**
**

Spring 2012

MWF 12:20 - 1:10 in Sloan 112

** Textbook:** Samuels, M.L., Whitmer, J.A., & Schaffner, A. (2010).

**
Course Syllabus
Schedule
Please read this addendum to the syllabus throughout the semester and again at the end of the semester.
R Help**

Chapter 1 (Introduction, Evidence, and Sampling)

Chapter 2 (Descriptions of Samples and Populations)

Chapter 3 (Probability and the Binomial Distribution)

Chapter 4 (Normal Distrubtion)

Chapter 5 (Sampling Distribution of Sample Mean and CLT)

Chapter 6 (Confidence Interval for mu)

Intro to Hypothesis Testing

Assumptions and Relationship b/w CI and Hyp Test

Inference for Dependent Samples

Inference for Independent Samples

Sign Test (Non-parametric Inference for Dependent Samples)

Wilcoxon Mann Whitney Test (Non-parametric Inference for Independent Samples

Inference for p,p1-p2, and Chi-Square for Contingency Tables

Goodness of Fit

Relative Risk, Odds Ratio, Case Control Study

Cochran Mantel Haensel, Simpson's Paradox

Intro to ANOVA

Regression and Correlation

Chapter 1 HW
Chapter 1 HW Solutions

Chapter 2 HW
Chapter 2 HW Solutions

Chapter 3 HW
Chapter 3 HW Solutions

Chapters 4 and 5 HW
Chapters 4 and 5 HW Solutions

Inference for mu
Inference for mu Solutions

p, p1-p2, Chi-square Contingency Table
p, p1-p2, Chi-square Contingency Table SOLUTIONS

HW 1 Now Due Wednesday, February 1st by the beginning of lecture

HW 2 Due Wednesday, February 8th by the beginning of lecture

HW 3 Due Friday, March 16th by the beginning of lecture

HW 4 Due Friday, March 16th by the beginning of lecture

HW 5 Due Wednesday, April 4th by the beginning of lecture

HW 6 Due Due Wednesday, April 4th by the beginning of lecture

HW 7 Due Monday, April 9th by the beginning of lecture

Statistics Department Homepage

The views and opinions expressed in this page are strictly those of the page author. The contents of the page have not been reviewed or approved by the University of South Carolina.