426

Math 426/526
(24895/24904)

Class Times, Days, and Place: 9:00-9:50 MWF, 208 DEA
Instructor: Hao Wang
Text Book: Introduction to Probability and Statistics (11th Edition) by W. Mendenhall et al.
Office: 11A Deady Hall
Office Hours: M:11:30-12:20am, W:11:30am-12:20am (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/426_WIN2005/426.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 also count as 15%; The midterm will count as 20%; and the final exam will count as 50%.

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. One lowest quiz score will be dropped and the remaining quiz scores will be averaged and contributed to the course grade. 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 at Friday's lecture or the 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 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 return boxes by your paper marker. Please find your return box and pick up your homeworks promptly. Poor attendance may alter this policy; see "Attendance" below.

Exam: 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. UO has specified the final exam time for this course. There is no way to change it and there is no make-up exams.

Attendance: Attendance is mandatory. Your attendance will be checked randomly. 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.

Tentative Syllabus
(Updated on Dec 28, 2004)

Date Content Covered Sections Covered
Homework Numbers and Question Numbers (QNS)
(Note: Homework QNS are changed very often)

1/3M Sampling dist. of sample proportion,
pre-req-exam 7.6;

1/5W Large sample estimation,
point estimation 8.1; 8.2; 8.3; 8.4

1/7F Interval estimation 8.5 There is no homework this week. Review Chapter 4, Binormial , Poisson, normal distributions, and central limit theorem.

1/10M Application examples of
interval estimation 8.5

1/12W Estimating difference of two
population means 8.6

1/14F Estimating difference of two
binomial proportions 8.7 The following homework is due at 1/14 Friday's lecture.
#(1) 7.29; 7.30; 7.33; 7.34; 7.46; 7.50; 7.56

1/17M Martin Luther King Holiday
No Class

1/19W Chosing the sample size 8.9

1/21F Quiz #1
The following homework is due at 1/21 Friday's lecture.
#(2)8 8.11; 8.12; 8.13; 8.14; 8.15; 8.17; 8.24; 8.28;
8.31; 8.32; 8.33; 8.34

1/24M Test of hypothesis 9.1; 9.2;

1/26W Large sample test of
population mean 9.3

1/28F Application examples of
test of population mean 9.3 The following homework is due at 1/28 Friday's lecture.
#(3) 8.38; 8.39; 8.40; 8.41; 8.42; 8.43; 8.47; 8.48;
8.49; 8.50; 8.52;

1/31M Test of hypothesis of
difference of two population means 9.4

2/2W Test of hypothesis for a
binomial proportion 9.5

2/4F Test of hypothesis of difference
between two binomial proportions 9.6 The following homework is due at 2/4 Friday's lecture.
#(4) 8.57; 8.61; 8.62;8.63; 8.66;8.67; 9.4; 9.5;9.8;9.7;
9.9; 9.10; 9.12;

2/7M Quiz #2 Inference from small samples
t-distribution 10.1;10.2

2/9W Small sample inference for
a population mean 10.3

2/11F Small sample inference for
difference of two population means 10.4 The following homework is due at 2/11 Friday's lecture.
#(5) 9.13; 9.17;9.18;9.19; 9.21; 9.22; 9.23; 9.24; 9.27;
9.28; 9.29

2/14M The analysis of variance 11.1; 11.2;11.3

2/16W Midterm Exam

2/18F One-way classification, ANOVA
for a complete random design 11.4; The following homework is due at 2/18 Friday's lecture.
#(6) 9.37; 9.38; 9.39; 9.40; 10.6; 10.8;10.9; 10.10;
10.11; 10.13;

2/21M Testing the equality of the treatment
means,CI for treatment means 11.4

2/23W k sample data 14.5

2/25F Quiz #3
The following homework is due at 2/25 Friday's lecture.
#(7) 10.16; 10.17; 10.18; 10.19; 10.20; 10.22;
10.23(a)(b); 10.24(a)(b)

2/28M application examples of k sample data 11.5

3/2W Contingency tables 14.1-14.3

3/4F application examples of
contingency table 14.4 The following homework is due at 3/4 Friday's lecture.
#(8) 11.3; 11.6; 11.7; 11.8; 11.10; 11.11; 11.12;
11.13; 11.14;

3/7M Exam part A

3/9W Exam part A

3/11F Review Quizzes and MT

The following homework is due at 3/11 Friday's lecture.
#(9)11.4,11.5,11.9,11.15,11.16

Office Hours after March 11th: 9:00-10:00am Monday, March 14th, 2005

Final Exam : 10:15am -- 11:15pm Tuesday, March 15, 2005

Date	Content Covered	Sections Covered	Homework Numbers and Question Numbers (QNS) (Note: Homework QNS are changed very often)
1/3M	Sampling dist. of sample proportion, pre-req-exam	7.6;
1/5W	Large sample estimation, point estimation	8.1; 8.2; 8.3; 8.4
1/7F	Interval estimation	8.5	There is no homework this week. Review Chapter 4, Binormial , Poisson, normal distributions, and central limit theorem.
1/10M	Application examples of interval estimation	8.5
1/12W	Estimating difference of two population means	8.6
1/14F	Estimating difference of two binomial proportions	8.7	The following homework is due at 1/14 Friday's lecture. #(1) 7.29; 7.30; 7.33; 7.34; 7.46; 7.50; 7.56
1/17M	Martin Luther King Holiday No Class
1/19W	Chosing the sample size	8.9
1/21F	Quiz #1		The following homework is due at 1/21 Friday's lecture. #(2)8 8.11; 8.12; 8.13; 8.14; 8.15; 8.17; 8.24; 8.28; 8.31; 8.32; 8.33; 8.34
1/24M	Test of hypothesis	9.1; 9.2;
1/26W	Large sample test of population mean	9.3
1/28F	Application examples of test of population mean	9.3	The following homework is due at 1/28 Friday's lecture. #(3) 8.38; 8.39; 8.40; 8.41; 8.42; 8.43; 8.47; 8.48; 8.49; 8.50; 8.52;
1/31M	Test of hypothesis of difference of two population means	9.4
2/2W	Test of hypothesis for a binomial proportion	9.5
2/4F	Test of hypothesis of difference between two binomial proportions	9.6	The following homework is due at 2/4 Friday's lecture. #(4) 8.57; 8.61; 8.62;8.63; 8.66;8.67; 9.4; 9.5;9.8;9.7; 9.9; 9.10; 9.12;
2/7M	Quiz #2 Inference from small samples t-distribution	10.1;10.2
2/9W	Small sample inference for a population mean	10.3
2/11F	Small sample inference for difference of two population means	10.4	The following homework is due at 2/11 Friday's lecture. #(5) 9.13; 9.17;9.18;9.19; 9.21; 9.22; 9.23; 9.24; 9.27; 9.28; 9.29
2/14M	The analysis of variance	11.1; 11.2;11.3
2/16W	Midterm Exam
2/18F	One-way classification, ANOVA for a complete random design	11.4;	The following homework is due at 2/18 Friday's lecture. #(6) 9.37; 9.38; 9.39; 9.40; 10.6; 10.8;10.9; 10.10; 10.11; 10.13;
2/21M	Testing the equality of the treatment means,CI for treatment means	11.4
2/23W	k sample data	14.5
2/25F	Quiz #3		The following homework is due at 2/25 Friday's lecture. #(7) 10.16; 10.17; 10.18; 10.19; 10.20; 10.22; 10.23(a)(b); 10.24(a)(b)
2/28M	application examples of k sample data	11.5
3/2W	Contingency tables	14.1-14.3
3/4F	application examples of contingency table	14.4	The following homework is due at 3/4 Friday's lecture. #(8) 11.3; 11.6; 11.7; 11.8; 11.10; 11.11; 11.12; 11.13; 11.14;
3/7M	Exam part A
3/9W	Exam part A
3/11F	Review Quizzes and MT		The following homework is due at 3/11 Friday's lecture. #(9)11.4,11.5,11.9,11.15,11.16

Office Hours after March 11th: 9:00-10:00am Monday, March 14th, 2005
Final Exam : 10:15am -- 11:15pm Tuesday, March 15, 2005


Solutions and Notes

Back to Hao Wang's home page