Statistics 4164 - Fall 2007

Statistical Methods III

 

 

Pegasus Logo

Department of Statistics

University of Central Florida

 

Instructor:

Dr. Xiaogang Su

Office

Room 102, CC II

Phone:

(407) 823-2940

Email:

xsu@pegasus.cc.ucf.edu

Office Hour

WR 4:00-5:00pm

Prerequisite

STA 4163 or STA 4165

Website

http://pegasus.cc.ucf.edu/~xsu/CLASS/STA4164/

  Announcements:           

 Description of the Course:       The goal of this course is to continue further study of regression analysis. Topics to be covered include: Simple/Multiple Linear Regression Models (with emphasis on model diagnostics, model selection etc.), ANOVA (including multiple comparisons, ANCOVA), plus an introduction to repeated measure analysis, logistic regression, and poisson regression if time allows.

Statistical Computing:  R, a free version of S/S+, is the primary statistical computing package for this class. It can be downloaded from the website of CRAN. The following webpage contains excellent help information of R, including several useful manuals, and FAQ about R: http://stat.ethz.ch/R-alpha/.  Also, you will need the Acrobat Reader  in order to view pdf files.  

Syllabus and the grading policy:

Range

94+

93-90

89-87

86-83

82-80

79-77

76-73

72-70

69-67

66-63

62-60

59-0

Grade

A

A-

B+

B

B-

C+

C

C-

D+

D

D-

F

The following links will be added as they become available:

 Sample Midterms and Projects

 

 Homework assignments and Class Handouts:

 

Topic

Assignment

Solutions
Class Handouts
R Codes
Data Sets

1

Homework 1

Solution 1

 

 T-TEST.R

 

2

Homework 2

Solution 2

Simple Linear Regression

SLR.R  

3

Homework 3

Solution 3

Multiple Linear Regression (a presentation version)

   Real-Estate.R realestate.dat

4

Homework 4

Solution 4

One-Way ANOVA     Two-Way ANOVA

ANCOVA   Comparing Two Straight Lines

dummy-variables.R  

5

Homework 5

Solution 5

Model Selection

   

6

Homework 6

Solution 6

Multiple Comparisons

   

7

    Model Diagnostics Baseball-1987.R  

 

 Computing Handouts

       The newest version of R (R-2.5.1-win32.exe) can be downloaded from http://cran.r-project.org/

  1. Introduction to R
  2. Probability Distributions and CI for Correlation
  3. Simple Linear Models and the related R program.
  4. Multiple Linear Regression Models. The 1987 baseball salary data are available from the above link.
  5. Model Diagnostics
  6. Box-Cox Transformation
  7. Regression with Dummy Variables
  8. Choosing  the Best Regression Model