# Register now to access 7 million high quality study materials (What's Course Hero?) Course Hero is the premier provider of high quality online educational resources. With millions of study documents, online tutors, digital flashcards and free courseware, Course Hero is helping students learn more efficiently and effectively. Whether you're interested in exploring new subjects or mastering key topics for your next exam, Course Hero has the tools you need to achieve your goals.

7 Pages

### Lecture_12

Course: ESE 12, Fall 2009
School: UPenn
Rating:

Word Count: 193

#### Document Preview

302 LECTURE SYSTEMS 12 CONFIDENCE INTERVALS Quality Control Charts Sample Design Problem ONE-SIDED INTERVALS Pollution Example Critical Confidence Levels For next time: Devore, Sections 7.2.-7.3 (omit 7.4) CONFIDENCE INTERVALS Given the probability interval for X n in terms of : (1) Pr za / 2 ( n X n + za / 2 n ) = 1 observe that since (2) za / 2 n X n + za / 2 n n n X n za...

Register Now

#### Unformatted Document Excerpt

Coursehero >> Pennsylvania >> UPenn >> ESE 12

Course Hero has millions of student submitted documents similar to the one
below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.

Course Hero has millions of student submitted documents similar to the one below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.
302 LECTURE SYSTEMS 12 CONFIDENCE INTERVALS Quality Control Charts Sample Design Problem ONE-SIDED INTERVALS Pollution Example Critical Confidence Levels For next time: Devore, Sections 7.2.-7.3 (omit 7.4) CONFIDENCE INTERVALS Given the probability interval for X n in terms of : (1) Pr za / 2 ( n X n + za / 2 n ) = 1 observe that since (2) za / 2 n X n + za / 2 n n n X n za / 2 X n + za / 2 we obtain the equivalent confidence interval for in terms of X n as (3) Pr X n za / 2 ( n X n + za / 2 n ) = 1 This is also written as: X n za / 2 n = 100(1 )% confidence interval for GENERAL PROCEDURE FOR TWO-SIDED INTERVALS (1) Choose Level [Confidence 1 ]: (2) Determine Standard Error (3) Conclude that: X n za / 2 n ( ) n n X n + za / 2 with 100(1 )% confidence. TYPICAL VALUES: Conf. Level strong standard weak 99% 95% 90% Level .01 .05 .10 z Value 2.58 ( z.005 ) 1.96 ( z.025 ) 1.65 ( z.05 ) SAMPLE DESIGN PROBLEM For any given maximal deviation, , and confidence level, 100(1 ) , what is the smallest sample size, n which will ...

Find millions of documents on Course Hero - Study Guides, Lecture Notes, Reference Materials, Practice Exams and more. Course Hero has millions of course specific materials providing students with the best way to expand their education.

Below is a small sample set of documents:

UPenn - ESE - 302
SYSTEMS 302LECTURE 12 CONFIDENCE INTERVALS Quality Control Charts Sample Design Problem ONE-SIDED INTERVALS Pollution Example Critical Confidence Levels For next time: Devore, Sections 7.2.-7.3 (omit 7.4)CONFIDENCE INTERVALSGiven the pro
UPenn - ESE - 22
SYSTEMS 302LECTURE 22 MULTICOLINEARITY PROBLEM Correlation Analysis Variance Inflation Factors STEPWISE REGRESSION Mixed Method P-Values versus R-Square ADDITIONAL DIAGNOSTICS Heteroscedasticity Autocorrelation PROJECT DUE DATE: Wednesday
UPenn - ESE - 302
SYSTEMS 302LECTURE 22 MULTICOLINEARITY PROBLEM Correlation Analysis Variance Inflation Factors STEPWISE REGRESSION Mixed Method P-Values versus R-Square ADDITIONAL DIAGNOSTICS Heteroscedasticity Autocorrelation PROJECT DUE DATE: Wednesday
UPenn - ESE - 2
SYSTEMS 302LECTURE 2 DISCRETE RANDOM VARIABLES Bernoulli Random Variables Binomial Random Variables SUMS OF RANDOM VARIABLES Means of Sums Variance of Sums For next time: Devore, Sections 5.1,5.2,5.5ASSERTION: The probability of heads on
UPenn - ESE - 302
SYSTEMS 302LECTURE 2 DISCRETE RANDOM VARIABLES Bernoulli Random Variables Binomial Random Variables SUMS OF RANDOM VARIABLES Means of Sums Variance of Sums For next time: Devore, Sections 5.1,5.2,5.5ASSERTION: The probability of heads on
UPenn - ESE - 23
SYSTEMS 302LECTURE 23 PARTIAL RESIDUAL PLOTS HETEROSCEDASTICITY Variance-Stabilizing Transformations Weighted Least Squares AUTOCORRELATION PROBLEM Durbin-Watson Test Two-Stage Regression Approach Auxiliary-Variable Approach For next time:
UPenn - ESE - 302
SYSTEMS 302LECTURE 23 PARTIAL RESIDUAL PLOTS HETEROSCEDASTICITY Variance-Stabilizing Transformations Weighted Least Squares AUTOCORRELATION PROBLEM Durbin-Watson Test Two-Stage Regression Approach Auxiliary-Variable Approach For next time:
UPenn - ESE - 24
SYSTEMS 302LECTURE 24 AUTOCORRELATION PROBLEM Durbin-Watson Test Two-Stage Regression Approach Auxiliary-Variable Approach REGRESSION OUTLIERS Cooks Distance For next time: Logistic Regression NotesSALES FORCASTING PROBLEMOne of the olde
UPenn - ESE - 302
SYSTEMS 302LECTURE 24 AUTOCORRELATION PROBLEM Durbin-Watson Test Two-Stage Regression Approach Auxiliary-Variable Approach REGRESSION OUTLIERS Cooks Distance For next time: Logistic Regression NotesSALES FORCASTING PROBLEMOne of the olde
UPenn - ESE - 14
SYSTEMS 302LECTURE 14 CONFIDENCE INTERVALS WITH UNKNOWN VARIANCE Large Sample Case Student t-Distribution REGRESSION APPLICATIONS Confidence Intervals for Betas Confidence Intervals for Conditional Means For next time: Devore, Sections 12.3
UPenn - ESE - 302
SYSTEMS 302LECTURE 14 CONFIDENCE INTERVALS WITH UNKNOWN VARIANCE Large Sample Case Student t-Distribution REGRESSION APPLICATIONS Confidence Intervals for Betas Confidence Intervals for Conditional Means For next time: Devore, Sections 12.3
UPenn - STAT - 621
Fall Semester, 2001 Robert StineStatistics 621Lecture 11 -1-Diagnostics for Multiple Regression PreliminariesOffice hours Wednesday 3-5:30, Friday from 9-12 noon. E-mailReview of Key Points from Lecture 10Tukey-Kramer procedure Use this
Mississippi State - EE - 8223
Fall 1999EE 8223 Analog IC DesignPage 44From the figure below, note the output voltage value at which ID1 = ID2 and the effect of finite output resistance.Example 20.2 illustrates how multiple ratioed currents are mirrored. In this example o
Mississippi State - EE - 4253
EE 4253/6253 Lecture NotesSeptember 7, 1998page 38MOSFET Device OperationACCUMULATION polysilicon gate silicon dioxide insulatorVGS &lt; VTp-substrateDEPLETIONdepletion region VGS VTINVERSIONinversion region (n-type) depletion region
Mississippi State - EE - 8223
Fall 2000EE 8223 Analog IC DesignPage 67Bandgap voltage references Bandgap voltage references, if properly designed, can achieve extremely low temperature coefficients. A low TC is achieved by summing the negative TC of a diodes forward voltag
Mississippi State - EE - 8223
Fall 1999EE 8223 Analog IC DesignPage 35The small-signal bulk-to-channel transconductance (or simply body transconductance) in SI saturation operation isI = const D D i V K1 g mb = = g m THN = g m K 2 = g m v SB v SB V SB = con
Mississippi State - EE - 4253
EE 4253/6253 Lecture NotesOctober 6, 1998page 96SPICE Computation of MOS Capacitance.M1 4 3 5 0 NFET W=4U L=1U AS=15P AD=15P PS=11.5U PD=11.5U . . .MODEL NFET NMOS + TOX=200E-8 + CGBO=200P CGSO=600P CGDO=600P + CJ=200U CJSW=400P MJ=0.5 MJSW=0
Mississippi State - AIS - 8103
FACTORS AFFECTING INVOLVEMENT OF VOLUNTEERS IN EXTENSION EDUCATION ACTIVITIES IN TALESH TOWNSHIP, IRAN Mohammad Chizari,Associate Professor, Tarbiat Modarres UniversityJames R Lindner, Senior Research Associate, The Ohio State University Sassan Kar
Mississippi State - AIS - 8523
Mississippi State - AIS - 3803
Situational LeadershipAISE 3803Objectivesl l l lDescribe situational leadership theory. Examine several situation leadership theories in practice. Practice the application of situational leadership. Self-assess the degree of situational leader
Mississippi State - AIS - 3803
Learning, Personality, &amp; Trait TheoryAISE 3803Objectivesl l lExamine the impact of learning styles in a group setting. Define selected theories of personality type development. Explore the affects of personality types in a group setting.Lear
Mississippi State - AIS - 3803
Mississippi State - AIS - 3803
Effective Communication IAISE 3803Objectives Define and give an example of nonverbalcommunication. Describe the six functions of nonverbalcommunication. Describe and explain the role of the eighttypes of nonverbal symbols. Differentiate
Mississippi State - AIS - 3803
LeadershipAISE 3803ObjectivesAnalyze various definitions of leadership. Examine myths about leadership. Understand the importance of concepts such as needs and motivation. Explain the differences among the motivational theories of Maslow, Alderf
Mississippi State - AIS - 3803
Team BuildingAISE 3803Objectives Be able to explain the difference between a group and a team. Learn how to recognize situations that call for teamwork rather than group behavior. Learn how to build a team from a group.Question What is the d
Mississippi State - AIS - 3803
Mississippi State - AIS - 8103
AISE 8103: Week 5 Notes1Cultural Impact on International Rural DevelopmentAISE 8103Objectives for TodayExamine the components of cultural knowledge and awareness. Define and describe cultural viewpoints, values, attitudes, communication facto
Mississippi State - AIS - 8103
COMMENTARY TRENDS IN IRISH AGRICULTURE : IMPLICATIONS FOR EXTENSION AND RURAL DEVELOPMENT J. F. Phelan, Head Department of Agribusiness Extension and Rural Development University College, Dublin Belfield, Dublin 4, Ireland (353) 1 7067793 (353) 1 706
Mississippi State - AIS - 8103
COMMENTARY BUILDING A PARADIGM OF NONFORMAL EDUCATION ADMINISTRATION: FOCUS ON COMPETENCIES Arlen W. Etling, Associate Professor Department of Agricultural Leadership, Education, and Communication University of Nebraska, Lincoln 114 Ag Hall, P.O. Box
Mississippi State - AIS - 8103
INSIKA YOUTH PROGRAM ADDRESSING AN EDUCATIONAL CRISIS IN SOUTH AFRICA Dennis W. Eaton, Graduate Assistant Department of Agricultural and Extension Education The Pennsylvania State University Abstract This article highlights a project undertaken by a
Mississippi State - AIS - 8103
INTERNATIONAL PROGRAM PLANNING REFERENCE MATERIALSAgricultural Education and Extension Service (ESHE). (1990). Global consultation on agricultural extension. Italy: Food and Agriculture Organization of the United Nations. Althen, Gary. (1988). Ameri
Mississippi State - AIS - 8103
AISE 8103: Week 12 Notes1Program Research in International Agricultural DevelopmentAISE 8103Objectives for TodayExamine recent research projects and their implications for international agricultural education and/or development. Explore inter
Mississippi State - AIS - 8103
CONSIDERATIONS FOR HOSTING INTERNATIONAL GUESTSContents Planning for an International Visit Language Questions Most Asked About America First ImpressionsBarbara G. Ludwig Professor &amp; Chair, Department of Extension Ohio State University Extension 0
Mississippi State - AIS - 8103
Improving the Quality of Higher Education in Agriculture Globally in the 21st Century: Constraints and Opportunities David G. Acker Director, International Agriculture Programs College of Agriculture Iowa State University Outstanding research paper f
Mississippi State - AIS - 8103
An Evaluation of the Family Support Program in Akwa Ibom State, Nigeria Bridget O. Udoh Doctoral Student Louisiana State University Abstract The primary purpose of this study was to examine the extent to which the Family Support Program (FSP) was abl
Mississippi State - AIS - 8103
AISE 8103: Week 2 Notes1Overview of the World's Development SituationGary J. Wingenbach, Assistant Professor And Maria Navarro, Collaborator Agricultural Leadership, Education, and Communication The University of GeorgiaObjectives for TodayEx
Mississippi State - AIS - 8103
TABLE 2.5Lower average wage for womenWomens nonagricultural wage as % of mens 92.0 91.5 90.8 89.8 89.6 89.0 86.0 86.0 84.7 84.7 84.5 83.5 83.0 82.6 82.0 81.3 81.0 80.6 80.0 79.5 78.0 78.0 78.0 78.0 77.0 76.7 76.0 76.0 76.0 75.8 75.0 75.0 74.5 74.5
Mississippi State - AIS - 8103
COMMENTARY THE PUBLIC SECTOR AGRICULTURAL EXTENSION SYSTEM IN EGYPT: A PLURALISTIC COMPLEX IN TRANSITION William M. Rivera, Associate Professor College of Agriculture and Natural Resources 3119 Jull Hall University of Maryland College Park, MD 20742
Mississippi State - AIS - 8103
THE EMERGING ROLE FOR AGRICULTURAL EDUCATION IN PRODUCING FUTURE RESEARCHERS Lindsay Falvey, Dean Faculty of Agriculture, Forestry and Horticulture The University of Melbourne Parkville, Melbourne, Australia 61-3-93445029 61-3-93482156 (fax) l.falvey
Mississippi State - AIS - 8103
BURNOUT, JOB SATISFACTION AND WORK SITUATIONS AS PERCEIVED BY DISTRICT EXTENSION OFFICERS, ONDO STATE, NIGERIA Robert Agunga, Associate Professor Department of Agricultural Education The Ohio State University 203 Agricultural Administration Building
Mississippi State - AIS - 8103
FACTORS ASSOCIATED WITH ADMINISTRATORS' ATTITUDES TOWARD AGRICULTURAL EDUCATION AT THE PRIMARY SCHOOL LEVEL IN BELIZE David Eck, Education Officer Belize City, Belize Robert M. Torres, Assistant Professor Agricultural and Extension Education New Mexi
Mississippi State - AIS - 8103
A Coming of Age: Revisiting Aiaee Scholarship Dr. Larry E. Miller, Professor Department of Human and Community Resource Development The Ohio State University Dr. Lorilee Sandman, Director Outreach Program Development Office of Vice Provost for Univer
Mississippi State - AIS - 8523
WORKSHOP BACKGROUND INFORMATIONThe Division of Continuing Education at Mississippi State University received a grant from the Mississippi Department of Education (MDE), Office of Vocational Technical Education (OVTE) to offer professional developmen
Mississippi State - AIS - 8103
Perceptions and Assessments of Selected Topics by Lithuanian Teachers Who Participated in Agricultural Education In-service Seminars in 1999M. Craig Edwards Visiting Assistant Professor College of Agriculture and Life Sciences Texas A&amp;M University,
Mississippi State - AIS - 8103
STAKEHOLDER VIEWS ON AGRICULTURAL EDUCATION IN AUSTRALIA Professor Lindsay Falvey, Dean and CEO Institute of Land and Food Resources The University of Melbourne Melbourne, Australia Ms. Bernadette Matthews Institute of Land and Food Resources The Uni
Mississippi State - AIS - 8103
AISE 8103: Week 6 Notes1Gender Issues in Agricultural DevelopmentMaria Navarro, Instructor Agricultural Leadership, Education, and Communication The University of GeorgiaSelected LessonsSelected lessons within this unit include:Gender Issues
Mississippi State - AIS - 3803
Conflict ManagementAISE 3803Objectivesn n n nDefine conflict in group settings. Determine the sources of conflict. Identify the causes of conflict. Discuss conflict management strategies and potential outcomes.n nFunctional consequences. Dys
Mississippi State - AIS - 3803
Leadership Developmentin Agriculture and Life SciencesAISE 3803 Internet Site: http:/www.ais.msstate.edu/AEE/3803/AGRICULTURAL INFORMATION SCIENCE AND EDUCATION 3803FALL SEMESTER 2000LEADERSHIP DEVELOPMENT in AGRICULTURE and LIFE SCIENCES Agr
Mississippi State - AIS - 2613
Course SyllabusAIS 2613: Introduction to Information and Decision Science in Agro-ecosystems Department of Agricultural Information Science &amp; Education College of Agriculture and Life Sciences Mississippi State University Fall 2000 Instructor Gary J
Mississippi State - APRIL - 04
Journal of the Mississippi Academy of SciencesVolume 49 April 2004 Number 2ContentsJournal of the Mississippi Academy of Sciences Editor Kenneth J. Curry University of Southern Mississippi Associate Editors Maria F.T. Begonia Jackson State Univer
Mississippi State - APRIL - 08
UPenn - P - 07
Generating a Table-of-ContentsS.R.K. Branavan, Pawan Deshpande and Regina Barzilay Massachusetts Institute of Technology {branavan, pawand, regina}@csail.mit.eduAbstractThis paper presents a method for the automatic generation of a table-of-cont
UPenn - C - 88
Efficiency Considerations for LFG-Parsers - Incremental and Table-Lookup TechniquesI s t v n Btori a n d Stefan M a r o k FB 2 Linguistics E W H R h e i n l a n d - P f a l z , l~heinun 3-4, D-5400 Koblenz~ F R GAbstractThe paper presents a conc
UPenn - J - 85
5-ira1Formerly the American Journal of Computational LinguisticsVolume 11, Numbers 2-3April-September 1985SECOND OF T W O SPECIAL ISSUES ON M A C H I N E T R A N S L A T I O N Guest Editor: Jonathan SlocumThe J a p a n e s e G o v e r n m e
UPenn - ACL - 2004
Table of ContentsOptimization in Multimodal Interpretation Joyce Y. Chai, Pengyu Hong, Michelle X. Xhou and Zahar Prasov . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Constructivist Development of Grounded Construction Gram
UPenn - ACL - 2004
Table of ContentsThe Perils and Rewards of Developing Restricted Domain Applications Daniel Marcu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
UPenn - ACL - 2004
Table of ContentsCategory competition drives contrast maintenance within an exemplar-based production/perception loop Andrew Wedel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
UPenn - ACL - 2004
Robust VPE detection using Automatically Parsed TextLeif Arda Nielsen Department of Computer Science Kings College London nielsen@dcs.kcl.ac.ukAbstractThis paper describes a Verb Phrase Ellipsis (VPE) detection system, built for robustness, accu
UPenn - ACL - 2004
Improving Pronoun Resolution by Incorporating Coreferential Information of CandidatesXiaofeng Yang Jian Su Guodong Zhou Chew Lim Tan Institute for Infocomm Research Department of Computer Science 21 Heng Mui Keng Terrace, National University of S
UPenn - EACL - 2006
Table of ContentsWhats There to Talk About? A Multi-Modal Model of Referring Behavior in the Presence of Shared Visual Information Darren Gergle . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
UPenn - P - 07
Generating Usable Formats for Metadata and Annotations in a Large Meeting CorpusAndrei Popescu-Belis and Paula Estrella ISSCO/TIM/ETI, University of Geneva 40, bd. du Pont-dArve 1211 Geneva 4 - Switzerland {andrei.popescu-belis, paula.estrella}@issc