This class includes probability and sampling distributions, interval estimation, hypothesis testing, experimental design, and analysis of variance, simple and multiple regression, and chi square tests of independence. It will emphasize computerized statistical analysis.

Professor
Steven Dick, Ph.D. Mass Media Michigan State, M.A. Telecommunication Southern Illinois Carbondale, B.A. Broadcasting Western Kentucky

Office
Monday and Wednesday 9 to 11 AM, and Thursday 9 to 12 and 1 to 2:30. 160 OK Allan Hall – Inside the Center for Child Development. Appointments are available on request.
Email: Dick@ModernMediaBarn.com

Course Prerequisites
MBA 504 or have had the equivalent as part of your undergraduate coursework, i.e., MATH 105, MATH 201, BSAT 205 and BSAT 206.

Course Description
This class is designed to increase the knowledge of various quantitative methods with an emphasis on applications for businesses. Applications of multivariate methods will be introductory in nature with an assumption that you already have a basic understanding of univariate statistics. In addition to the recapture of univariate statistics, this course intends to cover non-parametric methods, factor analysis, multiple regression, logistic regression, MANOVA and maybe cluster analysis using computer statistical packages -- Excel and SPSS.

Student Learning Objectives
1. Introduce different methods of multivariate data analysis.
2. Explain how to match various uni/multivariate techniques with research objectives.
3. Learn to analyze, interpret and present the statistical outputs from both Excel and SPSS.

Required Text
Advanced and Multivariate Statistical Methods, Fred Pyrczak, Pyrczak Publishing, 1884585302
Optional Book:
Making Sense of Statistics, Fred Pyrczak, Pyrczak Publishing, 84585701
This second book is offered as a primer for those needing help with basic concepts.
Other suggestions are available on request.

Software
All students are required to have access to Microsoft Office, and a fully functional web browser/email program. The student will need access to SPSS and Excel.

Class Web
There are significant resources available on my web page. http://www.ModernMediaBarn.com I have provided research resources, online bookstores, class notes, class and paper hints, and links to reach me. The official course schedule and class policies are online. Students are expected to look there for answers.

Grading
Course grades are based on homework assignments, mini papers, class participation, and two tests. The weights are as follows:

Course Grade Basis
Assignments 15%
Mini Papers 30%
Class Participation 10%
Test1 20%
Test2 25%

Homework Assignments
Computer assignments will include conducting the appropriate statistical analysis and writing short reports of those analyses. Short reports should not be more than one page for each assignment and you will need to attach the outputs of your analyses.

Mini Papers
The write-ups should not be more than five pages (not including computer printouts). You are also required to attach the outputs of the analyses with the papers. Overall, a mini should include: 1) the results obtained from applying a multivariate technique; 2) the assumptions and purposes of the technique; 3) a description of the dataset and variables. Each mini must be on a different technique. The data used in mini papers may be collected by an individual or may be existing datasets from reliable sources. Please check with me for approval on using outside data sources.