Mathematical Sciences 405/605
# Statistical Methods and Probability II

## Instructor: Calvin L. Williams, Ph.D.

## Text: Linear Statistical Models : An Applied Approach by Bowerman and
O'Connell.

## Course Objective

This course is designed to continue with introductory probability
and statistics at an intermediate level. Emphasis is placed on the
understanding of the concepts of techniques in inferential statistics,
data analysis, and regression analysis along with its appropriate application.
This should prepare you for the practical application of regression and
other modeling techniques in more general areas such as engineering, the
sciences, education, and management.
The intent is to cover the prescribed text omitting those sections
that are unneeded with additional information given in the form of handouts and take home projects.
Although there will be no requirement of a specific statistical computing
package, it would be in your best interest to be familiar with a package.
Examples shown in class will be done using Statistix and SAS.
Notes are available for students wishing to use SAS.

## Current Enrollment:

### Class Notes....Updated and Corrected Frequently.

### Syllabus

### Computing Information

#### Useful SAS Code

### Data Sets....Updated and Corrected Frequently. Updated August 24, 2005

### Disclaimer: These data sets are copyrighted and are available for use only
by students in Mathematical Sciences 405/605 Statistical Methods II. Any other use
is forbidden.

### Helpful Statistics Sites

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**Author:**
* Calvin L. Williams,
Mathematical Sciences-Clemson University,
Clemson University*

**Last updated:**
*August 24, 2005*

**Send Comments to :**
*calvinw@math.clemson.edu*