Math 425/525: Statistical Methods I
- Time and Place:
8:00-8:50 MWF, 307 Deady Hall
- CRN: 13736 (Math 425), 13742 (Math 525)
- Textbook:
Introduction to the Practice of Statistics
by David S. Moore, George P. McCabe, published by
W.H. Freeman and Company , Third Edition, 1999.
- Reference: Against All Odds: Inside Statistics .
Video Series, Knight Library
- Final Exam:
10:15 - 12:15, Friday, December 10, 307 Deady
- Course Instructor: Qi-Man Shao
- Office: 215M Deady Hall
- Office Hours: 9:00 - 9:50 , 11:00 - 11:50 MWF
- Office Phone: 346-4701
- Email: shao@math.uoregon.edu
- Web URL: http://darkwing.uoregon.edu/~qmshao
The emphasis of the course is on statistical reasoning: interpretation
of and critical thinking about statistical information. The main
concepts will be illustrated by a variety of interesting and important
real world examples. These will include issues under current discussion
in society that have a statistical component, in particular clinical
trials, political polling, and various studies in the social sciences.
Grading Policy
Your course grade is a weighted average of the following
performance scores: homework (15%), quizzes (15%),
midtem exam (30%), and final exam (40%).
Exams
There will be one midterm
during the term.
It is scheduled for
Monday, November 1 .
The final is scheduled for
Friday, December 10 .
All the exams will be in Deady 307. For each exam,
you may bring one "formula sheet," i.e., one 8.5 by 11
sheet of paper with whatever formulas and notes you would find useful.
Quizzes
There will be five or six quizzes.
There will be no make-up quizzes.
Your lowest quiz grade will be dropped.
Homework
Homework is due DAILY at the lectures. No homework will be accepted
late. You may drop FOUR homeworks. If a situation develops in which you
need more than four homeworks dropped, such as a prolonged illness, you
should notify me as soon as possible verbally and in writing. You may
turn in homework early, of course, if you know in advance that you
will have to miss class.
Please do homework on 8.5 by 11 paper, folded once the long way. Put
your name (last name first, please) on the front.
Please pick up your homework in the return box outside Room 303 Deady.
Attendance:
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 (more than 5) without discussing the
matter with me and without a valid excuse, I may refuse to accept
homework from you, late or on time, unless you have attended class.
Videos
There's an excellent set of videos, Against All Odds,
available at Media Services in the Library. The 26 half-hour programs of
this public television series present some fascinating real-world
applications of statistics while at the same time focusing on the
essential features of statistics.
Suggested videos are indicated with the assignments.
They have to be watched at the Media center, and you will need an ID
to check them out. The Media center is open 8:00 a.m. - 10:00 p.m.
Mondays through Thursdays, and 8:00 a.m. - 5:00 p.m. on Fridays.
Tips: There's only one copy of each video, but groups of students can
watch a video at once. Two students can watch a single monitor.
Between 3 and 8 can watch in a small room. Larger rooms are available for
larger groups, but arrangements must be made in advance and would
probably need my intervention. As noted below, there are
two videos on each cassette. If you want to view the second
video, FastForward for 45-50 seconds before pressing Play.
Be considerate of the next viewers: Rewind the cassette.
When you check out the video, if you sign a waiver other
students can join you.
1-2 What is statistics?/Picturing distribution
3-4 Describing distributions/Normal distributions
5-6 Normal calculations/Time series
7-8 Models for growth/Describing relationships
9-10 Correlation/Multidimensional data analysis
11-12 Question of causation/Experimental design
13-14 Blocking and sampling/Samples and surveys
15-16 What is probability?/Random variables
17-18 Binomial distributions/Sample means
19-20 Confidence intervals/Significance tests
21-22 Inference for one mean/Comparing two means
23-24 Inference for proportions/Inference for two proportions
25-26 Inference for relationships/Case study
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