Yuhong Yang
376 Ford Hall
Email: yyang@stat.umn.edu; Phone: 612-626-8337
MTTh 10:00-11:00
Zi Guan
Email: zy@stat.umn.edu
Office hour: Wed. 3:30-4:30, F 12:15-1:15, 352 Ford Hall
http://www.stat.umn.edu/~yyang/courses/3021page.html
Probability and Statistics for Engineers and Scientists by Walpole, Myers, Myers, Ye, 8th edition, Prentice Hall.
This course will start with an introduction of probability, including interpretations of probability, axioms of probability, and the use of counting methods for solving probability problems, conditional probability, Bayes theorem, independence, random variables and distributions, expected values, the binomial, Poisson, normal and other distributions, the law of large numbers, and the central limit theorem. Then we will cover applications of the above to the theory of statistical inference, including estimation, confidence intervals, and hypothesis tests.
Two midterm exams: 45%; Homework: 10%; Final Exam: 45%
Homework will be assigned on a weekly basis and it is due on Mondays in class. No late homework will be accepted without official excuse. Only part of the assigned problems will be graded, but solutions for all the problems will be provided. It is fine for students to work together on homework problems, but write-up of the solutions must be done independently.
Students are expected to attend all the lectures and arrive on time.
Midterm 1, Wed, Feb 27, 2008
Midterm 2, Wed, April 9, 2008
Final Exam, M 4:40pm-6:40pm, May 12, 2008
Make-up exams will not be arranged without compelling reasons such as emergency medical conditions and family emergencies (proper documents must be submitted). If an exam date above overlaps with another exam you have or you have three final exams in a 16 hour period, you need to inform the instructor and resolve this by the first 3 weeks of class. In the exams, you may use standard calculators that do not have external memory drives or data ports.
University and department policy is that ``I'' grades are used only when there is a small amount of unfinished work that the student can complete on his or her own before the end of the following semester, when there was a legitimate excuse why the work could not be done on time, and when arrangements have been made with the instructor as to when the work will be done. ``I'' grades are not given when there is a large amount of work undone and the student would need to attend the class in the next semester to learn the material.
This publication/material, and all other handouts in Statistics 3021, is available in alternative formats upon request. Please contact Mary, School of Statistics, 313 Ford, 625-7300.
Academic integrity is essential to a positive teaching and learning environment. All students enrolled in University courses are expected to complete coursework responsibilities with fairness and honesty. Failure to do so by seeking unfair advantage over others or misrepresenting someone else's work as your own, can result in disciplinary action. Within this course, a student responsible for scholastic dishonesty can be assigned a penalty up to and including an "F" or "N" for the course. If you have any questions regarding the expectations for a specific assignment or exam, please ask.