Class Times, Days, and Place: 9:00-9:50 MWF, 442 MCK
Instructor: Hao Wang
Text Book: A Second Course in Statistics: Regression Analysis
(5th Edition) by W. Mendenhall et al.
Office: 11A Deady Hall
Office Hours: Tue 2:00pm-3:00pm; Thur 2:00pm-3:00pm;
(Otherwise, you need to make an appointment with me by e-mail.)
Email: haowang@darkwing.uoregon.edu
Web URL: http://darkwing.uoregon.edu/~haowang/teaching/427_SPR2003/427.html
Grading Policy
Your course grade is the sum of following performance scores: The homeworks will count as 15% of the course grade; The in-class quizzes will count as 10%; The midterm will count as 15%; and the final exam will count as 60%.
Quizzes: During the term, there are several in-class quizzes. The day of a quiz is not completely fixed. The duration of a quiz ranges from 20 to 50 minutes. The quiz scores will be averaged and contributed to the course grade. There is no make-up quiz.
Homework: For this special course which is a synergetic union of computer and statistics, sometimes a homework or exam. will consist of one or more big project(s) depending on the ongoing teaching topics. Homework questions and due date are posted in the following Tentative Syllabus of this web page which will be updated very often. Homework is due weekly before 3:00pm of each Friday or the date specified in the Tentative Syllabus. It is your responsibility to check the updated Tentative Syllabus each Thursday afternoon or the date before the specified due date in the Tentative Syllabus. Late handing in homework will not be accepted. One lowest homework score will be dropped and the remaining homework scores will be averaged and contributed to the course grade. You can discuss with other students while working on your homework problems, but copying other students' answers is not allowed, otherwise a penalty of score deduction may be given. Your solution to each homework problem should be legible and should describe your ideas clearly. No details will have no scores. Please use 8.5" by 11" sheets to do your homework and don't forget to write down your first name, middle name and last name (In order to protect your rights to confidentiality of your papers, don't write down your ID number on homework paper.) on each page. Your homework will be returned in the class. Remaining unpicked homeworks will be put in a return box which is located in the front door of 11 DEA. Poor attendance may alter this policy; see "Attendance" below.
Exam: For this special course which is a synergetic union of computer and statistics, sometimes a homework, quiz or exam. will consist of one or more big project(s) depending on the ongoing teaching topics. There are a midterm and a final exam. For each exam (including quizzes), you can bring a 8.5" by 11" sheet with formulae or useful notes for you, but discussing and any cheating are not allowed during the exam, otherwise a penalty of score deduction from your exam may be given. Your solution to each exam problem should be legible and describe your ideas clearly. No details will have no scores. All students take the final exam at the UO specified time. There is no make-up exams.
Attendance: Attendance is mandatory. You are responsible for all the announcements, changes, course information, and topics that I cover in class. If you miss a substantial number of lectures without discussing the matter with me and without a valid excuse, I may refuse to accept homework from you, late or on time.
Overview: We know that computer makes statistics more powerful.
This course is just designed for students who need the synergetic union
of computer and statistics in their current and future research and work.
We will first introduce the calculation techniques, algorithms, and programing
in Matlab language to handle basic calculation in statistics. This gives
students the ability to modify the existing statistics software packages.
Then, we will continuously improve our Matlab programing skills and
same time study more statistics topics such as simple linear regression,
multiple regression, model building, regression pitfalls, residual
analysis, and some special topics and so on.
Tentative Syllabus
(Updated on May 14, 2003)
| Tentative Date | Remarks | Sections covered in Class | Homework due date |
|---|---|---|---|
| 3/31M | Pre-requirement
checking, Matlab basic, help desk |
||
| 4/2W | Matlab basic, some Matlab syntax | ||
| 4/4F | Data input, data modification, sorting,
calculation of mean, variance, skewness kurtosis, construction of histogram |
#1(You can find homework questions
in the following homework question subdirectory ) |
|
| 4/7M | plotting, scattergram, qq-plot, pp-plot,
function-plot |
||
| 4/9W | randon number generation | ||
| 4/11F | programming and simulation | #2(You can find homework questions
in the following homework question subdirectory ) |
|
| 4/14M | program for goodness-of-fit test | ||
| 4/16W | program for analysis of variance | ||
| 4/18F | program for contingency table | #3(You can find homework questions
in the following homework question subdirectory ) |
|
| 4/21M | quiz #1 | ||
| 4/23W | 3.1;3.2 | ||
| 4/25F | 3.3; 3.4 | #4(You can find homework questions
in the following homework question subdirectory ) |
|
| 4/28M | 3.5; 3.6 | ||
| 4/30W | 3.7; 3.8 | ||
| 5/2F | 3.9, (leave 3.10 for student reading);3.11 | In the future, if I only give you numbers as follow, this means
that your homework questions are chosen from your textbook.
Otherwise, I will give you the detailed description of the questions. #5( 3.9; 3.10; 3.13; 3.18; 3.24; 3.28 ) |
|
| 5/5M | 4.1; 4.2; 4.3 | ||
| 5/7W | 4.4; 4.5; 4.6 | ||
| 5/9F | Review Session | #6(3.30 part b; 3.35; 3.36; 3.37; 3.42; 3.44; 3.58; 3.61 ) | |
| 5/12M | Midterm Exam | Cover Matlab program skills and Chapter 3. | |
| 5/14W | Midterm solutions, Homeworks | ||
| 5/16F | 4.7; 4.8 | #7( 4.6; 4.8; 4.10; 4.12; 4.20; )
Remark: Due to midterm and projects, the work load of the homework of this week is reduced. |
|
| 5/19M | 4.9 and examples | ||
| 5/21W | No class (Most students have actuarial exam) | ||
| 5/23F | 5.1; 5.2; 5.3 | #8(4.23; 4.24; 4.27; 4.31; 4.33; 4.34; 4.35; 4.36; ) | |
| 5/26M | Memorial Day Holiday
No Class |
||
| 5/28W | 5.4; 5.5; 5.6 | ||
| 5/30F | 6.1; 6.2; 6.3; 6.4 | #9( 5.5; 5.6; 5.8; 5.10; 5.12; 5.14; 5.15; 5.16; ) | |
| 6/2M | 6.5; 6.6; 6.7 | ||
| 6/4W | Review, Evaluation | ||
| 6/6F | Review | ||
| Office Hour before Final: | June 9
2:30pm - 4:30pm |
June 10
2:30pm - 4:30pm |
|
Final Exam : 10:15am-12:15pm Wednesday, June 11, 2003, 442 MCK |
|||
| Homework questions | Lecture Notes | All solution |