Introduction to Statistics (for graduate students in linguistics)

Instructor: John Nerbonne (course under development, always)
LOT Winter School 2009
Click on the lecture (etc.) title to see more.

Announcements

• 23 jan 2009 Lectures/discussions in Academy Building, Room 2. Labs will be in the Harmonie Building, Section 12, Room 119. We'll move over to the lab at about 17:30 each day.
• Computer Accounts. Please note that you must have a computer account to participate in the lab. These should be available via the LOT registration.
• Worked out examples from book Link to a site where examples from the book are worked out in detail. Not required, but perhaps useful.

Course Materials

1. Description & Schedule
   
2. Sheets for Lectures
   
   1. Descriptive Concepts
      
   2. Sampling, z-Tests, Confidence Intervals
   3. T-Tests
      
   4. ANOVA
      
   5. Mann-Whitney, Wilcoxon & Sign Tests
      
   6. Nominal Data
      • Comparing Proportions
        
      • Chi-Square
        
   7. Choice of Tests.
      • Which Test to Apply?
        
      • A Decision Tree
        
3. Pencil and Paper Assignments
   
   1. Interpreting Scores (standard normal)
   2. Sample Statistics
4. Some calculator exercises (Tamás Bíró) These are meant in particular for students seeking more confidence in the basics, including the basic math.
5. SPSS Assignments
   The lab assignments originated with me (JN), but Wilbert Heeringa added a lot (ca. 2000-2002). Mik van Es revised them, adding questions to link the labs to the theoretical material better (2008). Tamás Bíró took a further pass, also making substantial improvements.
   • SPSS Assignments
     
6. Extra Material (in English). This site traces the different examples in the Moore and McCabe textbook through with various calculations and graphics. Helps in understanding the material.