Class Times, Days, and Place: 8:00-8:50 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:8:50-9:30am, W:8:50-9:30am and F:8:50-9:30am
(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/425_FALL2002/425.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 20 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 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 return boxes by your grader. 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. 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.
Tentative Syllabus
(Updated on Oct 22, 2002)
| Date | Content Covered | Sections Covered |
Homework Numbers and Question Numbers (QNS) (Note: Homework QNS are changed very often ) |
|---|---|---|---|
| 9/30M | Data Analysis, population, sample,
relative frequency histogram, and minitab, pre-req-exam |
1.1; 1.5 | |
| 10/2W | sample mean, sample variance,
data range, Tchebysheff's theorem |
2.1; 2.2; 2.3; 2.4 | |
| 10/4F | minitab | #(1) 1.15(a,b,c,d); 2.10; 2.14; 2.18; 2.27 | |
| 10/7M | Events, sample space,
simple event, calculating event probabilities, and counting rules |
4.1; 4.2; 4.3 | |
| 10/9W | mn rule, permutation counting rule;
combination counting rule |
4.4 | |
| 10/11F | counting rules and
application examples |
4.4 | #(2) 4.1; 4.2; 4.5; 4.7; 4.26; 4.27; 4.31; 4.34; 4.35; 4.36; |
| 10/14M | Event relations, complement,
conditional probability |
4.5 | |
| 10/16W | independence,
multiplicative rule |
4.6 | |
| 10/18F | total probability formula
Bayes' rule |
4.7 | #(3) 4.40; 4.41; 4.52; 4.53; 4.56; 4.58; 4.61; 4.105; 4.109 |
| 10/21M | Quiz #1 | ||
| 10/23W | Bayes' rule and application
examples |
4.7 | |
| 10/25F | conditional prob. formulae and
application examples |
#(4)4.60; 4.63; 4.64; 4.65; 4.66; 4.68; 4.69
4.70; |
|
| 10/28M | Discrete random variable
and their probability distribution |
4.8 | |
| 10/30W | Binomial distribution | 5.1; 5.2 | |
| 11/1F | application examples of Binomial
distribution |
#(5) 4.73; 4.74; 4.79; 4.82; 4.83; 4.85; 4.86; 4.115; 4.130(a)(b); | |
| 11/4M | Continuous random variables,
Normal distribution |
6.1; 6.2; 6.3 | |
| 11/6W | Find event probabilities of standard
normal distribution by using table |
||
| 11/8F | 6.3 | Quiz #2
#(6)4.104; 5.4; 5.7; 5.19; 5.20; 5.22; 5.23; 6.2; 6.5; 6.6; 6.8; |
|
| 11/11M | Find event probabilities of general
normal distribution by using table |
6.3 | |
| 11/13W | Midterm Review | ||
| 11/15F | Midterm Exam | ||
| 11/18M | Normal approximation to
binomial distribution |
6.4 | |
| 11/20W | Normal approximation to
binomial distribution and applications |
6.4 | |
| 11/22F | Sample distribution,central limit theorem,
sample distribution of the sample mean |
7.3; 7.4; 7.5 | #(7)6.10; 6.11; 6.12; 6.13; 6.16; 6.17; 6.20; 6.21; 6.29; 6.43; 6.44; 6.45; 6.52; 6.61 |
| 11/25M | central limit theorem, sample distribution of the sample mean, and applications | 7.5 | |
| 11/27W | Application of
Sample distribution of sample mean |
7.5 | |
| 11/29F | Thanksgiving Vacation(No Class) | ||
| 12/2M | Sampling distribution
of sample proportion |
7.6 | #(8)6.68; 6.69; 7.14; 7.18; 7.22; 7.23; 7.24;7.25; 7.26 |
| 12/4W | Review and evaluation | ||
| 12/6F | Review | ||
| Office Hours after Dec 6th: Dec 9th, 3:00-5:00pm . Dec 11th, 3:00-5:00pm | |||
Final Exam : 10:15 am Thursday, Dec 12 |
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