Class Times, Days, and Place: 8:00-8:50 MWF, 208 DEA
Instructor: Hao Wang
Text Book: Introduction to Probability and Statistics
(10th Edition) by W. Mendenhall et al.
Office: 11A Deady Hall
Office Hours: 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_FALL2001/425.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 also count as 20%; The midterm will count as 25%; and the final exam will count as 35%.
Quizzes: During the term, there are five to eight 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: Each homework is due before the next class. Late handing in homework will not be accepted. Four lowest homework scores 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, you can bring a 8.5" by 11" sheet with fomulae 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. Generally there is no make-up exams except for very special reason with certification.
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 Nov 5, 2001)
| Date | Content Covered | Sections Covered |
Homework Numbers and the Question Numbers (QNS) (Note: Homework QNS will be announced at the end of a lecture if there are some changes ) |
|---|---|---|---|
| 9/24 | Data Analysis, population, sample,
relative frequency histogram, and minitab |
1.1; 1.5 | (1) 1.15 |
| 9/26 | sample mean, sample variance,
data range, Tchebysheff's theorem |
2.1; 2.2; 2.3; 2.4 | (2) 2.10; 2.14; 2.18 |
| 9/28 | minitab | (3) 2.25 | |
| 10/1 | Events, sample space,
simple event, calculating event probabilities, and counting rules |
4.1; 4.2; 4.3 | (4) 4.1; 4.2; 4.5 |
| 10/3 | mn rule, permutation counting rule;
combination counting rule |
4.4 | (5) 4.26; 4.27; 4.31 |
| 10/5 | counting rules and
application examples |
4.4 | (6) 4.34; 4.35; 4.36; Quiz #1 |
| 10/8 | Event relations, complement,
conditional probability |
4.5 | |
| 10/10 | independence,
multiplicative rule |
4.6 | (7) 4.40; 4.41; 4.52 |
| 10/12 | total probability formula
Bayes' rule |
4.7 | (8) 4.53; 4.56; 4.57 |
| 10/15 | Bayes' rule and application
examples |
4.7 | (9) 4.73; 4.74; 4.75; Quiz #2 |
| 10/17 | Discrete random variable
and their probability distribution |
4.8 | (10) 4.68; 4.70; 4.117; |
| 10/19 | Binomial distribution | 5.1; 5.2 | (11) 4.79; 4.83; 4.86; |
| 10/22 | Continuous random variables,
Normal distribution |
6.1; 6.2; 6.3 | (12) 5.4; 5.19; 5.24 |
| 10/24 | Find event probabilities of standard
normal distribution by using table |
6.3 | (13) 6.2; 6.5; 6.9 ; |
| 10/26 | Find event probabilities of general
normal distribution by using table |
6.3 | (14) 6.11; 6.17; 6.18 |
| 10/29 | Find event probabilities of general
normal distribution by using table |
6.3 | (15) 6.13; 6.14; 6.19 Quiz #3 |
| 10/31 | Midterm Review | ||
| 10/2 | Midterm Exam | ||
| 11/5 | Normal approximation to
binomial distribution |
6.4 | (16) 6.12; 6.20; (6.16 is canceled due to its difficulty) |
| 11/7 | Normal approximation to
binomial distribution and applications |
6.4 | (17) 6.30; 6.46; 6.47; |
| 11/9 | Sample distribution,central limit theorem,
sample distribution of the sample mean |
7.3; 7.4; 7.5 | (18) 6.48; 6.55; 6.64 |
| 11/12 | central limit theorem, sample distribution of the sample mean, and applications | 7.5 | (19) 6.72; 6.73 |
| 11/14 | Application of
Sample distribution of sample mean |
7.5 | (20) 7.14; 7.19; 7.20 |
| 11/16 | Sampling distribution
of sample proportion |
7.6 | (21) 7.25; 7.26;7.27 |
| 11/19 | Application of sample proportion | 7.6 | (22) 7.31; 7.32; 7.35; 7.36Quiz #4 |
| 11/21 | Statistical inference | 8.1, 8.2 | (23) 7.48; 7.52; 7.56; |
| 11/23 | Thanksgiving Vacation(No Class) | ||
| 11/26 | Types of estimators, point estimation | 8.3, 8.4 | (24) 8.11; 8.12; 8.13 |
| 11/28 | Review, teaching evaluation | ||
| 11/30 | Office hour (8:00am - 12:00pm) for final exam | ||
Final Exam : 10:15 am Monday, Dec 3 |
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