme basi hanges r beause the YDDA prjet was ineffetive. In reviewing the 1983 and 1985 statewide survey f drinkers aged with the pre and pst mmunity surveys, and assuming sme relatinship between the tw, there is an indiatin that behavirs had already hanged t sme extent, prir t the mmunity pretest. There is als sme evidene that while the YDDA mmunity prjet did nt hange attitudes, nr the pereptins f a valid and effetive deterrene, nr behavirs related t drinking and driving, it may have played a rle as ne f several prjets nduted in klahma between 1983 and 1985 related t alhl untermeasures whih fussed n yuth. ther statewide data substantiates a derease in yuthful drivers invlved in alhl-related aidents. Statistis reveal that 3,387 klahma yuthful drivers (age 13-21) were invlved in alhl-related aidents in 1981, mpared t 2,942 in 1982, 2,302 in 1983, 1,927 in 1984, and 1,289 in With an already dereasing inidene f yuthful drivers invlved in alhl- 544

6 related aidents, there is strng evidene that the inrease in the publi's verall awareness and the inreased enfrement f drunk drivers had already started having an effet when YDDA's mmunity-wide drinking and driving preventin prjet in Therefre, the effet f the mmunity prjet, while likely t have ntributed t the publi awareness, annt be separated frm the varius ther ativities that addressed this prblem at the time. While the mmunity interventin prjet alne des nt appear t have a signifiant impat fr hanging yuth related t drinking and driving, ver the past three years it has been an integral part f the establishment f the eduatinal prgram in klahma mmunities. Wrking with the plie, raising the pereptins fr the need t hange drinking and driving behavirs amng yuth as well as pereptins f mmunity ffiials has been a neessary step in raising mmunity supprt fr the eduatinal prgram. Histrially, the prblem f drunk driving amng yuth has been reslved infrmally based n a desire nt t stigmatize yuth fr life sine yung persns are harateristially mre likely t make errrs f judgment. YDDA'S mmunity preventin ativities have played a rle in hanging these pereptins and habits t the extent that nsiderable numbers were referred t YDDA's eduatinal prgram fr yuthful ffenders ver the three-year perid. While the number f yuth invlved in "DUI shls" prir t YDDA's existene is nt available, there is learly mre referrals amng ages than previus years. ffiials reprted that prir t the existene f YDDA, they frequently did nt refer yuth t a DUI shl beause it was inapprpriate fr yuthful ffenders (wh were ften first-time ffenders) t be gruped with adult ffenders in a prgram frmat ften designed fr lder persns. 545

7 In summary, the impat f the YDDA Cmmunity Interventin Prjet, appears t have had little effet upn the yuth it targeted. analysis, hwever, the prjet did nt atually stand alne. In further It appears t be ne f a grup f prjets that have had an effet upn klahma's publi attitudes and reprted behavirs. The mmunity prjet has als been an imprtant part f the publi relatins, and inreased mmunity awareness. It has led t supprt frm referring ffiials fr YDDA's eduatinal prgram. Statewide data reveals a substantial derease frm 1981 t 1985 in yuthful drivers invlved in alhl-related aidents.2 There was a 62 perent derease ver this time perid. These dramati dereases ver the five years prir t the mmunity prjet, and the ntinued dwnward trend in these statistis after the prjet, indiate that the statewide effrt t impat upn this prblem was suessful, and there is evidene that the YDDA eduatinal prgram3 and the mmunity prgram were ne f the several prgrams that hanged attitudes and ultimately behavirs whih reated the large derease. Remmendatins The YDDA Cmmunity Interventin Prjet, while it alne is nt likely t prdue verifiable hanges in yuthful attitudes, pereptin f deterrene r behavir hange related t drinking and driving, did appear t be ne fatr amng many fatrs urring at this time whih ntributed t a majr derease in fatalities and serius injuries. Suh a prjet nduted in mmunities with n speifi, measurable gals is nt likely t prdue measurable hanges. n the ther hand, when mbined with ther prgrams in a larger, mre strategially-linked effrt t impat upn well-defined prblems, an be an imprtant effrt ntributing t the verall utme, i.e. yuthful drivers in alhl-related aidents. In njuntin with ther media and publi ampaign prgrams aimed at inreasing yuthful pereptins tward anti-drinking and 546

8 driving attitudes and behavirs, the YDDA Cmmunity Interventin Prjet is likely t be effetive in reduing fatalities and serius injuries. The dilemma is in measuring the psitive effets f this type f a prgram when it is inextriably tied t the entire effrt. Nevertheless, there appears t be a definite need fr suh prgrams in njuntin with a larger strategy in reduing fatalities and serius injuries. In additin, YDDA's Cmmunity Interventin Prjet is an imprtant fatr in YDDA's entry int a mmunity fr the ntinuane f effetive mmunity relatins t supprt the yuthriented eduatinal prgram. Bibligraphy 1. Bureau f Gvernment Researh. (1985). Statewide Alhl Survey: Driving Under the Influene and Use f upant Prtetin Devies. Nrman, klahma: University f klahma. 2. klahma Highway Safety ffie, Bureau f Gvernment Researh. (1986). Cntinuatin f the Yung klahman Drinking Driving Alternative Cmmunity Evaluatin. Nrman, klahma: University f klahma. 547

9 TABLE 1 DEMGRAPHICS F YUTHFUL PPULATIN (PERCENTS)* Cmmunity I Pst Cmmunity II Pre Pst Ttal Pre Pst Ttal Sample (N=407) (n=401) (n=414) (n=368) (n=821) (n= Sub-ruD f Ppulatin High shl Age 16 years Gender Female Male upatin Farm Clerial Servie Skilled and unskilled trades Paraprfessinal ther Eduat in grade High shl graduate Vatinal r tehnial years llege years llege Cumulative perents fr eah statement may nt ttal 100 beause f runding. Numbers given fr eah statement may vary beause f missing data, whih has been eliminated in alulating perentages. 548

10 N - r ^ vt *- ' ii ' ii ' C 3 2 ' 'S ' in v j in in v t ' ' st r j r r r r r 4" r *4- r v* «- >a-vt ' ' ' r r ' & r - ' 3 in nj >4" *4* ' -4- 'j-nj- ' ' ' > * vt ^ ' ' 8 8 Ü PERCENTAGE F REPRTED YUTHFUL ATTITUDES TUARD DRINKING AND DRIVING (PRETEST and PSTTEST) 2r 8 <0 _ C C/>Q 4-» (D z J - t_ > QJ <u L (A < ) C < )<u - (0 *-> /> ' J CM J ' N- «- in r j r ' j «- «- r r Nir r T - ' r j r j r sj h - r > C N r? %»/ w tl ~a g (0 g i n r z z z _ TJ/N/ N. J r- J ' C C in r > ' ii ^3 r ' t! 'J- (Nl*- C ft) -8^ t «r j rvj 1 N-* Ni r r r Q- 4-t C ' in J +-» r! 0> <> > * C\J r C r 1-4 J H- T in L. ' > «1 H- V/ a> i_ -C +-* h- >a in >* a a> ' «- u j I r sj r i n in '4->a- r in in N - «- r r^. r^ ' J J ft) s~\ > «N* t - ' N - " J J TJ D «- C\J 3 r j. ' J ^ > C C i M- <u C 3 Ü >* _ > "E 13 C D Ü (D n M + * 4-» 3 ft) 8.C > TJ ft) Perents in parentheses indiate p re te s t. 549

11 ' ' > r r S 3 r r a* r- ' r r 8 3 r r 0* r^ s' r r r r \i «- >1- >* r «- «- *4- nj- 4- «- T- Nir >4- >* >* «- N* Ni- C r 'J- PERCENTAGE F REPRTED YUTHFUL PERCEPTINS F DETERRENCE TWARD DRINKING AND DRIVING (PRETEST AND PSTTEST) SZ D C 2= C g > +J ' ' N- N- r r u (D ' a a> _ 3 / > M D H - *- «- N* r r r r r r C C" r v t r ' r r >1- r r * > r CM L. /~N _C TJ ^ N / N /- \ r r^ N 00 CM CM C CM r r! r >«? CMin in m vt w > * r «r- r CM s/ V s/ ) -* ' * C_ X) ** in ' " r CMCM >a- ' «CM CCM CMCM *->? C C Y "X /-» D / s Sj- > ' r- C C CM' C L. in «CM T- ' 4-» * T N- in C CMCM 3 r CM r- -r- W rsj J N_^ w r w w Cw _ >0 ' a j C IT» C +J.. (\1 CM C (1) ' in m x: *- «- ^ ^ i- CCM D N 'f s. in in M J CM C 0 x-x m in (u in '.C CM CM >-» D T> D 2 is- D ' ' > * r - r - 4-» CÖ r* /*n 4-* ' «- Ö)S «CM r- (J ^ C (D - C 1_ +-* in «- r.. t_ > (Ö r~ «C *-N /"» 3 ^ 0 " s "S w r N - N-* 4-» r r r r 4-* JC 2, / s C M r ) ' in D) ' C r ' r >«> r r > «C -M 4-* _ L. " T J? ) > _ * * ^ ^ ^ C»-* -M C 4-* 4-» r ' CM ' r N- L. «N_ / > N - CM r- ' «- «- C M «- v / v / ^ vy r «- Q).. t- r r- r r m r CM (1) 1 03 ' ' T J '* ' r nj- L ^ /-N - ' i n > >a- in C v v Ü ' ' ** «- 13 r in >«r m r r 5 ^ ni 3 r r ^ 2 C M ' r r v r S r > 4 Q) r r TJ C (0 i H- C 3 Ü >* C D ü >** i 4-» _ CL C * +-»D C l_ 8- >-g CL Q) Q. XI 550

12 00 ' in r r > v r r r ' m r r in ' r r ' v* ' * 8: PERCENTAGE F REPRTED YUTHFUL BEHAVIRS TWARD DRINKING AND DRIVING (PRETEST AND PSTTEST) * I rsj I h* C -C M +J C/) 8: _ r >* 8: ^ ) in C N - <) hj r r N- CM v \j ' CM «- m ' 'S* 0 l - T> D T3 t- Q. > - ) 4-». (0 C/5 D ) C ^ s C C )'^ *-* C C 3 1 "C ' t- _ *-> (/) >» t- E Q. M- H- CL) <U-Q i C CA Q D -C 's* >* s4- ' ' N» N- ' N - r - «- CM m r r r N- v* r r m r >* r <1> C C > C J -C njr 3t_ " _ 3 > x: m> u C 8.» QJ C ' T3 -C S s _ 5 I Ü 8:: ' > ' r r\ ' ' ' r m CM ' N» C in r CM N- r \j m in r N- CM CM «- ' ' >* C ' in N* M C (0 > 3» Ü T> +J C > D) C X Q. 3 D) C -C 4-* > C tl Z TJ TJ 8! Kl>* ' I I ' ' in r r r v r ^ ' 'S* > * r C ' r r t > ) L. C -C H- "» L. Cfl H - TJ X M l_ <U C -M 6 H- C0 ' a > 4-» 4-J C CC > Q- - 4-* t_ T3 ~.? g in LU C < < - H in LU DC a. a a z < LU» 5 C LU C3 < in N- 5* in CM 8.r in T - >* >* ' i n N. CM W t - v * t j r r r~ 3 0 0' Q. ' ' D r r v D >s> >.rs *- * C - - CMCM a C C + - <1) ) T - M C CM «- a> «>* >* ' ' d ' r v* > CM C in in > >*>* j- T3CMCM rs. r D * in >0*r^ CMr >* ' *4- CMCM CM *** > C «- C i n r (1) CM CM L ^*s s.'*. N - C a> m «- /-N - V V V *-* Cumulative perents fr eah statement may nt ttal 100 beause f runding. Numbers given fr eah statement may vary beause f missing data, whih has been eliminated in alulating perentages. 551

Chem 116 POGIL Worksheet - Week 8 Equilibrium Continued - Solutions

Chem 116 POGIL Worksheet - Week 8 Equilibrium Continued - Solutions Chem 116 POGIL Wrksheet - Week 8 Equilibrium Cntinued - Slutins Key Questins 1. Cnsider the fllwing reatin At 425 C, an equilibrium mixture has the fllwing nentratins What is the value f K? -2 [HI] = 1.01

More information

Author(s) Nguyen, Thi Phuong Thao; Pham, Hung.

Author(s) Nguyen, Thi Phuong Thao; Pham, Hung. Title ESTIMATION OF CANCER RISK BY BENZEN FROM VEHICLES Authr(s) Kaga, Akikazu; Knd, Akira; Shi, S Nguyen, Thi Phung Tha; Pham, Hung Annual Reprt f FY 24, The Cre Citatin between Japan Siety fr the Prm

More information

Exam Review Trigonometry

Exam Review Trigonometry Exam Review Trignmetry (Tyler, Chris, Hafsa, Nasim, Paniz,Tng) Similar Triangles Prving Similarity (AA, SSS, SAS) ~ Tyler Garfinkle 3 Types f Similarities: 1. Side Side Side Similarity (SSS) If three pairs

More information

Study Group Report: Plate-fin Heat Exchangers: AEA Technology

Study Group Report: Plate-fin Heat Exchangers: AEA Technology Study Grup Reprt: Plate-fin Heat Exchangers: AEA Technlgy The prblem under study cncerned the apparent discrepancy between a series f experiments using a plate fin heat exchanger and the classical thery

More information

Gains in Activation Energy from Quasi Fermi Splitting, In Selectively Doped MQW Solar Cells

Gains in Activation Energy from Quasi Fermi Splitting, In Selectively Doped MQW Solar Cells Gains in Ativatin Energy frm Quasi ermi Splitting, In Seletively Dped MQW Slar Cells ARGYRIOS C. VARONIDES, ROBERT A. SPALLETTA ANDREW W. BERGER Department f Physis and Eletrial Engineering, University

More information

Changes in Young Men's Attitudes toward Military Service: Jerald G. Bachman Survey Research Center The University of Michigan

Changes in Young Men's Attitudes toward Military Service: Jerald G. Bachman Survey Research Center The University of Michigan Changes in Yung Men's Attitudes tward Military Service: Fall 1966 t Spring 1968 INSTITUTE FR SCIAL RESEARCH LIBRARY Jerald G. Bachman Survey Research Center The University f Michigan 9 f ARCHIVE I am a

More information

Math 9 Year End Review Package. (b) = (a) Side length = 15.5 cm ( area ) (b) Perimeter = 4xside = 62 m

Math 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 information

JOINT HIGHWAY RESEARCH PROJECT FHWA/IN/JHRP-80/9 MODELLING TECHNIQUES IN TRANSPORTATION PLANNING FOR SMALL URBAN AREAS INDIANA UNIVERSITY

JOINT HIGHWAY RESEARCH PROJECT FHWA/IN/JHRP-80/9 MODELLING TECHNIQUES IN TRANSPORTATION PLANNING FOR SMALL URBAN AREAS INDIANA UNIVERSITY SHOOL OF IVIL ENGINEERING PURDUE MDIANA STATE UNIVERSITY HIGHWAY OMMISSION JOINT HIGHWAY RESEARH PROJET FHWA/IN/JHRP-80/9 USE OF SYNTHETI DEMAND MODELLING TEHNIQUES IN TRANSPORTATION PLANNING FOR SMALL

More information

ELEVENTH YEAR MATHEMATICS

ELEVENTH YEAR MATHEMATICS The University f the State f New Yrk REGENTS HIGH SHOOL EXAMINATION ELEVENTH YEAR MATHEMATIS Mnday, June 8, 973- :5 t 4 :5 p.m., nly The last page f the bklet is the answer sheet. Fld the last page alng

More information

How T o Start A n Objective Evaluation O f Your Training Program

How T o Start A n Objective Evaluation O f Your Training Program J O U R N A L Hw T Start A n Objective Evaluatin O f Yur Training Prgram DONALD L. KIRKPATRICK, Ph.D. Assistant Prfessr, Industrial Management Institute University f Wiscnsin Mst training m e n agree that

More information

CONSTRUCTING STATECHART DIAGRAMS

CONSTRUCTING STATECHART DIAGRAMS CONSTRUCTING STATECHART DIAGRAMS The fllwing checklist shws the necessary steps fr cnstructing the statechart diagrams f a class. Subsequently, we will explain the individual steps further. Checklist 4.6

More information

Chemical Engineering 160/260 Polymer Science and Engineering. Lecture 15: Molecular Aspects of Polymer Rheology February 21, 2001

Chemical Engineering 160/260 Polymer Science and Engineering. Lecture 15: Molecular Aspects of Polymer Rheology February 21, 2001 Chemial Engineering 160/260 Plymer Siene and Engineering Leture 15: Mleular Aspets f Plymer Rhelgy February 21, 2001 Objetives! T intrdue the nept f saling analysis t aunt fr the nentratin and mleular

More information

Content 1. Introduction 2. The Field s Configuration 3. The Lorentz Force 4. The Ampere Force 5. Discussion References

Content 1. Introduction 2. The Field s Configuration 3. The Lorentz Force 4. The Ampere Force 5. Discussion References Khmelnik S. I. Lrentz Fre, Ampere Fre and Mmentum Cnservatin Law Quantitative. Analysis and Crllaries. Abstrat It is knwn that Lrentz Fre and Ampere fre ntradits the Third Newtn Law, but it des nt ntradit

More information

CHAPTER 3 INEQUALITIES. Copyright -The Institute of Chartered Accountants of India

CHAPTER 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 information

DEPTH PERCEPTION WITH YELLOW GOGGLES. Jo Ann S. Kinney, Ph.D. S. M. Luria, Ph.D. Christine L. Schlichting, Ph.D. David F. Neri, B.A.

DEPTH PERCEPTION WITH YELLOW GOGGLES. Jo Ann S. Kinney, Ph.D. S. M. Luria, Ph.D. Christine L. Schlichting, Ph.D. David F. Neri, B.A. %0 DEPTH PERCEPTION WITH YELLOW GOGGLES by J Ann S. Kinney, Ph.D. S. M. Luria, Ph.D. Christine L. Shlihting, Ph.D. David F. Neri, B.A. NAVAL SUBMARINE MEDICAL RESEARCH LABORATORY REPORT NUMBER 960 NAVAL

More information

A New Evaluation Measure. J. Joiner and L. Werner. The problems of evaluation and the needed criteria of evaluation

A New Evaluation Measure. J. Joiner and L. Werner. The problems of evaluation and the needed criteria of evaluation III-l III. A New Evaluatin Measure J. Jiner and L. Werner Abstract The prblems f evaluatin and the needed criteria f evaluatin measures in the SMART system f infrmatin retrieval are reviewed and discussed.

More information

CAUSAL INFERENCE. Technical Track Session I. Phillippe Leite. The World Bank

CAUSAL 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 information

Content 1. Introduction 2. The Field s Configuration 3. The Lorentz Force 4. The Ampere Force 5. Discussion References

Content 1. Introduction 2. The Field s Configuration 3. The Lorentz Force 4. The Ampere Force 5. Discussion References Khmelnik. I. Lrentz Fre, Ampere Fre and Mmentum Cnservatin Law Quantitative. Analysis and Crllaries. Abstrat It is knwn that Lrentz Fre and Ampere fre ntradits the Third Newtn Law, but it des nt ntradit

More information

Chapter 8: The Binomial and Geometric Distributions

Chapter 8: The Binomial and Geometric Distributions Sectin 8.1: The Binmial Distributins Chapter 8: The Binmial and Gemetric Distributins A randm variable X is called a BINOMIAL RANDOM VARIABLE if it meets ALL the fllwing cnditins: 1) 2) 3) 4) The MOST

More information

B. Definition of an exponential

B. Definition of an exponential Expnents and Lgarithms Chapter IV - Expnents and Lgarithms A. Intrductin Starting with additin and defining the ntatins fr subtractin, multiplicatin and divisin, we discvered negative numbers and fractins.

More information

Bulletin No Dry-Bean Variety Trials in Wyoming 1957 Through 1962

Bulletin No Dry-Bean Variety Trials in Wyoming 1957 Through 1962 University f Wyming Wyming Shlars Repsitry Wyming Agriultural Experiment Statin Bulletins Agriultural Experiment Statin 8-1-1963 Bulletin N. 407 - Dry-Bean Variety Trials in Wyming 1957 Thrugh 1962 University

More information

CS 477/677 Analysis of Algorithms Fall 2007 Dr. George Bebis Course Project Due Date: 11/29/2007

CS 477/677 Analysis of Algorithms Fall 2007 Dr. George Bebis Course Project Due Date: 11/29/2007 CS 477/677 Analysis f Algrithms Fall 2007 Dr. Gerge Bebis Curse Prject Due Date: 11/29/2007 Part1: Cmparisn f Srting Algrithms (70% f the prject grade) The bjective f the first part f the assignment is

More information

SURVEY RESEARCH CENTER Institute for Social Research University of Michigan HOUSING AT THE UNIVERSITY OF MICHIGAN

SURVEY RESEARCH CENTER Institute for Social Research University of Michigan HOUSING AT THE UNIVERSITY OF MICHIGAN SURVEY RESEARCH CENTER Institute fr Sial Researh University f Mihigan HOUSING AT THE UNIVERSITY OF MICHIGAN REPORT OF A SURVEY OF AMERICAN STUDENTS Rihard S. Staudt Frank M. Andrews June, 1965 Table f

More information

THE LABOUR MARKET. Employment

THE LABOUR MARKET. Employment THE LABOUR MARKET Emplyment Recent experience f changes in fficial estimates f emplyment data emphasise the need fr cautin amngst thse wh seek t interpret recent labur market trends. The quarterly emplyment

More information

CHAPTER 2 Algebraic Expressions and Fundamental Operations

CHAPTER 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 information

Hypothesis Tests for One Population Mean

Hypothesis Tests for One Population Mean Hypthesis Tests fr One Ppulatin Mean Chapter 9 Ala Abdelbaki Objective Objective: T estimate the value f ne ppulatin mean Inferential statistics using statistics in rder t estimate parameters We will be

More information

READING STATECHART DIAGRAMS

READING STATECHART DIAGRAMS READING STATECHART DIAGRAMS Figure 4.48 A Statechart diagram with events The diagram in Figure 4.48 shws all states that the bject plane can be in during the curse f its life. Furthermre, it shws the pssible

More information

Cambridge Assessment International Education Cambridge Ordinary Level. Published

Cambridge 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 information

Chemistry 20 Lesson 11 Electronegativity, Polarity and Shapes

Chemistry 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 information

Associated Students Flacks Internship

Associated Students Flacks Internship Assciated Students Flacks Internship 2016-2017 Applicatin Persnal Infrmatin: Name: Address: Phne #: Years at UCSB: Cumulative GPA: E-mail: Majr(s)/Minr(s): Units Cmpleted: Tw persnal references (Different

More information

This project has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement number

This project has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement number This prject has received funding frm the Eurpean Unin s Hrizn 2020 research and innvatin prgramme under grant agreement number 727524. Credit t & http://www.h3uni.rg/ https://ec.eurpa.eu/jrc/en/publicatin/eur-scientific-andtechnical-research-reprts/behaviural-insights-appliedplicy-eurpean-reprt-2016

More information

IN ANALYZING DISABILITY" OR FUNCTIONAL

IN ANALYZING DISABILITY OR FUNCTIONAL Epidemilgial, Demgraphi, and Sial Crrelates f Disability am ng the Elderly KENNETH G. MANTON Duke University IN ANALYZING DISABILITY" OR FUNCTIONAL impairment amng subgrups f the ppulatin f the United

More information

Licensing and Competition for Services in Open Source Software

Licensing and Competition for Services in Open Source Software Liensing and Cmpetitin fr Servies in Open Sure Sftware Terrene August Rady Shl f Management University f Califrnia, San Dieg Hyduk Shin Rady Shl f Management University f Califrnia, San Dieg Tunay I. Tuna

More information

WHY SCHEDULES SLIP: ACTUAL REASONS FOR SCHEDULE PROBLEMS ACROSS LARGE AIR FORCE SYSTEM DEVELOPMENT EFFORTS THESIS. William M. Cashman, Captain, USAF

WHY SCHEDULES SLIP: ACTUAL REASONS FOR SCHEDULE PROBLEMS ACROSS LARGE AIR FORCE SYSTEM DEVELOPMENT EFFORTS THESIS. William M. Cashman, Captain, USAF WHY SCHDULS SLIP: ACTUAL RASONS FOR SCHDUL PROBLMS ACROSS LARG AIR FORC SYSTM DVLOPMNT FFORTS THSIS William M. Cashman, Captain, USAF i AFIT/GSM/LAP/95S-2 DPARTMNT OF TH AIR FORC DTIO QUALITY INSPCTD 8

More information

REGRESSION DISCONTINUITY (RD) Technical Track Session V. Dhushyanth Raju Julieta Trias The World Bank

REGRESSION DISCONTINUITY (RD) Technical Track Session V. Dhushyanth Raju Julieta Trias The World Bank REGRESSION DISCONTINUITY (RD) Technical Track Sessin V Dhushyanth Raju Julieta Trias The Wrld Bank These slides cnstitute supprting material t the Impact Evaluatin in Practice Handbk : Gertler, P. J.;

More information

Assessment Primer: Writing Instructional Objectives

Assessment Primer: Writing Instructional Objectives Assessment Primer: Writing Instructinal Objectives (Based n Preparing Instructinal Objectives by Mager 1962 and Preparing Instructinal Objectives: A critical tl in the develpment f effective instructin

More information

Greedy Algorithms. Kye Halsted. Edited by Chuck Cusack. These notes are based on chapter 17 of [1] and lectures from CSCE423/823, Spring 2001.

Greedy Algorithms. Kye Halsted. Edited by Chuck Cusack. These notes are based on chapter 17 of [1] and lectures from CSCE423/823, Spring 2001. #! Greedy Algrithms Kye Halsted Edited by Chuk Cusak These ntes are based n hapter 17 f [1] and letures frm CCE423/823, pring 2001. Greedy algrithms slve prblems by making the hie that seems best at the

More information

Heat Transfer and Friction Characteristics of Heat Exchanger Under Lignite Fly-Ash

Heat Transfer and Friction Characteristics of Heat Exchanger Under Lignite Fly-Ash The 20th Cnferene f Mehanial Engineering Netwrk f Thailand 18-20 Otber 2006, Nakhn Rathasima, Thailand Heat Transfer and Fritin Charateristis f Heat Exhanger Under ignite Fly-Ash Pipat Juangjandee 1*,

More information

Large Sample Hypothesis Tests for a Population Proportion

Large Sample Hypothesis Tests for a Population Proportion Ntes-10.3a Large Sample Hypthesis Tests fr a Ppulatin Prprtin ***Cin Tss*** 1. A friend f yurs claims that when he tsses a cin he can cntrl the utcme. Yu are skeptical and want him t prve it. He tsses

More information

Lecture 10 Adiabatic Processes

Lecture 10 Adiabatic Processes ASME231 Atmsheri hermdynamis NC A& State U Deartment f Physis Dr. Yuh-Lang Lin htt://meslab.rg ylin@nat.edu Leture 10 Adiabati Presses (Se.3.5 f Hess) [Classial equatin editr: 0 dq ] Definitin: If a thermdynami

More information

VALIDATION OF ONE-YEAR LAMI MODEL RE-ANALYSIS ON THE PO- VALLEY, NORTHERN ITALY. COMPARISON TO CALMET MODEL OUTPUT ON THE SUB-AREA OF VENETO REGION

VALIDATION OF ONE-YEAR LAMI MODEL RE-ANALYSIS ON THE PO- VALLEY, NORTHERN ITALY. COMPARISON TO CALMET MODEL OUTPUT ON THE SUB-AREA OF VENETO REGION VALIDATION OF ONE-YEAR LAMI MODEL RE-ANALYSIS ON THE PO- VALLEY, NORTHERN ITALY. COMPARISON TO CALMET MODEL OUTPUT ON THE SUB-AREA OF VENETO REGION Denise Pernigtti, Maria Sansne and Massim Ferrari Institute

More information

JOB SATISFACTION OF HOTEL ROOM ATTENDANTS. by SWEE HUA GOH, B.S. A THESIS IN RESTAURANT, HOTEL, AND INSTITUTIONAL

JOB SATISFACTION OF HOTEL ROOM ATTENDANTS. by SWEE HUA GOH, B.S. A THESIS IN RESTAURANT, HOTEL, AND INSTITUTIONAL JOB SATISFACTION OF HOTEL ROOM ATTENDANTS by SWEE HUA GOH, B.S. A THESIS IN RESTAURANT, HOTEL, AND INSTITUTIONAL MANAGEMENT Submitted t the Graduate Faulty f Texas Teh University in Partial Fulfillment

More information

DEPARTMENT OF HIGHWAYS JOINT HIGHWAY RESEARCH PROJECT INFORMATIONAL REPORT JHRP-85-1 PERFORMANCE RELATIONSHIP MODEL FOR HIGHWAYS. Fwa Sinha T.F. K.C.

DEPARTMENT OF HIGHWAYS JOINT HIGHWAY RESEARCH PROJECT INFORMATIONAL REPORT JHRP-85-1 PERFORMANCE RELATIONSHIP MODEL FOR HIGHWAYS. Fwa Sinha T.F. K.C. SCHOOL OF CIVIL ENGINEERING INDIANA DEPARTMENT OF HIGHWAYS 5 JOINT HIGHWAY RESEARCH PROJECT INFORMATIONAL REPORT JHRP-85- A ROUTINE MAINTENANCE AND PAVEMENT PERFORMANCE RELATIONSHIP MODEL FOR HIGHWAYS

More information

Lesson Plan. Recode: They will do a graphic organizer to sequence the steps of scientific method.

Lesson 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 information

Determining the Accuracy of Modal Parameter Estimation Methods

Determining 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 information

MECHANICAL DAMAGE TO CORN IN A PNEUMATIC CONVEYING SYST].

MECHANICAL DAMAGE TO CORN IN A PNEUMATIC CONVEYING SYST]. MECANICAL DAMAGE T RN IN A PNEUMATIC NVEYING SYST]. by CANG J 00 CUNG B.S. Seul Natinal University, 195*7 M.S. Seul Natinal University, 1959 A MASTER'S TESIS submitted in partial fulfillment f the requirements

More information

Population Structure and Migration Patterns of Atlantic Cod (Gadus morhua) in West Greenland Waters Based on Tagging Experiments from 1946 to 1964

Population Structure and Migration Patterns of Atlantic Cod (Gadus morhua) in West Greenland Waters Based on Tagging Experiments from 1946 to 1964 NAFO Sci. Cun. Studies, : - Ppulatin Structure and Migratin Patterns f Atlantic Cd (Gadus mrhua) in West Greenland Waters Based n Tagging Experiments frm t Hlger Hvgard Greenland Fisheries Research Institute

More information

Revision: August 19, E Main Suite D Pullman, WA (509) Voice and Fax

Revision: August 19, E Main Suite D Pullman, WA (509) Voice and Fax .7.4: Direct frequency dmain circuit analysis Revisin: August 9, 00 5 E Main Suite D Pullman, WA 9963 (509) 334 6306 ice and Fax Overview n chapter.7., we determined the steadystate respnse f electrical

More information

CITY OF Los ANGELES CALIFORNIA

CITY OF Los ANGELES CALIFORNIA BOAR OF BUILING AN SAFETY COMMISSIONERS CITY OF Ls ANGELES CALIFORNIA EPARTMENT OF BUILING AN SAFETY 21 NORTH FIGUEROA STREET los ANGELES, CA 912 HELENA JUBANY PRESIENT VAN AMBATIELOS VICE PRESIENT E.

More information

Lab #3: Pendulum Period and Proportionalities

Lab #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 information

Math 10 - Exam 1 Topics

Math 10 - Exam 1 Topics Math 10 - Exam 1 Tpics Types and Levels f data Categrical, Discrete r Cntinuus Nminal, Ordinal, Interval r Rati Descriptive Statistics Stem and Leaf Graph Dt Plt (Interpret) Gruped Data Relative and Cumulative

More information

Close!Reading!and!Text!Dependent!Questions!in!Science! Lunar!Rover!Making!Tracks!on!the!Moon!(Motion!and!Design!!Grade!4)!

Close!Reading!and!Text!Dependent!Questions!in!Science! Lunar!Rover!Making!Tracks!on!the!Moon!(Motion!and!Design!!Grade!4)! ClseReadingandTextDependentQuestinsinSiene LunarRverMakingTraksntheMn(MtinandDesign Grade4) Thetextseletin,LunarRver:MakingTraksntheMn,isfundin thestcmtinanddesignteaherguide,pgs52a53. Siene and Tehnlgy/ngineering

More information

SPECIMEN. Candidate Surname. Candidate Number

SPECIMEN. Candidate Surname. Candidate Number Candidate Frename General Certificate f Secndary Educatin Mdern Freign Languages Prtuguese - Writing Specimen Paper Candidates answer n the questin paper. Additinal materials: nne Centre Number Candidate

More information

BTIC GßMMI IKCJPüSCTBD 8. Setting Priorities for Graduate Medical Education. Center for Naval Analyses. CRM / February 1996

BTIC GßMMI IKCJPüSCTBD 8. Setting Priorities for Graduate Medical Education. Center for Naval Analyses. CRM / February 1996 CRM 95-29 / February 1996 Setting Pririties fr Graduate Medial Eduatin Neil B. Carey Marjrie D. Curia Oliver A. Smith 1996718 27 BTIC GßMMI IKCJPüSCTBD 8 Center fr Naval Analyses 441 Frd Avenue Alexandria,

More information

Effects of hydroxypropyl methylcellulose and polyvinyl alcohol on intraocular penetration of topical fluorescein m man

Effects of hydroxypropyl methylcellulose and polyvinyl alcohol on intraocular penetration of topical fluorescein m man Effects f hydrxyprpyl methylcellulse and plyvinyl alchl n intracular penetratin f tpical flurescein m man Stephen R. Waltman and Tully C. Patrwicz A slit lamp flurphtmeter was used t measure penetratin

More information

Differentiation Applications 1: Related Rates

Differentiation Applications 1: Related Rates Differentiatin Applicatins 1: Related Rates 151 Differentiatin Applicatins 1: Related Rates Mdel 1: Sliding Ladder 10 ladder y 10 ladder 10 ladder A 10 ft ladder is leaning against a wall when the bttm

More information

CHM112 Lab Graphing with Excel Grading Rubric

CHM112 Lab Graphing with Excel Grading Rubric Name CHM112 Lab Graphing with Excel Grading Rubric Criteria Pints pssible Pints earned Graphs crrectly pltted and adhere t all guidelines (including descriptive title, prperly frmatted axes, trendline

More information

FOR FBDSRAL Si SHTIWC AND TECHNTCAL ; ''^- ^jjggg,-.. Mlcrofiohe; I ***** PP/LJ Ml. i;;iä^ DYNAMICALLY LOADED REINFORCED CONCRETE BEAMS

FOR FBDSRAL Si SHTIWC AND TECHNTCAL ; ''^- ^jjggg,-.. Mlcrofiohe; I ***** PP/LJ Ml. i;;iä^ DYNAMICALLY LOADED REINFORCED CONCRETE BEAMS 00 " C L E A R Tl G H Q U S E FOR FBDSRAL Si SHTIWC AND TECHNTCAL ; ''^- ^jjggg,-.. Mlrfihe; Q I ***** PP/LJ Ml Tahnll Reprt ^^^^^ HINGING IN STATICALLY AND i;;iä^ DYNAMICALLY LOADED REINFORCED CONCRETE

More information

A Regression Solution to the Problem of Criterion Score Comparability

A Regression Solution to the Problem of Criterion Score Comparability A Regressin Slutin t the Prblem f Criterin Scre Cmparability William M. Pugh Naval Health Research Center When the criterin measure in a study is the accumulatin f respnses r behavirs fr an individual

More information

Model-Based Benchmarking with Application to Laboratory Buildings

Model-Based Benchmarking with Application to Laboratory Buildings Mdel-Based Benhmarking with Appliatin t Labratry Buildings Cntat persn: Cliffrd Federspiel Center fr Envirnmental Design Researh 390 Wurster all, #1839 Berkeley, CA 94720-1839 Tel (510) 643-1209 FAX (510)

More information

2004 AP CHEMISTRY FREE-RESPONSE QUESTIONS

2004 AP CHEMISTRY FREE-RESPONSE QUESTIONS 2004 AP CHEMISTRY FREE-RESPONSE QUESTIONS 6. An electrchemical cell is cnstructed with an pen switch, as shwn in the diagram abve. A strip f Sn and a strip f an unknwn metal, X, are used as electrdes.

More information

ENSC Discrete Time Systems. Project Outline. Semester

ENSC Discrete Time Systems. Project Outline. Semester ENSC 49 - iscrete Time Systems Prject Outline Semester 006-1. Objectives The gal f the prject is t design a channel fading simulatr. Upn successful cmpletin f the prject, yu will reinfrce yur understanding

More information

Department of Economics, University of California, Davis Ecn 200C Micro Theory Professor Giacomo Bonanno. Insurance Markets

Department of Economics, University of California, Davis Ecn 200C Micro Theory Professor Giacomo Bonanno. Insurance Markets Department f Ecnmics, University f alifrnia, Davis Ecn 200 Micr Thery Prfessr Giacm Bnann Insurance Markets nsider an individual wh has an initial wealth f. ith sme prbability p he faces a lss f x (0

More information

Relationships Between Frequency, Capacitance, Inductance and Reactance.

Relationships Between Frequency, Capacitance, Inductance and Reactance. P Physics Relatinships between f,, and. Relatinships Between Frequency, apacitance, nductance and Reactance. Purpse: T experimentally verify the relatinships between f, and. The data cllected will lead

More information

Dispersion Ref Feynman Vol-I, Ch-31

Dispersion Ref Feynman Vol-I, Ch-31 Dispersin Ref Feynman Vl-I, Ch-31 n () = 1 + q N q /m 2 2 2 0 i ( b/m) We have learned that the index f refractin is nt just a simple number, but a quantity that varies with the frequency f the light.

More information

Robert J. Biersner a & Francis J. Winn Jr. b a U.S. Department of Labor, USA. Published online: 08 Jan 2015.

Robert J. Biersner a & Francis J. Winn Jr. b a U.S. Department of Labor, USA. Published online: 08 Jan 2015. This artile was dwnladed by: [185.55.64.226] n: 18 Marh 215, At: 11:2 Publisher: Taylr & Franis Infrma Ltd Registered in England and Wales Registered Number: 172954 Registered ffie: Mrtimer Huse, 37-41

More information

G.SRT.A.2-3 PRACTICE WS #1-3 geometrycommoncore.com 1. Name: Date: Similarity Practice

G.SRT.A.2-3 PRACTICE WS #1-3 geometrycommoncore.com 1. Name: Date: Similarity Practice .S..2-3 I WS #1-3 gemetrycmmncre.cm 1 ame: ate: _ Similarity ractice .S..2-3 I WS #1-3 gemetrycmmncre.cm 2 I will knw hw t identify crrespnding angles and sides based n similarity statements. I will knw

More information

Bootstrap Method > # Purpose: understand how bootstrap method works > obs=c(11.96, 5.03, 67.40, 16.07, 31.50, 7.73, 11.10, 22.38) > n=length(obs) >

Bootstrap Method > # Purpose: understand how bootstrap method works > obs=c(11.96, 5.03, 67.40, 16.07, 31.50, 7.73, 11.10, 22.38) > n=length(obs) > Btstrap Methd > # Purpse: understand hw btstrap methd wrks > bs=c(11.96, 5.03, 67.40, 16.07, 31.50, 7.73, 11.10, 22.38) > n=length(bs) > mean(bs) [1] 21.64625 > # estimate f lambda > lambda = 1/mean(bs);

More information

The Relevance of Error Analysis in Graphical Symbols Evaluation

The Relevance of Error Analysis in Graphical Symbols Evaluation INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS 1999, VOL. 5, NO. 4, 513-528 The Relevane f Errr Analysis in Graphial Symbls Evaluatin Dmini Paul T. Piamnte Lulea University f Tehnlgy, Sweden

More information

A Statistical analysis of student and employer coop evaluation forms

A Statistical analysis of student and employer coop evaluation forms Rhester Institute f Tehnlgy RIT Shlar Wrks Theses Thesis/Dissertatin Clletins 1994 A Statistial analysis f student and emplyer p evaluatin frms Amynah Virani Fllw this and additinal wrks at: http://shlarwrks.rit.edu/theses

More information

Dana Broach. Civil Aeromedical Institute Oklahoma City, Oklahoma August Final Report

Dana Broach. Civil Aeromedical Institute Oklahoma City, Oklahoma August Final Report DOT/FAA/AM-9/22 Summative Evaluatin f the Offie f Aviatin Mediine Washingtn, D.C. 20591 Cllegiate Training Initiative fr Air Traffi Cntrl Speialists Prgram: Prgress f Minnesta Air Traffi Cntrl Training

More information

The Consequences of an Open Field Burning Ban on the U.S. Kentucky Bluegrass Seed Industry

The Consequences of an Open Field Burning Ban on the U.S. Kentucky Bluegrass Seed Industry The nsequenes f an Open Field Burning Ban n the U.S. Kentuky Bluegrass Seed ndustry R. J. Flell, L. A. Burt and M.. Wirth An enmetri mdel f the U.S. Kentuky seed industry in the Paifi Nrthest is speified

More information

Kepler's Laws of Planetary Motion

Kepler's Laws of Planetary Motion Writing Assignment Essay n Kepler s Laws. Yu have been prvided tw shrt articles n Kepler s Three Laws f Planetary Mtin. Yu are t first read the articles t better understand what these laws are, what they

More information

VARIETIES OF COTTON. Xo. OS and 1906 AGRICULTURAL COLLEGE, BTLTT.I.1^7IM>r. Mississippi Agricultural Experiment Station. By W R. PERKINS. MISS.

VARIETIES 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 information

Millennium Relativity Acceleration Composition. The Relativistic Relationship between Acceleration and Uniform Motion

Millennium Relativity Acceleration Composition. The Relativistic Relationship between Acceleration and Uniform Motion Millennium Relativity Aeleration Composition he Relativisti Relationship between Aeleration and niform Motion Copyright 003 Joseph A. Rybzyk Abstrat he relativisti priniples developed throughout the six

More information

ROUNDING ERRORS IN BEAM-TRACKING CALCULATIONS

ROUNDING ERRORS IN BEAM-TRACKING CALCULATIONS Particle Acceleratrs, 1986, Vl. 19, pp. 99-105 0031-2460/86/1904-0099/$15.00/0 1986 Grdn and Breach, Science Publishers, S.A. Printed in the United States f America ROUNDING ERRORS IN BEAM-TRACKING CALCULATIONS

More information

AIP Logic Chapter 4 Notes

AIP Logic Chapter 4 Notes AIP Lgic Chapter 4 Ntes Sectin 4.1 Sectin 4.2 Sectin 4.3 Sectin 4.4 Sectin 4.5 Sectin 4.6 Sectin 4.7 4.1 The Cmpnents f Categrical Prpsitins There are fur types f categrical prpsitins. Prpsitin Letter

More information

Subject description processes

Subject description processes Subject representatin 6.1.2. Subject descriptin prcesses Overview Fur majr prcesses r areas f practice fr representing subjects are classificatin, subject catalging, indexing, and abstracting. The prcesses

More information

Biplots in Practice MICHAEL GREENACRE. Professor of Statistics at the Pompeu Fabra University. Chapter 13 Offprint

Biplots 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 information

Veterinarian or Veterinary Hospital with your dog's records on file:

Veterinarian or Veterinary Hospital with your dog's records on file: Owner infrmatin Name: Email: Phne: Address: Dg Infrmatin Dg's Name Dg's Age : Dg's age when adpted r purchased : Sex f Dg: O Male OFemale Spay/Neuter Status: O Intact O Spayed/Neutered Breed r Type: Vaccinatins

More information

Accreditation Information

Accreditation Information Accreditatin Infrmatin The ISSP urges members wh have achieved significant success in the field t apply fr higher levels f membership in rder t enjy the fllwing benefits: - Bth Prfessinal members and Fellws

More information

A study on GPS PDOP and its impact on position error

A study on GPS PDOP and its impact on position error IndianJurnalfRadi& SpacePhysics V1.26,April1997,pp. 107-111 A study n GPS and its impact n psitin errr P Banerjee,AnindyaBse& B SMathur TimeandFrequencySectin,NatinalPhysicalLabratry,NewDelhi110012 Received19June

More information

How do scientists measure trees? What is DBH?

How 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

Experiment #3. Graphing with Excel

Experiment #3. Graphing with Excel Experiment #3. Graphing with Excel Study the "Graphing with Excel" instructins that have been prvided. Additinal help with learning t use Excel can be fund n several web sites, including http://www.ncsu.edu/labwrite/res/gt/gt-

More information

The Law of Total Probability, Bayes Rule, and Random Variables (Oh My!)

The Law of Total Probability, Bayes Rule, and Random Variables (Oh My!) The Law f Ttal Prbability, Bayes Rule, and Randm Variables (Oh My!) Administrivia Hmewrk 2 is psted and is due tw Friday s frm nw If yu didn t start early last time, please d s this time. Gd Milestnes:

More information

Section 5.8 Notes Page Exponential Growth and Decay Models; Newton s Law

Section 5.8 Notes Page Exponential Growth and Decay Models; Newton s Law Sectin 5.8 Ntes Page 1 5.8 Expnential Grwth and Decay Mdels; Newtn s Law There are many applicatins t expnential functins that we will fcus n in this sectin. First let s lk at the expnential mdel. Expnential

More information

Feasibility study for the development of a distance learning civil engineering professional engineer examination refresher course

Feasibility study for the development of a distance learning civil engineering professional engineer examination refresher course Calhun: The S Institutinal Arhive Theses and Dissertatins Thesis Clletin 21 Feasibility study fr the develpment f a distane learning ivil engineering prfessinal engineer examinatin refresher urse Gallagher,

More information

What is Statistical Learning?

What is Statistical Learning? What is Statistical Learning? Sales 5 10 15 20 25 Sales 5 10 15 20 25 Sales 5 10 15 20 25 0 50 100 200 300 TV 0 10 20 30 40 50 Radi 0 20 40 60 80 100 Newspaper Shwn are Sales vs TV, Radi and Newspaper,

More information

Physics 2010 Motion with Constant Acceleration Experiment 1

Physics 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 information

, which yields. where z1. and z2

, 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 information

Internal vs. external validity. External validity. This section is based on Stock and Watson s Chapter 9.

Internal vs. external validity. External validity. This section is based on Stock and Watson s Chapter 9. Sectin 7 Mdel Assessment This sectin is based n Stck and Watsn s Chapter 9. Internal vs. external validity Internal validity refers t whether the analysis is valid fr the ppulatin and sample being studied.

More information

Lecture 2: Supervised vs. unsupervised learning, bias-variance tradeoff

Lecture 2: Supervised vs. unsupervised learning, bias-variance tradeoff Lecture 2: Supervised vs. unsupervised learning, bias-variance tradeff Reading: Chapter 2 STATS 202: Data mining and analysis September 27, 2017 1 / 20 Supervised vs. unsupervised learning In unsupervised

More information

If (IV) is (increased, decreased, changed), then (DV) will (increase, decrease, change) because (reason based on prior research).

If (IV) is (increased, decreased, changed), then (DV) will (increase, decrease, change) because (reason based on prior research). Science Fair Prject Set Up Instructins 1) Hypthesis Statement 2) Materials List 3) Prcedures 4) Safety Instructins 5) Data Table 1) Hw t write a HYPOTHESIS STATEMENT Use the fllwing frmat: If (IV) is (increased,

More information

ECE 2100 Circuit Analysis

ECE 2100 Circuit Analysis ECE 2100 Circuit Analysis Lessn 25 Chapter 9 & App B: Passive circuit elements in the phasr representatin Daniel M. Litynski, Ph.D. http://hmepages.wmich.edu/~dlitynsk/ ECE 2100 Circuit Analysis Lessn

More information

WRITING THE REPORT. Organizing the report. Title Page. Table of Contents

WRITING THE REPORT. Organizing the report. Title Page. Table of Contents WRITING THE REPORT Organizing the reprt Mst reprts shuld be rganized in the fllwing manner. Smetime there is a valid reasn t include extra chapters in within the bdy f the reprt. 1. Title page 2. Executive

More information

4th Indian Institute of Astrophysics - PennState Astrostatistics School July, 2013 Vainu Bappu Observatory, Kavalur. Correlation and Regression

4th Indian Institute of Astrophysics - PennState Astrostatistics School July, 2013 Vainu Bappu Observatory, Kavalur. Correlation and Regression 4th Indian Institute f Astrphysics - PennState Astrstatistics Schl July, 2013 Vainu Bappu Observatry, Kavalur Crrelatin and Regressin Rahul Ry Indian Statistical Institute, Delhi. Crrelatin Cnsider a tw

More information

An evaluation of alternative forecasting techniques in a replacement market subject to independent demand.

An evaluation of alternative forecasting techniques in a replacement market subject to independent demand. Lehigh University Lehigh Preserve Theses and Dissertatins 1-1-1980 An evaluatin f alternative freasting tehniques in a replaement market subjet t independent demand. James Mihael Cnfer Fllw this and additinal

More information

Lecture 2: Supervised vs. unsupervised learning, bias-variance tradeoff

Lecture 2: Supervised vs. unsupervised learning, bias-variance tradeoff Lecture 2: Supervised vs. unsupervised learning, bias-variance tradeff Reading: Chapter 2 STATS 202: Data mining and analysis September 27, 2017 1 / 20 Supervised vs. unsupervised learning In unsupervised

More information

Trigonometric Ratios Unit 5 Tentative TEST date

Trigonometric Ratios Unit 5 Tentative TEST date 1 U n i t 5 11U Date: Name: Trignmetric Ratis Unit 5 Tentative TEST date Big idea/learning Gals In this unit yu will extend yur knwledge f SOH CAH TOA t wrk with btuse and reflex angles. This extensin

More information