Statistical Techniques II Syllabus Page 1 James P. Geaghan - Copyright 2011 Syllabus Fall 2011 EXST7015 – Statistical Techniques II Class Meets : Tuesday and Thursday from 9:00 to 10:30 AM in 155 Coates Hall Professor: JAMES P. GEAGHAN Office 149 Agriculture Administration Building Office hours Tuesdays & Thursdays, 10:40–11:30 (or call for appointment anytime) Telephone (225) 578 - 8303 Internet materials Email address: [email protected] http://www.stat.lsu.edu (department home page) http://www.stat.lsu.edu/faculty/geaghan/jpghome.html Labs are held in Room 11, Ag Admin Bldg. Lab Instructor Office Agriculture Administration Building Office hours Scheduled by Lab Instructor Lab Times (1)Tues 3:10 – 5:00, (2H) Wed 8:40 – 10:30 & (3) Wed 10:40 – 12:30 Grading Points: 2 exams @ 100 points each 200 1 final @ 150 points 150 Group Poster 50 Quizzes: Daily quizzes on random dates @ 25 points total 50 Weekly lab assignments @ 100 points total 100 TOTAL 550 Exam Schedule: See online calendar for confirmation of all datesPoster Description Thursday, September 22, 2011 – Poster description due First Exam Tuesday, October 11, 2011 – Exam 1 Second Exam Thursday, November 17, 2011 – Exam 2 Poster due Tuesday, November 29, 2011 @ 1:39 PM Final Exam Saturday, December 10, 2011 from 12:30 PM - 2:30 PM Course Grading: 0.5 % % 0.5 % 5.50  Exam1 Exam2 Poster Lab Quiz FinalScore Letter grade Guaranteed minimum letter grade assignment 90 – 100 points, minimum grade of A 80 – 89.9 points B 70 – 79.9 points C 60 – 69.9 points DStatistical Techniques II Syllabus Page 2 James P. Geaghan - Copyright 2011 TEXT (recommended, not required): Rudolf J. Freund, Donna Mohr & William J. Wilson . 2010. Statistical Methods (3rd Edition) Academic Press, N.Y., 824 pages. (ISBN: 978-0-12-374970-3). Also acceptable are some older editions, edition 2 (2003) and the revised edition (1997) area acceptable, the 1993 edition is unadvisable. Textbook is recommended, not required. It is used for lab assignments and as a reference. Catalog Course Description : 7015 Statistical Techniques II (4) F,S Prereq.: EXST 7005 or equivalent. 3 hrs. lecture; 2 hrs. lab. Credit will be given for only one of the following: EXST 7013, 7014, 7015, 7019. Multiple classification analyses of variance and covariance, sampling designs, parameter estimation, multiple regression and correlation,tests of specific hypothesis, and factorial experiments; emphasis on field-oriented life sciences research problems.. Note the prerequsite: “EXST7005 or equivalent”. EXST7003 and EXST7004 are equivalent. If you have not had one of these you need permission of the instructor. Course content Introduction Exp Design Identification Simple Linear Regression (SLR) – review Calculations and Equations Example Intrinsically Linear Regression (Curvilinear) Example Matrix Algebra Introduction Matrix Sweepout Example Multiple Regression – extra sum of squares example Regression Diagnostic Criteria Multicolinearity Variable Diagnostics SENIC example Observation Diagnostics Variable Selection Polynomial Regression (Curvilinear) with example Logistic Regression with example Analysis of Covaviance with example Analysis of Variance – Introduction ANOVA Example Experimental Design Design layouts Creating Expected Mean Squares Examples Post ANOVA Tests and Calculations Post ANOVA Contrasts Orthogonal Polynomial Tables with examples Randomized Block Design with example Treatment arrangements with examples SplitPlot with examples Covariance Structures LSMeans Analysis of Covariance (Revisted, time permitting) with exampleStatistical Techniques II Syllabus Page 3 James P. Geaghan - Copyright 2011 FAQ and Rules This first day information handout is not all repeated in the course packet from Copies Too, so don’t lose it. Be sure to use my correct email address: Jay Geaghan = [email protected] “Common” courtesies: I expect you to refrain from talking in class and please TURN OFF YOUR CELLULAR PHONE WHILE YOU ARE IN CLASS!!! Except me, of course (security). This is not a distance ed class – attendance is expected. Absence from quizzes is excused ONLY with an email from your major professor; you still must provide answers to the quiz via email Attendance at review sessions (when offered) is optional. The intent is to answer your questions, I will not have materials to present and no new material will be covered. There will be no review for the final exam. Daily Design I will be placing a design description on the Internet for each class. You should plan on examining this design before class. At the beginning of each class I will randomly determine whether we have a quiz on that design or not. A quiz will consist of specifying the dependent variable, experimental and sampling units, treatments, blocks, random effects, etc. I do not intend to spend much time on this daily activity. If there is a quiz, I will allow 5 minutes for you to answer and turn in quiz. If not, I will give you the answers. We will address most of these in the design section of the course (following regression). However, some will be covered in the daily design. Notes on Exams Corrections of Exam scores must be made within 48 hours of the return of the exam. Final exams not returned. Grades for final exam%, lab%, and daily quizzes will be posted only with signed permission. Grades will not be provided by email. All exams and the final are in the regular classroom. On the exam you will be allowed to bring a calculator - I do not expect to have many calculations on the exam, but there may be some. - For example, calculating a t-test for a slope for an hypothesized value other than zero (thought this may be in the output, always check first). - Also confidence intervals on slopes and treatment means. You may bring one “cheat sheet” to class; an 8.5 by 11 page written on both sides. I do not collect these pages. The number of pages you may have for the 2 exams and final are 1 for the first exam, 1 for the second exam & 3 for the final exam. I will provide you with t-tables for an exam when I feel they are needed. You will need to understand MY tables. Tables are available in the course packet and in the internet.. Cheating and Plagiarism: This course is conducted in