Statistics 120C – Intro to Probability & Statistics III

 

 

 

 

 

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Discussion:

 

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Description:

 

 

 

 

 

Required Text:

 

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!!!Click here for course announcements!!!

 

Dan Gillen

Assistant Professor

Department of Statistics

Office: 2226 Computer Science III

Telephone: 4-9862

E-mail: dgillen@uci.edu

WebPage: http://www.ics.uci.edu/~dgillen

Office hours:     Tuesday  & Wednesday 10:00-11:00,

                       and by appointment

 

 

Kameryn Denaro

Department of Statistics

E-mail: kdenaro@uci.edu

Office hours:        Monday 12:00-1:00

                          2219 Computer Science III

 

Tuesday and Thursday, 8:00-9:20, Room: ICS 174

 

Wednesday, 9:00-9:50, Room:  SE2 1304

 

Discussion sections will begin during the first week of the quarter.  Discussion section will be run by the teaching assistant and will initially acquaint students with the software used throughout the course then will serve primarily as a question-and-answer section for students (regarding homework, computing, or lecture material).  Case studies not presented in lecture may also be presented in the discussion section.

 

Statistics 120B (Introduction to Statistics II) or equivalent; or permission of instructor

 

This is the third course in a three quarter sequence in probability and statistics.  Topics covered in the third quarter will include analysis of contingency tables, one- and two-way analysis of variance, simple and multiple linear regression, and Bayesian inference. 

 

 

Rice, J.  (1995).  Mathematical Statistics and Data Analysis, 2nd Edition, Duxbury Press..

 

(On reserve in the science library)

 

á       Kutner, M., Nachtsheim, C., Neter, J., and Li, W. (2005)  Applied Linear Statistical Models.  McGraw Hill Irwin.

á       Casella, G. and Berger, R. (2002).  Statistical Inference. Duxbury.

 

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Grading:

Examples that are presented in class are primarily done using the R statistical package, and it is recommended that R be used for homework assignments and exams. R is free software which can be downloaded from the web at http://www.r-project.org/.  R can be installed onto Windows, Mac, or Unix machines. In addition, the student computer lab in CS 364 will have R loaded onto all Windows machines. The website also offers many tutorials regarding the use of R.  If you wish, it is possible to use other commercially available software packages such as Splus, Stata, Matlab, or SAS.

 

There will be a total of 8 homework assignments.  Assignments will typically be due 1 week from the day they are handed out. 

 

  • Homework is due at the beginning of class on the respective due date.
  • The official course policy is that NO LATE HOMEWORK WILL BE ACCEPTED.
  • In cases with extenuating circumstances, your teaching assistant may agree to accept late work.  You should be aware that if the teaching assistant does not agree to accept and grade a late assignment, then you will receive a grade of zero on that assignment.
  • Every effort will be made to return homework and examinations properly.  This quick feedback should help you be aware of any problems in your understanding of the material.

 

 

Tentatively scheduled for Thursday, May 10th.  The exam will cover material presented through the lecture presented on the previous Thursday.

 

The final exam is scheduled for Tuesday, June 12th from 8:00-10:00.  The final exam will be a comprehensive exam that will cover material presented throughout the course.

 

Homework:

35%

Midterm:

30%

Final:

35%

 

Course Links:

 

 

á       Home

á       Syllabus

á       Reading Assignments

á       Course Handouts

á       Introduction to R Handout

á       R website (for obtaining software)

á      Problem Sets

á      Data