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Social Case-based Statistics II CSSS 322 Spring 2002 Practice First Examination Exam: Tuesday, May 7, 10:30am - 12:00pm Professor: Mark S. Handcock Name: 1. Please write your name in the above space. 2. You need to do all 4 questions. All questions are of equal value (but not necessarily of equal di culty). attempted. 3. Do not turn the page until so instructed. (You will have 90 minutes to work after the examination has been discussed with you.) 4. You may use your crib sheet. Otherwise this is a closed book examination. 5. If you do not have enough room for your work in the place provided, use the back of a nearby page. (However, be sure to mark clearly which problem the material on the back of any page refers to.) If you pull the pages apart, sign all pages. 6. Answers should unambiguously state, in words, the approach taken. You should show your work so that partial credit can be given. Poorly described solutions will be penalized. unsupported answers 7. Good luck! Question 1 2 3 3 Total Subject Incoming Notebooks A Bond Barometer Vitamin C Diversi ed Stock Funds Points available 25 25 25 25 100 Points earned CSSS 322 Practice First Exam Spring 2002 April 29, 2002 Page 1 Question 1) Incoming Notebooks (25 points) The President of the University of Washington is concerned that the current students will have di erent views than the incoming students. He decides to survey the incoming class to see if they are in favor of requiring notebooks. The pool of potential incoming students is quite large (many thousands) and so to reduce costs he conducts a survey of 100 randomly chosen incoming students. Of these, 60 indicate that they are willing to buy a notebook. If more than 50% of the incoming class of students are willing to buy a notebook he will require it of all students. Research has shown that exactly 50% of past students were willing to buy a notebook. Your objective is to formulate and execute a statistical hypothesis test for this situation. An error rate of 0.01 ( = 0.01 ) should be used. a) (5 points) Give the null and alternative hypotheses in symbols and words. Be sure to identifying all symbols that you use. b) (5 points) Construct a con dence interval appropriate for this test. c) (3 points) Brie y describe the meaning of Type I error in this case? CSSS 322 Practice First Exam Spring 2002 April 29, 2002 Page 2 d) (4 points) Brie y describe the meaning of Type II error in this case? e) (4 points) Given the above con dence interval, is the probability of Type II error large or small. Brie y say why. f ) (4 points) The 98%, 95% and 90% two-sided con dence intervals for the proportion in the entire incoming class are: 98% 95% 90% ( 48.6, 71.4 ) ( 50.4, 69.4 ) ( 52.0, 68.0 ) Based on these and b), what is the p -value for the hypothesis in a)? CSSS 322 Practice First Exam Spring 2002 April 29, 2002 Page 3 Question 2) A Bond Barometer (25 points) As a guide for investment the Wall Street Journal publishes information on the total returns for various categories of bonds. The data below is from the last exam. It is from The Wall Street Journal, 10/8/93, R2. It compares a prediction of the total return for the next twelve months (based on the last quarter) to return over the previous twelve months for 17 categories of bonds. Assume that these bonds are a random sample from the population of all bonds available. Total Return Prediction for the next Year 28.8 20.4 18.1 17.3 13.4 12.6 10.8 10.8 10.2 8.9 7.8 6.6 6.4 6.2 4.3 3.9 2.2 11.10 6.87 Fund Category Zero Coupon Bonds Convertible Bonds Long-Term U.S. Treas. Global Bonds General Muni. Bonds Flexible Income Funds Longer-Term U.S. Govt. Intermediate Corporate Intermediate U.S. Treas. Intermediate U.S. Govt. High-Yield Junk Short-Term U.S. Treas. Short-Term Corporate Short-Term U.S. Govt. GNMA Adjust. Rate Mort. Short-Term Global Inc. mean standard deviation a) (6 points) Previous Year 24.9 21.3 15.1 11.6 13.1 11.8 10.0 9.5 9.3 8.0 15.4 5.6 5.9 5.6 6.7 4.1 3.8 10.69 5.90 Construct a 95% con dence interval for the mean total return for the previous year. CSSS 322 Practice First Exam Spring 2002 April 29, 2002 Page 4 b) (7 points) Construct a 99% con dence interval for the mean total return for the prediction of the next year. c) (5 points) Based on the results of a) and b), do you think the mean total return for the previous year and the mean prediction of the total return for the next year are identical? Brie y say why. CSSS 322 Practice First Exam Spring 2002 29, April 2002 Page 5 d) (7 points) One Wall Street pundit claims that the mean total return for the bonds for the next year will be over 12%. Translate this claim into a hypothesis about the mean total return for the bonds for the next year. Express the hypothesis in symbols. Based on your results in part b), do you think this pundit s claim is consistent with the data on the predictions for next year? CSSS 322 Practice First Exam Spring 2002 April 29, 2002 Page 6 Question 3) Vitamin C (25 points) To determine how well vitamin C prevents colds, a study in Toronto under T. W. Anderson divided volunteers randomly into two groups of 400 each - a treatment group given vitamin C, and a control group given a placebo (a dummy pill that had no drug, but looked indistinguishable from the vitamin C pill). The proportion of people who caught colds during the winter was 74% for the treatment group and 82% for the control group. In answering the following questions, suppose that the volunteers represent random samples from the entire Canadian population. a) (3 points) What was the purpose of the placebo? b) (5 points) Construct a 95% con dence interval for the proportion of colds in Canada if everyone took vitamin C. c) (5 points) Construct a 95% con dence interval for the proportion of people who would catch cold in Canada if everyone took the placebo only. CSSS 322 Practice First Exam Spring 2002 April 29, 2002 Page 7 d) (4 points) A 95% con dence interval for the decrease in proportion of colds in Canada that would be caused by everybody taking vitamin C is ( 2.3%, 13.7%) Based on this information and the previous results, write a brief verbal conclusion about the e ect of vitamin C. CSSS 322 Practice First Exam Spring 2002 April 29, 2002 Page 8 Question 4) Diversi ed Stock Funds (38 points) Shares in diversi ed stock funds are traded among investors at market prices that need not equal the fund s net asset value. Below are the percent di erence between the net asset value and the market price, that is, 100% net asset value market price net asset value for 15 diversi ed stocks funds reported in the Wall Street Journal in March 9, 1990. The right-most column are the percent di erence for the same stocks two days ago (Monday, October 12, 1992). Diversi ed Stock Fund Adams Express Baker Fentress Blue Chip Value Clemente Global General American Jundt Growth Fund Liberty All-Star Equity Quest For Value Capital Quest For Value Income Royce Value Trust Salomon Fund Source Capital Tri-Continental Worldwide Value Zweig Fund mean standard deviation Percent Di erence March 9, 1990 October 12, 1992 -9.7 -2.2 -16.1 -14.4 -9.6 +7.6 -18.4 -10.6 -16.6 +1.3 -5.5 -10.8 -14.0 -18.0 -15.9 -1.9 -12.2 +34.5 -10.6 -4.5 -7.4 -4.2 +0.2 +9.3 -14.1 -8.3 -5.8 -6.6 +6.2 +17.2 -9.97 6.74 -0.76 13.46 a) (5 points) One nancial theory of asset pricing claims that the net asset value and market price of the diversi ed stock funds should, on average, be equal. Translate this claim to a null and alternative hypothesis expressed in symbols. Be sure to de ne the symbols you use. CSSS 322 Practice First Exam Spring 2002 April 29, 2002 Page 9 b) (6 points) Test the hypothesis in a) based on the sample of stock funds in March 9, 1990. Use the 99% level of con dence. What is your conclusion.? c) (4 points) Test the same hypothesis at the same level of con dence based on the sample of stock funds in October 12, 1992. What is your conclusion.? CSSS 322 Practice First Exam Spring 2002 April 29, 2002 Page 10 d) (10 points) The change in the mean percent di erence between the net asset value and the market price for the population of stock funds over time is of great nancial interest. Use the two samples to provide an 95% con dence interval for the di erence in the mean percent di erence between March 9, 1990 and October 12, 1992. (You may assume that the distribution of the samples di er only in location if they di er at all). e) (10 points) The same stock funds were used to measure the net asset value and the market price. Used the paired method to construct a 95% con dence interval for the mean percent di erence between the net asset value and the market price for the population of stock funds. The sample standard deviation of the di erences is 12.46%. f ) (5 points) Which of the above two intervals is more appropriate(the independent or the paired)? CSSS 322 Practice First Exam Spring 2002 April 29, 2002 Page 11
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hw5.pdf
Path: Washington >> STAT >> 322 Spring, 2008
Description: Case-based Social Statistics II CSSS 322 Professor: Mark S. Handcock Solutions to Homework 5 Due Thursday, May 16, 2002 Problems to be handed in: 1) In an article on crime in the United States, Newsweek magazine (January 10, 1994) quoted FBI statisti...
hw3.pdf
Path: Washington >> STAT >> 322 Spring, 2008
Description: Case-based Social Statistics II CSSS 322 Professor: Mark S. Handcock Homework 3 Due Thursday, April 25, 2002 Problems to be handed in: 1) In a random sample of 725 selected for interview from a population of 13,916 teachers in Washington, 113 said th...
fin.pdf
Path: Washington >> STAT >> 394 Fall, 2008
Description: ...
AEESP-stat-analysis.pdf
Path: Washington >> STAT >> 486 Fall, 2008
Description: Statistics Statistics for Analysis of Experimental Data Catherine A. Peters Department of Civil and Environmental Engineering Princeton University Princeton, NJ 08544 Statistics is a mathematical tool for quantitative analysis of data, and as such i...
Problems1003.doc
Path: Washington >> STAT >> 491 Fall, 2008
Description: STAT 491 Group problems 10/3 1. Consider 2a molecules diffusing through a membrane. Let Xn be the number of molecules to the left of the membrane. At each time, one of the 2a molecule is chosen at random and moved to the other side of the membrane ...
sln.hw2.doc
Path: Washington >> STAT >> 491 Fall, 2008
Description: STAT/MATH 491 Solutions to homework 2. 5.4.1 E(Z m Zn) = . Now given that Zm = k, Zn can be thought of as k independent chains of length m n. Thus E(Z n Z m = = = so E(Z m Z n ) = ( ) = . Hence Cov(Z m , Z n ) = = ...
CA.trend.coef.matrix.txt
Path: Washington >> STAT >> 498 Fall, 2008
Description: 060370002,2.93443293273918,-6.60175212411867,1.46086781027834 060371002,3.03280812436641,-6.44671558582038,-1.66919019159562 060371103,2.99947555742709,-6.23861259473043,-1.0092641065844 060371201,2.79750673204645,-6.36486904517982,-0.838880577044036...
CA.lcovar.subset.txt
Path: Washington >> STAT >> 498 Fall, 2008
Description: ID2,LAT,LONG,LANDUSE,PopDens,m_to_a1,m_to_a2,m_to_a3,m_to_commerc,xlamb2,ylamb2 060370002,34.13650,-117.9230,Indust, 9.250915, 7.503247,7.190049,7.660713,6.2324031, -22.4479346, -1.542679 060371002,34.17600,-118.3170,Comm_serv, 9.346770, 7.368975,9.3...
HW506Sol3.pdf
Path: Washington >> STAT >> 506 Spring, 2008
Description: Stat 506, Homework set #3 Due Monday April 21, 2008 From Casella and Berger. 3.3; 3.7; 3.9; 3.20 and 3.23 Solution to Casella and Berger 3.3 Let Xi be the indicator function of the event a car is passing during the i-th second, where we start counti...
hw5.pdf
Path: Washington >> STAT >> 506 Spring, 2008
Description: Computer Environments for Social Scientists CSSS 506 Professor: Mark S. Handcock Solutions to Homework 5 Due Tuesday, March 5, 2002 1) The data frame hills contains the results from the Scottish hill races. The data set is taken from Staudte and Shea...
512 Info.doc
Path: Washington >> STAT >> 512 Fall, 2008
Description: STAT512:STATISTICALINFERENCE AUTUMN2007 Instructor: MichaelPerlman,Dept.ofStatistics,Box354322 Office:B310PadelfordHall(mailboxinB313) Phone:5437735 email:michael@stat.washington.edu Officehours:afterclassorbyappointment MWF10:3011:20,Sieg225. Th10:3...
Rcode.txt
Path: Washington >> STAT >> 516 Fall, 2008
Description: Example R Sessionx <- 1:5xy <- 11:15x+yz <- c(10,6,3,5,1)zhelp(seq) seq(from=3,to=7,by=2)seq(3,17)seq(14,2)seq(1,2,.1)help(rep)rep(1,5)rep(1:5,3)temp <- c(2,1,5,9)temp.3 <- rep(temp,3)temp.3rep(c(seq(2,10,2),seq(1,9,2),2)temp.3[3] temp.3[5:7]temp.3[c...
Spatial4.ppt
Path: Washington >> STAT >> 518 Spring, 2008
Description: SpatialStatisticsIV Stat518Sp08 Estimationof variograms Recall (v) = s (1 r (v) Methodofmoments:squareofallpairwise differences,smoothedoverlagbins 2 (h) = 1 N(h) i,j N(h) (Z(s i ) Z(s j )2 N(h) = (, : ) + 2 2 Problems:Notn...
spatial1.ppt
Path: Washington >> STAT >> 518 Spring, 2008
Description: Spatialstatistics STAT518Sp08 Researchgoalsin airqualityresearch Calculateairpollutionfieldsforhealth effectstudies Assessdeterministicairqualitymodels againstdata Interpretandsetairqualitystandards Improvedunderstandingof complicatedsystems Predict...
Spacetime.ppt
Path: Washington >> STAT >> 518 Spring, 2008
Description: Spacetimestatistics STAT518 Sp08 Spacetimeprocesses Separablecovariancestructure: Cov(Z(x,t),Z(y,s)=C1(x,y)C2(s,t) Nonseparablealternatives Temporallyvaryingspatial covariances Fourierapproach Completelymonotonefunctions SARMAPstudy Spatialcor...
524-07s.pdf
Path: Washington >> STAT >> 524 Spring, 2008
Description: ...
CATHEEK STAT 534 HW #1.txt
Path: Washington >> STAT >> 534 Fall, 2008
Description: #-#-#Cathee Kneeling #STAT 534 #Homework #1, Due 4/11/2006 #--#-# Pull in source files directory <- \"http:/www.stat.washington.edu/catheek/stat534/HW#1\" lib.filename <- \"home1-make-data-lib-3-30-05.txt\" lib.pathname <- paste(directory, lib.filename, ...
CATHEEK STAT 534 HW #5.txt
Path: Washington >> STAT >> 534 Fall, 2008
Description: #-#-#Cathee Kneeling #STAT 534, Werner Stuetzle #Homework #5, Due 5/16/2006 #--#-#-#--# cost function calculates minimum total cost # and completes knowncost matrix # i = index of vector v1; j = index of vector v2 #-#--cost = function(i, j, v1, v2) {...
syllabus.pdf
Path: Washington >> STAT >> 535 Fall, 2008
Description: Course Syllabus: BIOSTAT/STAT 535 Statistical Computing Autumn Quarter 2008 Adrian Dobra, Assistant Professor, Statistics, CS&SS and BNHS adobra@u.washington.edu September 30, 2008 Class room The class meets Tuesday and Thursday between 11:30am and ...
535-07au.pdf
Path: Washington >> STAT >> 535 Fall, 2008
Description: ...
538-08wi.pdf
Path: Washington >> STAT >> 538 Fall, 2008
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550-07au.pdf
Path: Washington >> STAT >> 550 Fall, 2008
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560syll.pdf
Path: Washington >> STAT >> 560 Fall, 2008
Description: Preliminary Battle Plan CSSS/POLS/STAT 560: Hierarchical Modeling for the Social Sciences Professor: Kevin Quinn, Political Science and CSSS Winter Quarter 2002 Class Room Oce 2:30-4:00 PM Tuesday and Thursday 313 Savery C-14-C Padelford Hall Phone...
lec3bw.pdf
Path: Washington >> STAT >> 560 Fall, 2008
Description: 1 CSSS 560 Lecture 3: Review of the Linear Regression Model (Part II) Kevin Quinn University of Washington 2 Outline Residual Diagnostics Leverage and Inuence Example 3 Residual Diagnostics In deriving the sampling properties of the OLS es...
lec1bw.pdf
Path: Washington >> STAT >> 560 Fall, 2008
Description: 1 CSSS 560 Lecture 1: What is Clustered Data and How Should it be Analyzed? Kevin Quinn University of Washington 2 Examples of Clustered Data Multilevel (contextual) data Longitudinal (panel) data Repeated measures data Data collected via cl...
FigHW3.pdf
Path: Washington >> STAT >> 567 Fall, 2008
Description: Earnings of Black Women 0.06 0.06 Earnings of Black Women 0.05 default=SheatherJones 0.05 h=2 h=10 0.04 Probability Probability 0 20 40 60 80 0.03 0.02 0.01 0.00 0.00 0 0.01 0.02 0.03 0.04 20 40 60 80 Earnings (thousands of doll...
lec2plots.pdf
Path: Washington >> STAT >> 567 Fall, 2008
Description: Betty Dick Sally Harry Tom Sally Tom Harry Dick Betty ...
friends.pdf
Path: Washington >> STAT >> 567 Fall, 2008
Description: Krackhardts Hightech Managers friends network q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q Trace of var1 10 Density of var1 Density 0e+00 3e+05 Iterations 6e+05 5 10 15 20 0.00 20 0.02 0.04 0.06 0 0.08 ...
FigHW5.3.pdf
Path: Washington >> STAT >> 567 Fall, 2008
Description: Linear Quantile Regression 11.5 11.5 Spline Quantile Regression 11.0 10.5 Logearnings 10.0 Logearnings observed quantiles quantile regression lines 9.5 9.5 10.0 10.5 11.0 observed quantiles quantile regression splines 9.0 9.0 70 75 80...
570-Day-2.pdf
Path: Washington >> STAT >> 570 Fall, 2008
Description: Stemming Tokenizing suffixes irrelevant Porter Stemmer, simple and efficient Website: http:/www.tartarus.org/...
573.pdf
Path: Washington >> STAT >> 573 Fall, 2008
Description: ...
576-07s.pdf
Path: Washington >> STAT >> 576 Fall, 2008
Description: BIOSTAT/STAT 576 Statistical Methods for Survival Data MW 9:00am - 10:20am, Spring 2007; HST T530 Instructor: Ying Qing Chen Tel: 206.667.7051 Email: yqchen@u.washington.edu Oce hour: Th 2:30pm - 3:30pm; H657 Course Web Site: http:/www.scharp.org/u...
576.pdf
Path: Washington >> STAT >> 576 Fall, 2008
Description: ...
579-07au.pdf
Path: Washington >> STAT >> 579 Fall, 2008
Description: ...
579-08su.pdf
Path: Washington >> STAT >> 579 Fall, 2008
Description: ...
579-08sp.pdf
Path: Washington >> STAT >> 579 Fall, 2008
Description: ...
581.day1.08.pdf
Path: Washington >> STAT >> 581 Fall, 2008
Description: STATISTICS 581: Advanced Theory of Statistical Inference Fall, 2008 Time: Place: Professor: Oce: Phone: e-mail: Oce Hours: Texts: 10:30 - 11:20 MWF (lecture) MEB 245 Jon A. Wellner B320 Padelford 206-543-6207 jaw@stat.washington.edu 1:30 - 3:30 MWF...
ref.08.pdf
Path: Washington >> STAT >> 581 Fall, 2008
Description: References for Statistics 581, Fall 2008 Analysis: Bartle, R. G., The Elements of Integration. Rudin, W., Principles of Mathematical Analysis. Royden, H. L., Real Analysis. Luenberger, D., Optimization by Vector Space Methods. Probability: Will...
ch2.figs-epsf.pdf
Path: Washington >> STAT >> 581 Fall, 2008
Description: Statistics 581, Chapter 2 Empirical Distribution Function and Empirical Process Figures Wellner; 10/24/2008 1 0.8 0.6 0.4 0.2 0.2 0.4 0.6 0.8 1 Figure 1: Uniform Empirical Distribution Function, n = 50. 1 0.75 0.5 0.25 0.2 -0.25 0.4 0.6...
exam1.06.pdf
Path: Washington >> STAT >> 581 Fall, 2008
Description: Statistics 581, Midterm Exam Wellner; 11/06/2006 This exam is to be taken without any books or notes. 1. (24 points) Dene any three of the following ve terms. (a) A uniformly integrable sequence of random variables. (b) Convergence in rth mean of a...
mt03.pdf
Path: Washington >> STAT >> 582 Fall, 2008
Description: Stat 582 W03 Midterm exam Please give as complete solutions as possible. More paper is available if needed. 1. Let (X,Y) be bivariate normal, mean zero, variance 1, correlation r. Find a minimal sufficient statistic for r. Is it complete? 2. Suppo...
final2.89.pdf
Path: Washington >> STAT >> 582 Fall, 2008
Description: STAT 582 FINAL EXAM 1. Let T (F) = m 2 = ( xdF(x)2 . Find, using the asymptotic theory for statistical functionals, the limiting F distribution of T (F n ) when m F 0. 2. Let (X 1 , Y 1 ), . . . , (X n , Y n ) be independent random variables with ...
gamma.pdf
Path: Washington >> STAT >> 582 Fall, 2008
Description: ...
hw1.sln.doc
Path: Washington >> STAT >> 583 Fall, 2008
Description: STAT583 Sp04 Homework1solution 1. (a)(c) E X i - m = 2 xdF(x) = d 2 2 s (1+ 2e) and (1- e)s + 3es ) = p p 0 E(X - m) 2 = s 2 (1+ 8e) .Standardasymptotictheoryhasthat n ( s2 - s 2 (1+ 8e) N(0,t 2 ) where 2 = E(X - m) 4 - E 2 (X - m) 2 = s 4 (3...
notes1.pdf
Path: Washington >> STAT >> 583 Fall, 2008
Description: STAT 583 SPRING 2008 Lecture Notes 1 Statistical Functionals The Gteux derivative of a statistical functional T(F) is the limit T (F + (G F ) T(F) . d1T(F;G F) = lim If Q( ) = T (F + (G F ) has a McLaurin expansion, we get an expansion (the von...
hw3.sln.pdf
Path: Washington >> STAT >> 583 Fall, 2008
Description: STAT 583 Sp08 Solutions, Homework 3 1. (a) T (F! ) = F + !(G \" F ) so IC(x) = x ! F . (b) By the same calculation as that for the median we get p ! 1(x < F !1 ( p) IC(x) = , x \" F !1 ( p) !1 f (F ( p) d 1 T (F + !(\" x # F) = (c) Using (b) d! 1 ...
HW2.pdf
Path: Washington >> STAT >> 583 Fall, 2008
Description: STAT 583 Sp08 Homework 2 Due April 16. 1. Let F be a cdf on [0,1], and define for ! > 1 T (F) = x\"[0,1] # ( F(x) ! F(x!) $ . (a) Compute the Gateux derivative of T at the uniform distribution U on [0,1]. (b) Show that nR1,n = n(T (Fn ) ! T (U ...
homework.pdf
Path: Washington >> STAT >> 592 Fall, 2008
Description: Homework problems (more problems will be added as we go along) Stat 592, W09 1. For a stationary random field Z(s); s !D \" R 2 , observed at sites s1,.,sn, derive the unbiased linear estimator with the smallest variance. Hint: Use a Lagrange multipli...
Lec1.ppt
Path: Washington >> STAT >> 592 Fall, 2008
Description: NRCSE SpatialStatisticalMethods peter@stat.washington.edu www.stat.washington.edu/peter/592 STAT592A(UW)526(UBCV) 8904(SFU) Coursecontent 1.Kriging 1.Gaussianregression 2.Simplekriging 3.Ordinaryanduniversalkriging 4.Effectofestimatedcovariance 5....
syllabus.pdf
Path: Washington >> STAT >> 593 Fall, 2008
Description: Course Syllabus: STAT 593 Modern Topics in Discrete Multivariate Analysis Spring Quarter 2008 Time and Location When: 10:30am-11:50am Tuesday and Thursday Where: TBA Instructor Adrian Dobra Oce: Padelford Hall B-303 E-mail: adobra@u.washington.edu ...
LECT 14.ppt
Path: Washington >> HUM >> 202 Fall, 2008
Description: Lecture 14: October 27, 2006 Questions Reading Lyrical Ballads (1798), published Anonymously; 3 poems by Coleridge; 20 poems by Wordsworth Preface added in 1800 2nd edition Lyrical Ballads: not just an experiment but a poeti...
2007-2008 HUM 204 Syllabus.pdf
Path: Washington >> HUM >> 204 Fall, 2008
Description: HUM 204 The Role of Perspective in History, Science, and Design Fall 2007 Lecture Meeting Times: Monday and Wednesday 12:30-1:50 Lecture Classroom: Kane 110 Instructors: Axel Roesler, Interaction Design Email: roesler@u.washington.edu Office Hours:...
MolCellEndo_2000_Spermatogonial_Transplantation_Update_Millennium.pdf
Path: Washington >> HUM >> 207 Winter, 2008
Description: Molecular and Cellular Endocrinology 161 (2000) 117 120 www.elsevier.com/locate/mce Spermatogonial transplantation an update for the millennium Lonnie D. Russella *, Michael D. Griswoldb a Department of Physiology, School of Medicine, Southern Il...
2007-2008 HUM 208 syllabus.pdf
Path: Washington >> HUM >> 208 Fall, 2008
Description: HUMANITIES 208: VIOLENCE, MYTH, AND MEMORY (SPRING 2008) Tuesday and Thursday 1:00-2:20, Johnson Hall 102 Francisco Benitez (Comp Lit) and Laurie Sears (History) TAs: Cheryll Alipio, Katrina Hagen, William Mitchell \"Violence, Myth, and Memory\" is bui...
lect36_overheads.pdf
Path: Washington >> SWED >> 101 Fall, 2008
Description: Lecture 36 Anthropogenic Effects on Climate It is well-documented that globally averaged land and sea-surface temperatures have increased 0.5 C in the last century. Is this the beginning of manmade global warming? Two major anthropogenic forcings on ...
JFQA-402-JPPW-Appendices.pdf
Path: Washington >> T C >> 402 Winter, 2008
Description: Appendices to JFQA, Vol. 40, No. 2, June 2005, \"Horses and Rabbits? Trade-Off Theory and Optimal Capital Structure,\" by Nengjiu Ju, Robert Parrino, Allen M. Poteshman, and Michael S. Weisbach Horses and Rabbits? Trade-Off Theory and Optimal Capital ...
TC 403 Final.pdf
Path: Washington >> T C >> 403 Fall, 2008
Description: Kyle Kyros Starr TC 403 May 18, 2008 Do You Know the Way to San Jose? Exploring the Future During the course of this class, I have looked through a lens back at who I was in the past and evaluated that person against the person that I am now. In t...
MarxExcerpts.doc
Path: Washington >> T C >> 493 Fall, 2008
Description: Excerpts from Volume 1 of Capital (text from http:/www.marxists.org/archive/marx/works/1867-c1/index.htm) Introductory Note: Well discuss this in class, but just so you have it in front of you, Marx develops an analysis of capitalist production stres...
wave_properties.pdf
Path: Washington >> T C >> 505 Fall, 2008
Description: 6p } y(B q UB (RW1i6 (e i6HPHFsPHi4 e ) w8Fii96 da &5wg(B a HpR6 7a xwHwE( 6 7a HpF y tz p U8F 6P P6 c 6 ) 6{ P FQ } wixgwE( 6 7a HpF Ek7(|EE 6 7a Hp ~ u z F p6 } i { a 6 iQ e P p Ue p w8F c HUU(B } }8 6 uixgER9Y...
twodimensional.pdf
Path: Washington >> T C >> 505 Fall, 2008
Description: QYEW f U Y Y W Y pp U PTXRXgRY HrHPteTSUb pERF GBQPHyUD`Y \"vE i~ U g Y ewf ERU TS ERGBQPHcsTQBU cFpWwdwfYh evdRY GRvXPP GR`Uvv8rBEsBEbbHP GSlCyEWb gfpBh vGRXPuUIEbERQPB GB ySXHmkgcWuhpBY dYGDcvP keER x GBQPHTcFewf XR(UY e~ q nY Ew e ...
intro.pdf
Path: Washington >> T C >> 509 Fall, 2008
Description: a edc Y 3 US \'7 FG HG F DB )75 3 % fT9(cba`TXSXW(WV%TT2RQCPI86EC(A@%9862%4210)(\' ! E G e e e xe ~Y yxe o~Y uBX)%@e2~Y e2~Y fw~Y )2~Y E G e e xe ~Y uB) %@e2~Y fw~Y )2~Y A \' A A GH W G G G 9S rE82...
midterm_soln.pdf
Path: Washington >> T C >> 509 Fall, 2008
Description: GFD I: Winter 2007 Midterm Solutions Professor: Chris Bretherton TA: Tom Connolly \\) As A.\' ( ynOt/e g iawardCg- n\"a ir\",{ ina f r{ r,\\6rI V c\\.,r P *e*^p *ropi cc,t {cto nP- r {n 3ce t,( tt 17o r* lo t% scr rq- Av-ops {r\" ^ l o \\ o ,*b ...
hw7_soln.pdf
Path: Washington >> T C >> 509 Fall, 2008
Description: GFDI f HW io^t Sotto{ P.of, Ch.i e hn the\"r{o^ TA\' J[vu\"\'G^nolt1 f)\". No\',-\\incar SWt PV Conrrvr^4ion %:4) D+v _ .P/ )+ +- H *{-zv (,\"tlr, Ass,.^,- 5/r , , \\/3\'rth, q, 1-tr.) \'(\'i-r.)+H {t1)[r -efo,\"J TtlTm-ll1 x (+iir:Lr H T(Ti l-l 3=bll...
ch4.pdf
Path: Washington >> T C >> 516 Fall, 2008
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ps4.pdf
Path: Washington >> T C >> 521 Winter, 2008
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ps7.pdf
Path: Washington >> T C >> 521 Winter, 2008
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sol.ps3.pdf
Path: Washington >> T C >> 521 Winter, 2008
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1970_statewide-television-address-on-citizen-unrest.pdf
Path: Washington >> T C >> 598 Fall, 2008
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1972_the-day-state-services-were-suspended.pdf
Path: Washington >> T C >> 598 Fall, 2008
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Porter1976.pdf
Path: Washington >> THAI >> 302 Fall, 2008
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