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:

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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

  • Get Your Acrobat Reader Here! Adobe Acrobat
    Author: Calvin L. Williams, Mathematical Sciences-Clemson University, Clemson University
    Last updated: August 24, 2005
    Send Comments to : calvinw@math.clemson.edu