Math 426/526
(25312/25313)

Class Times, Days, and Place: 9:00-9:50 MWF,  442 MCK
Instructor: Hao Wang
Text Book: Introduction to Probability and  Statistics   (12th Edition) by W. Mendenhall et al.
Office: 11A Deady Hall
Office Hours: W: 11:00-11:50am, F:11:00-11:50am (Otherwise, you need to make an appointment with me by e-mail.)
Email: haowang@uoregon.edu
Web URL: http://uoregon.edu/~haowang/teaching/426_WIN2009/426.html

Grading Policy

Your course grade is the sum of  following performance scores: The homeworks will count as 20% of the course grade; The in-class quizzes will count as 20%; The midterm will count as 30%;  and the final exam will count as 30%.

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 30 to 50 minutes. The quiz scores will be averaged and contributed to the course grade. Generally there is no make-up quiz.

Homework:  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 class of each Friday or the time and date specified in the Tentative Syllabus. It is your responsibility to check the updated Tentative Syllabus before the specified due date. 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 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 class.  Poor attendance may alter this policy; see "Attendance" below.

Exam and tests:  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 independent work is required.. 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 in UO specified  final exam time. Generally there is no make-up quiz or exam except for serious illness with valid doctor's statement or other special excuse with valid document.

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, a score deduction from your homework and quizzes may be given.
  
Remark:  This is the first time to reform this course by introducing a synergetic union of statistics and computer techniques. We will spend some time to  introduce MatLab  and  programming.  There is no requirement of prerequisite on the computer science.  So we may need to  change our  tentative syllabus.

                                            Tentative Syllabus
                             (Updated on Dec. 31st, 2008)
 
Date Content Covered  Sections Covered 
Homework Numbers and Question Numbers (QNS)
(Note: Homework QNS may be  changed) 
  1/5-1/9
    Introduce Basic MatLab

 #(1)  homework questions will be posted here.   
  1/12-1/16
     Programmingtechniques

 #(2)  homework questions will be posted here.
  1/19-1/23

No Class on 1/19 (Martin Luther King Jr. Day)
Quiz #1 on  1/21
.
Sampling dist. of sample proportion,
Large sample estimation,
point estimation ,
Interval estimation
7.6;
8.1; 8.2; 8.3; 8.4,8.5 
  #(3) homework questions will be posted here.
  1/26-1/30
 Application examples of
interval estimation,
 Estimating difference of two 
population means
8.5, 8.6, 8.7

 #(4) 7.39; 7.42; 7.43; 7.44; 7.45; 7.46;  7.64; 7.70
 due on 1/30
  2/2-2/6
 Estimating difference of two 
binomial proportions,
 Chosing the sample size,
 Quiz #2 on 2/4
8.5, 8.6, 8.7, 8.9
 
 #(5) 8.11; 8.12; 8.13; 8.30; 8.31; 8.32; 8.33; 8.34;
 8.35; 8.36; 8.37
 due on 2/6
  2/9-2/13
 Test of hypothesis,
 Large sample test of 
population mean,
 Application examples of
test of population mean

 
 9.1, 9.2, 9.3

 #(6) 8.41; 8.42; 8.43; 8.44; 8.45; 8.56; 8.57; 8.68; 
8.74; 8.76; 8.77;
 due on 2/13
 2/16-2/20   
 
Midterm Exam on Feb 16,
 Test of hypothesis of 
difference of two population means,
 Test of hypothesis for a 
binomial proportion,
 Test of hypothesis of difference 
between two binomial proportions
 9.4, 9.5, 9.6

 #(7) 8.53; 8.54; 8.58; 8.59; 8.69; 8.73; 8.75; 8.78; 8.79; 
 9.10; 9.11; 9.21; 9.23
 due on 2/20
  2/23-2/27
 
Inference from small samples, t-distribution, Small sample inference for a population mean,
  Small sample inference for 
difference of two population means
 10.1, 10.2, 10.3,  10.4

 #(8) 9.24; 9.25; 9.28; 9.34; 9.35; 9.36; 9.37; 9.38; 9.45;
 9.46; 9.47
 due  on  2/27
  3/2-3/6
 Quiz #3 on 3/2
The analysis of variance,
One-way classification, ANOVA
for a complete random design
 
 11.1, 11.2, 11.3,
 11.4
 
 #(9) 10.6; 10.7; 10.8; 10.24; 10.25; 10.26; 10.27; 10.28;
10.30; 10.32;
 due on 3/6
  3/9-3/13
 Testing the equality of the treatment 
means,CI for treatment means,
 k sample data,
application examples of k sample data,
 Contingency tables,
 application examples
 11.4, 11.5, 14.1-14.3
 
 #(10) 11.1; 11.2; 11.3; 11.4; 11.10; 11.11
 due on 3/13
 
 
 



 
 
 

     
 
   


   

 




 Office Hours:

The final exam will start at 10:15am, March 20th, 2009




 
 
 
 



 Solutions and Notes


 
 

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