Instructor

James Murray, Ph.D.

  403T Wimberly Hall
  608-785-5140
    608-406-4068
  jmurray@uwlax.edu

Office Hours Appointments

Office hours appointments are available with only a one-hour notice, and are generally available at the following times:

  • 8:30 AM - 10:30 AM Monday, Wednesday, Friday
  • 1:30 PM - 2:30 PM Monday and Wednesday
  • 2:30 PM - 4:00 PM Tuesday and Thursday
  Make office hours appointment

Project

Annotated Bibliography due Wednesday November 2, 2016.

Exam

Unit 10: Decision Analysis

Class Notes

Slides Printer Friendly

Reading

HH Chapter 9: pp 322-330, 340-344

Unit 9: Simulation and Queueing Models

Class Notes

Slides

Reading

HH Chapter 12, pp 488-508

Unit 8: Transportation & Assignment Models

Class Notes

Slides

Reading

HH Chapter 3, pp 95-103

Exercises

Notes and Exercises
Homework: HH Chap 3 pages 112-113, problems 3.28 and 3.34

Unit 7: Linear Programming

Class Notes

Reading

  • HH Chapter 2

Unit 6: Repeated Measures Analysis of Variance (ANOVA)

Unit 5: Analysis of Variance (ANOVA)

Class Notes

One-way ANOVA:

Reading

Textbook:
  • One-way ANOVA: FMF, Chapter 10, pp 399-414, 447-449
  • Multiway ANOVA: FMF, Chapter 12, pp 501-511, 520-530
  • Kruskal Wallis test: FMF, Chapter 15, pp 674-686
R tutorials:

Exercises

Unit 4: Dummy Variables and Logistic Regression

Reading

Textbook:
  • FMF, Chapter 8, pages 312-315, 329-341
R tutorials:

Unit 3: Estimating Relationships / Intro to Regression

Reading

Textbook:
  • Correlation: FMF, Chapter 6, pages 205-212 (focus on intuition, not math); 219-225
  • Chi-square test of independence, Chapter 18, pages 815-816(top)
  • Bivariate regression: FMF, Chapter 7, pages 245-253, 256-260
  • Multiple regression: FMF, Chapter 7, pages 261-263(top), 276-284
  • Regression assumptions: FMF, Chapter 7, pages 271-273(top)
R tutorials:

Unit 2: Univariate/Bivariate Statistics

Unit 1: Introduction to Statistics

Reading

  • Intro to statistics: FMF Chapter 2
  • R environment: FMF Chapter 3

Exercises/Resources

R Resources

Installing R

  • Rstudio is a great Integrated Development Environment (IDE). This is the graphical user interface that you use to interact with R, which is actually a separate software package than the R computing package.
  • R is a language and environment for statistical computing and graphics. You can learn more about it and when you are ready, download R to install to your Windows, Linux, or Mac computer.

Online Tutorial