Stat 705, Spring 2015

STAT 705: Data Analysis II, Spring 2015


Instructor: Tim Hanson. E-mail: hansont@stat.sc.edu.
Office Hours: Tuesday/Thursday 10-11am, and by appointment.
Office: 219C LeConte College, (803) 777-3859.
Class Meeting Time: Tuesday/Thursday 11:40am-12:55pm in Leconte College 201A.
Textbook: Applied Linear Statistical Models (5th edition) by Kutner, Nachtsheim, Neter, and Li.

Lecture schedule and notes

  • Tues., Jan. 13: Chapter 16, one-way ANOVA. Lecture notes. Prof. Hitchcock's STAT 705 page with R examples.
  • Thur., Jan. 15: Chapters 16 & 17, inference & multiple comparisons. Lecture notes.
  • Tues., Jan. 20: Chapter 17 continued. Homework 1 due Jan. 27.
  • Thur., Jan. 22: Chapter 18, diagnostics and remedial measures for one-way ANOVA. Lecture notes.
  • Tues., Jan. 27: Chapter 19, two-way ANOVA. Lecture notes.
  • Thur., Jan. 29: Chapter 19, continued.
  • Tues., Feb. 3: Chapter 19 finished. Homework 2 due Feb. 10. Some brief notes on experimental design.
  • Thur., Feb. 5: Chapters 20 & 21: randomized complete block designs. Lecture notes.
  • Tues., Feb. 10: Chapter 22, ANCOVA. Lecture notes. Homework 3, due Feb. 19.
  • Thur., Feb. 12: Chapter 23, unbalanced two-factor studies; and Chapter 24, three-way ANOVA. Lecture notes.
  • Tues., Feb. 17: Chapter 23, finished. Homework 4, due Feb. 26.
  • Thur., Feb. 19: Chapters 25 and 27, simple random effects and mixed effects models. Lecture notes.
  • Tues., Feb. 24: Chapter 27, repeated measures within one factor. Lecture notes.
  • Thur., Feb. 26: Repeated measures, continued. Latin squares, sample size considerations. Lecture notes. Homework 5 (due Mar. 5) and insulin data.
  • Tues., Mar. 3: Contingency tables. Lecture notes. Gesell example R code.
  • Thur., Mar. 5: Review for Exam I.
  • Tues., Mar. 10: Spring break! No class.
  • Tues., Mar. 12: Spring break! No class.
  • Tues., Mar. 17: Exam I and data.
  • Thur., Mar. 19: Contingency tables continued.
  • Tues., Mar. 24: Contingency tables finished. Homework 6 due Tuesday, March 31.
  • Thur., Mar. 26: Logistic regression. Lecture notes.
  • Tues., Mar. 31: Logistic regression, continued.
  • Thur., Apr. 2: Logistic regression finished.
  • Tues., Apr. 7: Poisson regression. Lecture notes. Homework 7, due April 14, and SAS code.
  • Thur., Apr. 9: Generalized linear mixed models. Lecture notes.
  • Tues., Apr. 14: Nonlinear models for continuous response. Lecture notes.
  • Thur., Apr. 16: Nonlinear models finished. Homework 8 due April 21.
  • Tues., Apr. 21: Generalized additive models. Basis expansions.
  • Thur., Apr. 23: Exam II. Here is the exam. Turn in in to my office by 1:30 PM (hard deadline).

    Review Material

    You should be acquainted with elementary probability, including discrete and continuous random variables, sampling distributions, point and interval estimation, and hypothesis testing. If you need to review, there are many sets of notes online, for example these excellent notes from Dr. Tebbs.