STA 442/2101 Applied Statistics - Course Description

• Class will cover various topics of interest for the applied statistician. For undergraduate students, this course is intended to be something like a 'capstone' course that combines statistical material from many different areas in the context of specific applications to data.
  For graduate students in statistics, this course with AS II will form the basis for the PhD comprehensive exam in applied statistics.
  
  
• Prerequisites: ECO327Y/357Y/STA302H.
  
• Textbook: "Statistical Models" by A. Davison. In addition, the course will intensively use the software R which is freely downloadable on the web here .
  
  
• Time of class: Tuesday, 1-4pm in RS 208.
  
• Radu's office hours: Last hour of class will be dedicated to discussions, help with the homework. In addition, every week Friday 4-5pm in SS6010.
  
• TA is Zi Zhen: office hours Monday 4-5 in LM123, email: zizhen@utstat.toronto.edu
• Evaluation will be based on homeworks (20%), a midterm (40%) and a final project (40%). There is no final exam.
  
• Tentative Syllabus: Chapters: 2, 3, 5, 7, 8, 9, 11. Note that it is possible to add to or thin down the list of topics.
• The Midterm Exam is scheduled for November 11, 2008 during class. Material presented until November 4, 2008 (inclusive) is covered by the Midterm.
  Practice problems have been posted (see below).
  DON'T FORGET TO BRING A CALCULATOR!!
  
• Homework 2 has been posted - see below.
  
• Radu's office hours on November 21 are canceled due to a Doctoral thesis defense.
  

Homeworks

• Homework 1 (due back at the beginning of class on October 21, 2008).
  The data sets needed for the homework are:
  • Berkeley Study Data
    
  • The stopping.txt data
    
  • The landrent.txt data
    
• Partial solution to Homework 1
  
• Homework 2 (due back at the beginning of class on November 25, 2008).
  
• Partial solution to Homework 2
  

Final Project

• The final project is here
  
• The data file final-data1.txt contains the data for the first problem.
  

Handouts

• This is an introduction to R that I use in STA 410 but can be useful for those who are just starting to use this software.
  
  
• A program to draw the log-likelihood surface for a simple regression problem is available here . The four plots obtained with various combinations of sample sizes and noise distributions are available here
  
  
• Some examples of regression analyses are here. The data sets are provided below.
  
  
• The first handout on experimental design is here.
  
  
• The practice problems are here.
  
  
• The second handout on experimental design is here.
  
  
• The handout with linear mixed effects models examples in R is here.
  
  
  

Datasets

• The attitude data set is here.
  
• The peas example is here.
  
• The apple shoots data is here.
  
• The geese data is here.
  

Computation pages

• S-plus help page at U of T
  
  
• S-plus help page