Course Materials
Multivariate Statistics
The materials linked below will be applicable to a multivariate statistics class, covering topics such as PCA, exploratory factor analysis, confirmatory factor analysis, path analysis and SEM, cluster analysis, discriminant analysis, MANOVA and repeated measures.
JMP Books
Textbooks to Supplement Your Instruction
Find textbooks that integrate JMP. Most books may be requested through publisher websites. Contact your publisher representative for more information.
Step-by-Step Guides
Take a Deeper Dive on Select Topics
Provide step-by-step instructions and short videos to help your students learn how to do common statistical and graphical analyses in JMP.
Case Studies
JMP® Case Study Library
Assign real-world problems for class projects or homework. These case studies are complete with background information, tasks, data, exercises, and more.
Recommended books for this course
- Lehman, O’Rourke, Hatcher & Stepanski, JMP for Basic Univariate and Multivariate Statistics: Methods for Researchers and Social Scientists, 2nd edition
Instructors can request free evalution copies of textbooks from many publishers. Contact your publisher representative. For SAS Press books, request free instructor evaluation ebook copies here.
Recommended guides and videos
- Opening JMP and Getting Started
- Graph Builder
- Correlation
- Simple Linear Regression
- Multiple Linear Regression
- Simple Logistic Regression
- Multiple Logistic Regression
- Stepwise Regression
- Classification Trees (Partition)
- Regression Trees (Partition)
- Neural Networks
- Clustering
- Principal Components Analysis
- Factor Analysis
- Discriminant Analysis
- Text Mining - Describing Unstructured Text Data
- Text Mining - Analyzing Unstructured Text Data
- Association Analysis (Market Basket Analysis)
The complete collection of guides and videos can be found at the JMP Learning Library.
If you or your students are new to JMP, this is also a great place to start: JMP Basics
Recommended Case Studies
Case studies are designed to supplement and expand your students experience by providing real and realistic multi-step problem scenarios, accompanied by exercises at the end. These are carefully crafted to use methods that have been introduced up to and including the concepts listed in the summary. Solutions to exercises are available to instructors only by request at this link.
Multiple Regression
Multivariate Logistic Regression
Classification Trees
Predictive Modeling
Conjoint Analysis
In-Depth Webinars
Explore webinars specifically designed for faculty & students
Live and on-demand webinars to expand your JMP knowledge. Topics span basics to advanced.
Enhanced Datasets
Datasets useful for demonstrating statistical techniques and JMP platforms. Complemented with descriptive storylines, exercises, and supplemental materials, these enhanced datasets are designed to engage students in the process of problem solving through statistical analyses.
In addition, JMP comes with over 500 sample data sets included in the software, accessible through the JMP Help menu. Other datasets can be found in the JMP User Community and in JMP Public.
Applets and Add-Ins
Teaching Apps, Stats Calculators, & Extensions of JMP’s Capabilities
JMP’s teaching applets and calculators are ideal for illustrating and interactively exploring core statistical concepts and calculations. Add-ins extend JMP’s capabilities, opening up new possibilities in using JMP for teaching and learning.
Recommended Sample Data
There are many sample data sets to choose from in JMP, from Help > Sample Data (alphabetical list) or Help > Sample Data Library (indexed list by topic). There are many sample data sets to choose from in JMP, from Help > Sample Data (alphabetical list) or Help > Sample Data Library (indexed list by topic). Here are a few suggested examples for a course on Multivariate Analyses.
- Academic Achievement (SEM)
- Body Fat (Correlation Matrix)
- Candy Bars (Cluster, Neural)
- Cheese (Ordinal Logistic, Contingency)
- Cholesterol (MANOVA)
- Cytometry (Clustering)
- Danger (Multivariate)
- Grocery Purchases (Association Market Basket Analysis)
- Job Satisfaction (SEM)
- Online Consumer Data (SEM)
- Political Democracy (SEM)
- Prostate Cancer (Clustering, PLS)
- San Francisco Crime Distances (Multidimensional Scaling)
- Scores (Multivariate)
- Socioeconomic (Factor Analysis)
Recommended Add-Ins
Student Menu: Easily access JMP’s teaching and learning tools via a dedicated menu item. This add-in brings the JMP Student Subscription’s Student menu to JMP and JMP Pro.
Preferences Manager: Create and manage preferences profiles, including creating a file that students can use to automatically set their JMP preferences for your course.
Word Importer: Expand JMP’s data importing capabilities to include text, tables, and images from Microsoft Word docs.
PPT Importer: Expand JMP’s data importing capabilities to include text and tables from Microsoft PowerPoint slides.
Partial Correlation Diagram: Expand JMP’s multivariate statistical capabilities with partial correlation analysis and accompanying interactive visualizations and other options.
Full Course Materials
Course Materials from JMP Education
“JMP course-in-a-box” provides complimentary JMP teaching materials. Includes classroom materials, data sets, slides and more. These are all available for download to qualified instructors.
On-Demand Courses
Self-paced learning available 24/7
Full length on-demand courses from JMP Education cover a variety of topics and include activities, demos and exercises. Short instructor videos can supplement your course materials to create a flipped classroom.
Recommended Course Materials from SAS Education
Materials accompanying JMP Classroom Courses from SAS
Recommended eLearning Courses from SAS Education
Students and Professors can enroll in eLearning courses at no cost with a campus or department annual site license to JMP.
[There is no asynchronous eLearning course for multivariate analysis at this time -- search the eLearning catalog for up-to-date lists of JMP eLearning courses.]
Check the calendar of upcoming Live Web courses, including these topics: