## Instructor

### James Murray, Ph.D.

403T Wimberly Hall608-785-5140

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

## Project

## Exam

Datasets: teacherratings.csv, cps.csv, cex.csv

## Unit 10: Decision Analysis

### Class Notes

### Reading

### Exercises

Completed Excel Sheet

## Unit 9: Simulation and Queueing Models

### Class Notes

### Reading

### Exercises

Completed Excel Sheet

## Unit 8: Transportation & Assignment Models

### Class Notes

### Reading

### Exercises

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

## Unit 7: Linear Programming

## Unit 6: Repeated Measures Analysis of Variance (ANOVA)

### Class Notes

### Reading

**R tutorials:**

### Exercises

## Unit 5: Analysis of Variance (ANOVA)

### Class Notes

### 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

### Class Notes

### Reading

**Textbook:**

- FMF, Chapter 8, pages 312-315, 329-341

**R tutorials:**

### Exercises

- In-class Exercise: Logistic Regression
- Homework: Logistic Regression
**Due Wed, Oct 12 by 5:30 PM**

**Datasets:**

## Unit 3: Estimating Relationships / Intro to Regression

### Class Notes

### 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:**

### Exercises

- In-class Exercise: Regression Analysis
- Homework: Regression Analysis
**Due Wed, Oct 5 by 5:30 PM**

**Datasets:**

## Unit 2: Univariate/Bivariate Statistics

### Class Notes

### Reading

**Textbook:**

- Comparing Means: FMF, Chapter 9, pages 368-397

**R tutorials:**

### Exercises

- In-class Exercise: Bivariate Statistics
- Homework: Bivariate Statistics
**Due Wed, Sept 21 by 5:30 PM**

**Datasets:**

## Unit 1: Introduction to Statistics

### Class Notes

### Reading

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

### Exercises/Resources

- Online tutorial for first-time R user: https://tryr.codeschool.com/

## 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.

### Resources

### Online Tutorial

- Online tutorial for first-time R user: https://tryr.codeschool.com/