STAT 4620

Data Analysis

Lec 01 selected

A variety of statistical models which are useful for the analysis of real data are discussed. Topics include: generalized linear models, such as logistic regression and Poisson regression, models for multidimensional contingency tables, ordered categories and survival data.

Sections

Lecture

From the syllabus

From the Winter 2024 syllabus by Joanna Mills Flemming. Open the PDF

Grading

15%Reading responses (5)
40%Assignments (4)
0%Project proposal5-minute presentation
0%Project presentation10-minute presentation
15%Final exam80 minutes
30%Project reportAbout 5,000 words

Textbooks

  • Generalized Additive Models: An Introduction with R, Second Edition, Simon N. Wood (optional)
  • Core Statistics, Simon N. Wood (optional)

Course rules

Late or missed work
Missed requirements receive zero; no make-up opportunities are available.
Group projects
Each member submits an individual reflection and evaluates group members' contributions.
Group presentations
All group members must be present and involved.
Assignments
Students may collaborate but must submit assignments individually and reference answers appropriately.
Annotations
Annotations must be completed independently.

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