       
St 512
Summer Session II, 2007
8:00 - 10:30 M,W,Th in 210 Harrelson 

  *------------------------------------------------------*
  |  Instructor:  D. A. Dickey 17 Patterson Hall 5-1925  |
  |                dickey@stat.ncsu.edu                  |
  |  office hrs:  2:00 - 3:00 Mon., 11:30-12:30 Tues.    |
  |  e-mail  dickey@stat.ncsu.edu                        |
  *------------------------------------------------------*
  |  TAs: (office hours in 9 Patterson)                  |
  |         Luciano DaSilva                              |
  |              Wed: 11:00 to 12:00 and                 |
  |              Fri: 11:30 to 12:30.                    |
  |           Muhtar Osman                               |
  |              Thurs 1:00-3:00pm                       |
  *------------------------------------------------------*

Text: I have class notes that I've always used. These notes are posted on the internet on our Home Page . These and your attention in class should suffice, however I have listed the text Introduction to Statistical Methods and Data Analysis 5th edition by Ott and Longnecker as an optional text for those who would like to have a text reference. It covers most of the topics we will talk about, with some differences in emphasis and order. The page numbers below refer to the Ott and Longnecker text. In the past we have used Rao: Statisical Research Methods in the Life Sciences. The course was originally developed based on the book Principles and Procedures of Statistics (Steel, Torrie, Dickey). However this book has gone out of print. If you can find any of the editions of Steel et al, it will also serve as a good reference after the course is over.

Tentative Outline:


             Mon            Tues         Wed          Thu          Fri
         +=============+============+=============+============+=============+
         |             |  (lab)     |  holiday    |            |             |
 July    |             |        <-book ref.>      | Ch. 11-13  |   (lab)     |
 2-6     | MATRICES    |         <-topic->        | REGRESSION |             |
         | 1 - 10      |        <-notes ref->     |  11-32     |             |
         +=============+============+=============+============+=============
 July    |  **QUIZ 1**    |   (lab)     | Ch.9,14,15 |            |   (lab)     |
 9-13    | REGRESSION  |            | REGRESSION  |  ANOVA     |             |
         |             |            |             | 33-45      |             |
         +=============+============+=============+============+=============
 July    |  **QUIZ 2**    |  (lab)      |            |            |   (lab)     |
 16-20   | REGRESSION  |            | POLYNOMIALS | FACTORIALS |             |
         |             |            |   46-59     |   60-91    |             |
         +=============+============+=============+============+=============
 July    |  **QUIZ 3**    |   (lab)     |            |             |    **QUIZ 4**  |
 23-27   | FACTORIALS  |            | FACTORIALS  |MIXED MODELS|             |
         |             |            |             |   92-113   |             |
         +=============+============+=============+============+=============+
 Jul-Aug |             |   (lab)    |             |            | (no lab)    |
 30-3    | SPLIT PLOTS |            | SPLIT PLOTS | ANCOVA     |             |
         |  114-130    |            |             |            |             |
         +=============+============+=============+============+============= 
 AUG 6     8:00-11:00
           final exam (comprehensive)

Homework: I strongly encourage you to work in groups and discuss the homework. Of course each person is expected to run his/her own programs and write up the answers. You should not just hand in a printout - include some comments/interpretation with appropriate portions of the printout. Typed comments with sections of printout inserted in appropriate places would be great, for example. Homeworks are available online. Background readings can be found on our St 512 home page under SAS help. Your average homework score will count 20 points toward your grade.
Quizzes: I have scheduled 4 quizzes. Each quiz will count 20 percentage points and your lowest score will be dropped so a total of 60 quiz points is available. You can bring 1 standard size sheet of paper with anything you want written on it (both sides) to each quiz. Other than that, they are closed book. You may bring a calculator to the quiz but no other electronic device. There will typically be multiple versions of the exam. Old quizzes, many with answers, are available from our home page. ***Be sure to look at these as the quizzes are notably more challenging than homework. In fact please consider review of the old quizzes to be an ongoing homework assignment with your study group!!!***
Final Exam: The final exam will be in our classroom. It will count 20 points. Notice that quiz 4 will be during our lab time on Friday. During the last week of class, I will estimate a final exam score for each student, based on the quiz and homework points. I will also announce the letter grade cutoff points. You can then take the grade based on your estimated final OR you can take the final. If the actual final score exceeds the estimated one I will recompute your grade using the actual final exam score. You can bring 2 sheets of notes to the final.
Final grade: 20 hw + 60 quizzes + 20 final = 100 points possible.
Integrity: Statistical studies often result in decisions that affect others' lives. Honesty is perhaps the very most important characteristic of any research scientist. University regulations require that every course syllabus remind students that the Code of Student Conduct defines a university policy on academic integrity already pledged by each student. Instructors assume that the students' names on their submitted work imply compliance with this policy. See http://www.ncsu.edu/policies/student_services/student_discipline/POL11.35.1.php
Odds and ends: If you must miss a quiz for some valid reason, let me know. I will use your final exam (you'd have to take it) to impute a grade for that one missed quiz, or you could use that quiz as the dropped one.