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Statistics 430

STAT 430: Statistical Packages

Prerequisite: STAT 200 or 301

Credit Hours: (3) Two hours lecture; two hours laboratory

Consideration of statistical packages available at Radford University. Topics include accessing the system, editing, describing data sets via summary statistics and graphical displays, testing hypotheses in the normal theory one and two sample cases, simple linear regression and correlation. Both SAS and SPSS are studied.

 

Detailed Description of Content of Course

This course is designed to acquaint students who have had prior statistical training with the statistical packages (analysis software) available here (SAS and SPSS). Topics included are: accessing the system, creating and editing files, describing a data set via summary statistics and graphical displays, testing hypotheses in the normal theory one and two sample cases, simple linear regression and correlation. Other topics will be chosen to fit the interests and statistical level of sophistication of the class.

 

Detailed Description of the Conduct of the Course

The lecture format is used for the introduction to the computer system, creating and editing of files, and use of SAS and SPSS. Numerous data sets are supplied for the student to gain hands-on experience in the computer lab with creating and editing these data files, appropriate statistical analysis of each data set and reporting the results. A major project is the appropriate analysis of a large data set based on instructor supplied questions that are to be answered via SAS or SPSS analysis. This project must be completed by the individual student with consultation with the instructor.

 

Goals and Objectives of the Course

The major objective of the course is to familiarize students with prior statistical training with the two statistical packages (SAS, SPSS software) for computer analysis of research data.

 

Assessment Measures

The student's grade is based on his or her performance on homework assignments (data sets) of computer analysis, participation in class and lab, participation on an in-class midterm and competence of the analysis of the major project (data set).

 

Other Course Information

This course is intended for undergraduates with some statistical training who want to lear how to use the different statistical packages. Also, graduate students with some training who want to use the computer to analyze their research data.

 

Review and Approval
Sept. 2001 Review Stephen Corwin, Chair