## 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.

## Unit 10: Decision Analysis

### Class Notes

Slides Printer Friendly

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

### Exercises

Worksheet
Completed Excel Sheet

## Unit 9: Simulation and Queueing Models

### Class Notes

Slides

HH Chapter 12, pp 488-508

### Exercises

Notes and Exercises
Completed Excel Sheet

## Unit 8: Transportation & Assignment Models

### Class Notes

Slides

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

• HH Chapter 2

### Exercises

Notes and Exercises

R tutorials:

## Unit 5: Analysis of Variance (ANOVA)

### Class Notes

One-way ANOVA:

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:

## Unit 4: Dummy Variables and Logistic Regression

### Class Notes

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

Datasets:

## Unit 3: Estimating Relationships / Intro to Regression

### Class Notes

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:

Datasets:

## Unit 2: Univariate/Bivariate Statistics

### Class Notes

Textbook:
• Comparing Means: FMF, Chapter 9, pages 368-397
R tutorials:

Datasets:

## Unit 1: Introduction to Statistics

### Class Notes

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

## 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.