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the Do following formal proofs using only the rules given in Part I of the study guide. You may also use the following rule: Implication (Impl.) P Q . . . P . . . > Q 16. 1. (D E) (F G) 2. D E 17. 1. 2. 3. 4. 5. 6. 18. 1. 2. 3. 4. 19. 1. G 2. H 3. G H 4. (G H) I / (G H) I Intro 1, 2 Intro 3 A B / (A C) B A C Intro 1 (A C) B Intro 3, 2 A B (A C) D A A C D A D / A D Elim 1 Intro 3 Impl 2, 3 intro 3, 5 / (D E)...
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Penn State - FOR - 466
Notes for Thursday, February 5, 2004 Announcements By today you should have read through Chapter 6, Section 2. - Finish reading Chapter 6 for Tuesday. - Study question: 6.12 Please check out the ANGEL version of the course web page. - In the future t
Penn State - FOR - 466
FOR 466W: Forest Resource Management Writing Assignment I Due: Tuesday, January 21, 2003 This assignment gives you an opportunity to practice applying for a job. This is something many of you will be doing in the near future. You should find an annou
Penn State - MISBD - 501
Consumer Benefits of Web Marketingss ate ounts of dynam inform ic ation to Acce to gre r am support que s for consum r de rie e cision m aking e ar arche arecustom r-drive not firm s e n, De p, nonline se drive nConsumer Benefits of Web Marketin
Penn State - MISBD - 501
Porte C pe r's om titiveForce sNew entrantsIndustry competitors Suppliers BuyersIntensity of rivalrySubstitutesS gie for C pe trate s om titiveAdvantageCompetitive Advantage Competitive Scope Cost Broad focus Narrow focusCost leadership C
Penn State - TRDEV - 518
Designing & Conducting Formative EvaluationDick & Carey Chp. 10Barry Williams1Formative Evaluation - Why?qTo determine Weakness(es) in the InstructionBarry Williams2WeaknessesqTeachers/Trainers are not good predictors of the effect
Penn State - TRDEV - 418
Basic Communication Chapter 6CommunicationWas there communication as I read the Jabberwocky? How did the communication come about? Were you familiar with all the words? If not, how did you make meaning of them?What emotions did you feel? Wh
Penn State - TRDEV - 418
Managing the Learning EnvironmentChapter 5Managing the Learning Environment Set the tone of the session Communicate expectations Adapt delivery as needed Manage time Help learners be successful Manage problem behaviorsSelecting the Strate
Penn State - TRDEV - 531
Managing the Learning EnvironmentChapter 5Managing the Learning Environment Set the tone of the session Communicate expectations Adapt delivery as needed Manage time Help learners be successful Manage problem behaviorsSelecting the Strate
Penn State - TRDEV - 533
Organizational Technology & Its Impact on Distance Training (DT)TRDEV 533 Chapter 1 History of DT & Business1900 1930Nontechnical/selfpaced independent study ICS RR industry standards Mine safety Colliery Engineer Sch of Mines
Penn State - TRDEV - 518
Analyzing Learners & ContextDick & Carey, Chp. 5Barry Williams1Review:qDo a Needs Assessment to identify instructional goalsBarry Williams2Review: Criteria for Estab. Instr. Goals1. Will the instruction achieve the goal? 2. Are the g
Penn State - TRDEV - 518
Learner StrategiesGagne and Driscoll Chp. 7Self-learners/Independent Thinkers: A priority goalL Seek self-generated strategiesqthat activate internal process of learningCognitive StrategiesL Are a set of capabilities that make possible L In
Penn State - TRDEV - 7
Learner StrategiesGagne and Driscoll Chp. 7Self-learners/Independent Thinkers: A priority goalL Seek self-generated strategiesqthat activate internal process of learningCognitive StrategiesL Are a set of capabilities that make possible L In
Penn State - TRDEV - 531
Systematic Instructional DesignBarry Williams Ph.D.Barry Williams1Traditional Instructionq q q qInstructors Learners Textbooks Where teaching is getting content from the text into the heads of learnersBarry Williams2TextbooksThe Syst
Penn State - TRDEV - 518
Intro to IDBarry O. Williams Penn State Capital College04/14/09Topics to be Coveredn 0 0 0 0 History of instruction design Definition of instructional design Generic instructional design approach Contributions by other disciplines The standard
Penn State - AERSP - 097
Resources* for First Year Seminars*Available from The Office of Health Promotion University Health Services 237 Ritenour Building 863-0461 863-The Office of Health Promotion and Education increases awareness of health issues, promotes health and i
Penn State - INFSY - 307
Flow of Control and Program Styles Nestedif statements s C+ struct s Program Style s Lab ExerciseNested if statements/Multi-way branchingif (logical expression) { if (logical expression) { statement(s); } else { statement(s); } } else Multiway
Penn State - HPA - 332
Welcome Back!Let's do the name tent thing again when Brye gets in, and also please hand in your ice cream flow chart.Internal Process ModelMonitor Role Competency: Managing Collective PerformanceAgenda Introduction to TQI Flow chart Gladys
Penn State - HPA - 332
Internal Process ModelMonitor Role Competency: Managing Collective PerformanceAgenda Brainstorm check-in improvement options See demonstration of control chart program Complete remaining scenarios Review as a classLearning GoalsBe able to:
Penn State - PHIL - 012
Symbolic Logic Final Study Sheet I. Translations in quantification. Translate each of the following into the logical notation of prepositional functions and quantifiers, in each cause using the abbreviations suggested. 1. Bats are mammals (Bx: x is
Penn State - IST - 250
T2L3Conceptual DesignIntroductionWeb design often becomes a quite extensive task. Combining text, graphics, and navigation into a web page is a challenge not to be taken lightly. Designer must be aware that pages incorporating these elements must
Penn State - FIN - 406
Chapter 8 3. 4. Exp ret on port = 20%; Exp ret on mkt = 15%; risk-free rate = 5 Using the CAPM, the beta = 1.5 Price =40; Exp return = 13%; risk-free rate = 7%; market risk prem = 8% What is the market price of this security if the beta doubles? Use
Penn State - IST - 250
T3L2HyperText LinksIntroductionWhen designing a Web site, well placed links to other pages will enhance the functionality of the site. The designer can help frame the user's experience by inserting links which allow the user to navigate easily th
Penn State - US - 48
FGDC-Compliant Metadata for USCANDEM -NOTE: This is the metadata which accompanied the 500-meter DEM distributed by the USGS. File and grid names have been modified in the version placed in the PSU/ESSC database. In addition, a
Penn State - US - 48
Class Category Name 1 Crop/mixed farming 2 Short grass 3 Evergreen needleleaf tree 4 Deciduous needleleaf tree 5 Deciduous broadleaf tree 6 Evergreen broadleaf tree 7 Tall grass 8
Washington University in St. Louis - MATH - 5022
Math 5022.Homework 3.Due Feb.13, 20091. Suppose that F is a normal family in H(D). Let Fn = {f (n) : f F}, (a) Prove that each Fn is normal. (b) Prove or disprove: Fn is always normal. n=1 2. Suppose that : {0, 1, 2, .} [0, ) satises (*) li
Washington University in St. Louis - MATH - 310
Math 310 Midterm, Fall 2007, Due Oct. 30 (1a) Use the mathematical induction to show that for all n N, 1 + 2 + 3 + + n = n(n + 1)/2. 1 + 22 + 32 + n2 = n(n + 1)(2n + 1)/6 (1c) Find the formula for 1 + 2 3 + 3 3 + n3 . (5 points) (2) Show th
Washington University in St. Louis - MATH - 310
Math 310 Final, Fall 2007, Due Dec. 18 You can quote all the theorems proven in class, homework and midterm problems to solve the problems below. (1a) Show that for any two real numbers x and y with x < y, there are two rational numbers r and s such
Washington University in St. Louis - MATH - 233
Washington University in St. Louis - MATH - 233
Washington University in St. Louis - MATH - 320
Washington University in St. Louis - MATH - 233
EXAM 1 WITH ANSWERS, MATH 233 WEDNESDAY, SEPTEMBER 20, 2000This examination has 30 multiple choice questions. Please check it over and if you nd it to be incomplete, notify the proctor. Do all your supporting calculations in this booklet. In case o
Washington University in St. Louis - MATH - 233
Washington University in St. Louis - MATH - 217
Washington University in St. Louis - MATH - 233
Washington University in St. Louis - MATH - 5062
Washington University Math5062 (Spring 2007)1Homework 7: Due Friday, April 271. Suppose that X1 , . . . , Xn are i.i.d. from a distribution F . Consider the hypothesis H0 : F {N (, 2 ) : - < < , > 0}. Let Mk be the kth sample central 1 mome
Washington University in St. Louis - MATH - 459
Math 459: Bayesian Statistics Solutions to HW 2Andrew Womack March 1, 2009Problem 1: Normal Mean with Improper PriorWe have a random sample y1 , . . . , yn from a N (, 1) distribution. We give the improper prior distribution p() 1 (note that th
Washington University in St. Louis - MATH - 5062
Math5062: Theory of Statistics IIInstructor: Nan Lin Oce: Cupples I, Room 205 Phone: 935-5703 Email: nlin@math.wustl.edu Time and location: 2:00pm - 3:00pm MWF at Cupples I, Room 216 Oce hours: By appointment. You are also encouraged to email me you
Washington University in St. Louis - MATH - 5061
Washington University Math5061 (Fall 2006)1Math5061: Theory of Statistics IInstructor: Nan Lin Oce: Cupples I, Room 205 Phone: 935-5703 Email: nlin@math.wustl.edu Time and location: 2:00pm - 3:00pm MWF at Psychology Building, Room 249 Oce hours:
Washington University in St. Louis - MATH - 5061
Washington University Math5061 (Fall 2006)1Review1. Basic probability theory (Chapter 1, LC) pdf, cdf, marginal, conditional, joint Bayes theorem mgf change-of-variable formula how to obtain moments from mgf properties: mgf for ax + b and
Washington University in St. Louis - MATH - 5061
Washington University Math5061 (Fall 2006)1Homework 7: Due November 6, 20061. Suppose that Xn Binomial(n, p), then pn = Xn /n is the typical estimator of p. ^ Using the delta method, show that the variance stabilizing transformation is given by
Washington University in St. Louis - MATH - 5062
Washington University Math5062 (Spring 2007)1Homework 4, Due March 2, 20071. (Two sample problems) Suppose that we have two independent samples, X1 , . . . , Xn1 2 2 i.i.d. from N (1 , 1 ), and Y1 , . . . , Yn2 i.i.d. from N (2 , 2 ). Show that
Washington University in St. Louis - MATH - 5061
Washington University Math5061 (Fall 2006)1Homework 4: Due October 9, 20061. Suppose that X1 , . . . , Xn are a random sample from N (, 1). Find the Cramer-Rao lower bound for the variance of the unbiased estimators of 2 given by the information
Washington University in St. Louis - MATH - 5061
Washington University Math5061 (Fall 2006)1Homework 51 1. Let X1 , . . . , Xn be i.i.d. random variables having nite = E(X1 ) and = E(X1 ). Find a U-statistic that is an unbiased estimator of . 2. Consider the polynomial model Xi = 0 + 1 ti
Washington University in St. Louis - MATH - 5061
Washington University Math5061 (Fall 2006)1Homework 111. For Problem 3 in Homework 10, find the 90% HPD credible interval of . Note, if the exact HPD credible interval is difficult to calculate, you may find it using an normal approximation to t
Washington University in St. Louis - MATH - 5062
Washington University Math5061 (Spring 2007)1Homework 2, Due February 5, 20071. In class, we proved the Neyman-Pearson lemma for 0 < < 1. Verify the NeymanPearson lemma for = 0 and = 1. 2. Suppose X U nif orm(0, ), and we want to test H0 :
Washington University in St. Louis - MATH - 459
Math 459: Bayesian Statistics Solutions to HW 1Andrew Womack March 1, 2009Problem 1: The Monty Hall ProblemIntuitive SolutionThe information that we will condition on is the fact that Monty will only choose a lesser prize and will never choose t
Washington University in St. Louis - MATH - 459
Washington University Math459 (Spring 2009)1Homework 2: Due Friday February 6, 20091. Suppose y1 , . . . , yn form a random sample from N (, 1). Let the prior of be an improper at prior. Give the posterior distribution of |y1 , . . . , yn . 2.
Washington University in St. Louis - MATH - 5061
Washington University Math5061 (Fall 2006)1Homework 8: Due November 13, 20061. (Cauchy location family) Suppose that X1 , . . . , Xn are i.i.d. from the distribution for which the p.d.f. is 1 , - < x < . f (x) = [1 + (x - )2 ] (a) Find a n-cons
Washington University in St. Louis - MATH - 5061
Washington University Math5061 (Fall 2006)1Homework 6: Due October 30, 20061. Let X1 , X2 , . . . be i.i.d. with E(Xi ) = , V ar(Xi ) = 2 , and V ar(Xi2 ) = 2 < . Let2 Sn1 = nni=1 (Xi Xn )2 .2 (a) Show that the distribution of Sn d
Washington University in St. Louis - MATH - 459
# Mixtures of Conjugate Priorslibrary(LearnBayes)# problem setup: estimate p in Bin(n,p)# a mixture of beta priorscurve(.5*dbeta(x, 6, 14) + .5*dbeta(x, 14, 6), from=0, to=1, xlab="P", ylab="Density")probs=c(.5,.5)beta.par1=c(6, 14)beta.p
Washington University in St. Louis - MATH - 459
## Section 6.7 Learning about a Normal Population from Grouped Data#library(LearnBayes) d=list(int.lo=c(-Inf,seq(66,74,by=2), int.hi=c(seq(66,74,by=2), Inf), f=c(14,30,49,70,33,15)y=c(rep(65,14),rep(67,30),rep(69,49),rep(71,70
Washington University in St. Louis - MATH - 5061
Washington University Math5061 (Fall 2006)1Homework 10: Due November 27, 20061. Suppose that we dene the loss function as L(, a) = | a|. Show that the Bayes estimator of is given by the posterior median. 2. Let X1 , . . . , Xk be independent r
Washington University in St. Louis - MATH - 5062
Washington University Math5061 (Spring 2007)1Homework 3, Due February 19, 20071. Let X1 , . . . , Xn be i.i.d. from N (, 1). For testing H0 : 1or 1 versus H1 : 1 < < 1, nd the level = 0.05 UMP test at n = 10. Specify the test function. 2. S
Washington University in St. Louis - MATH - 5062
Washington University Math5062 (Spring 2007)1Homework 6: Due Wednesday, April 181. Let X1 , . . . , Xn be i.i.d. binary random variables with = P r(X1 = 1). (a) Let the prior () be the c.d.f. of the beta distribution Beta(a, b). Find the Bayes
Washington University in St. Louis - MATH - 5062
Washington University Math5062 (Spring 2007)1Homework 5: Due Wednesday March 28, 20061. Problem 6.3.1 on page 428 in BD. 2. Problem 6.3.6 on page 430 in BD. 3. Let X1 , . . . , Xn be i.i.d. N (, 1) with 0. And we want to test H0 : = 0 versus
Washington University in St. Louis - MATH - 5061
Washington University Math5061 (Fall 2006)1Homework 9: Due November 20, 20061. Let X1 , . . . , Xn be i.i.d. from N (0, 2 ). One can nd an M-estimator of by minimizing the following objective function 1 nn(Xi /) + log i=1for some functio
Washington University in St. Louis - MATH - 5061
Washington University Math5061 (Fall 2006)1Homework 1: Due September 18, 20061. Problem 4 on page 87 of BD. Please also show whether Student's t-distribution belong to an exponential family or not. (BD - Bickel and Doksum (2001) 2. Let (X, Y ) h
Washington University in St. Louis - EPSC - 444
EPSc/EnSt 444 Review Paper Instructions Due in class December 4, 2008 LATE PAPERS WILL NOT BE ACCEPTED! The desired product of this assignment is a paper that reviews a specific topic in Environmental, Aqueous, or Sedimentary Geochemistry. You are ex
Washington University in St. Louis - CS - 260
CS/EE 260M Homework 1 Due Date: 1/27/20001. Mano 1-3. 2. Mano 1-4. 3. Mano 1-5. 4. Mano 1-8. 5. Mano 1-16. 6. Mano 1-24. 7. Mano 1-26. 8. Write a machine-language program similar to the one on page 1-9 of the course notes. Your program should add
Washington University in St. Louis - CS - 260
CS/EE 260M - Homework 3 Due Date: 2/10/20001. Mano 2-16. 2. Mano 2-20. 3. Mano 2-23. 4. Mano 2-24. 5. Mano 2-27. 6. Mano 2-29. Also, Use the schematic editor to enter the circuit for part (b) and simulate for all possible input values. Do both a fu
Washington University in St. Louis - CS - 260
CS/EE 260M - Homework 4 Due Date: 2/17/20001. Mano 3-1. 2. Mano 3-2. 3. Mano 3-4. 4. Mano 3-5. Hand in the schematic and simulation printouts. 5. Mano 3-7. 6. Mano 3-10. 7. Mano 3-12. 8. Mano 3-16. Use the schematic editor to enter the circuit and