Multivariate Statistics

Dr. Dean Wichern

Aim of Course:

After taking this course, participants will be able to analyze multivariate data and interpret the output of statistical software. Multivariate data typically consist of many records, each with readings on two or more variables, with or without an "outcome" variable of interest. Procedures covered in the course include multivariate analysis of variance (MANOVA), principal components, factor analysis and classification.

Who Should Take This Course:

Researchers who work with multivariate data; analysts who need to run software analyses on multivariate data and interpret the output.

For those enrolled in a Program of Advanced Statistical Studies, this is a required or elective course in the following Programs:

• Statistics in Business & Marketing - required
• Data Mining - required
• Statistics for Social Sciences - required
• Biostatistics (epidemiology) - elective
• Biostatistics (controlled trials) - elective
• Statistics for Environmental Science - elective
• Engineering Statistics - elective

Course Program:

The course is structured as follows

The Instructor:

Dr. Dean Wichern is Professor Emeritus of Business Statistics, Texas A&M University. He is the coauthor of Business Forecasting and Applied Multivariate Statistical Analysis, and articles in the Journal of the American Statistical Association, Management Science, Journal of Finance, Biometrika, Technometrics and more.

Organization of the Course:

The course takes place over the internet, at statistics.com. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor. The course is scheduled to take place over 4 weeks, and typically requires 15 hours per week. At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials and work through exercises. Discussion among participants is encouraged. The instructor will provide answers and comments.

Certificates and Grades:

You may be interested only in learning the material presented, and not be concerned with grades or certificates. Or you may be enrolled in a statistics.com Program in Advanced Statistical Studies that requires demonstration of proficiency in the subject, in which case your work will be assessed for purposes of issuing a grade. Or you may require only a "Certificate of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's). As you begin the class, you will be asked to specify your category.

Credit:

This course offers continuing education units (CEU's). For those successfully completing the course (generally this means marks of 50% or better on the homework), 5.0 CEU's and a certificate will be issued by statistics.com, upon request.

Dates:

Feb. 19 - Mar. 19, 2010
Click here to be notified of future course offerings.

Participants gain access to the online materials on the first day of the course, and typically spend about 15 hours per week (at their convenience). You retain full access to course materials, including discussion board, for two weeks after the course closing date.

Level:

advanced

Prerequisite:

The equivalent of Introduction to Statistics 1: Inference for a Single Variable, and Introduction to Statistics 2: Working with Bivariate Data (and, if necessary before these courses, Introduction to Statistics for Beginners or Survey of Statistics for Beginners). Also, the statistics.com courses "Introduction to Statistics 3: ANOVA and Regression," and "Regression Analysis." Some familiarity with matrix algebra is needed, particularly for an understanding of the notation and theory underlying the course.

Course Text:

The course text is Applied Multivariate Statistical Methods, 6th ed., by Johnson and Wichern, published by Prentice Hall/Pearson and it can be ordered directly from the publisher here. Prentice Hall/Pearson offers a 15% discount on this book (and all other statistics titles): enter the code STATSMPS in the Promotion Code field when prompted during checkout and click the Apply Discount button. The 15% off discount will work for customers coming from anywhere in the world, except Canada. The free shipping only applies to orders shipping within the US.

Special note for Canadian customers: If you are located in Canada, you will need to make your order on myPearsonStore.ca site, which don't have the ability to offer discount codes. Try calling your regional Pearson representative. The US website will not let you choose "Canada" as a ship-to country.

Software:

The exercises in this course will require the use of statistical software that can do multivariate analysis (discriminant analysis, MANOVA, principal components, factor analysis). Output in the course material and the text is based on the Minitab and SAS statistical programs as these are the programs the instructor is familiar with. Other software may be used, but you should be prepared to use your program and interpret its output (in comparison with that given in the course) on your own. Click Here for information on obtaining a free (or nominal cost) copy of various software packages for use during the course.

Registration:

Register Online - $469
Register Online (academic) - $369 (you must be affiliated with a college, university or high school)

Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment. Please use this printed registration form, for these and other special orders.

Note: Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date, unless you specify otherwise.

© statistics.com 2004-2009

Privacy Policy | Contact Us