1. Copyright © 2005, SAS Institute Inc. All rights reserved. Interactive Demonstrations of Statistical Concepts Using JMP TM Mark Bailey Statistical Services Specialist Statistical Training & Technical Service

2. Copyright © 2005, SAS Institute Inc. All rights reserved. 2 Introduction  Computing resources of all kinds continue to grow at a phenomenal rate.  Resources are readily available for improving the practice of statistics.  How can these resources improve the instruction of statistics?

3. Copyright © 2005, SAS Institute Inc. All rights reserved. 3 The Answer  Exploit computing technology through JMP™ Interactive by design −Highly responsive interface with progressive layers that reward discovery. No programming required −Manipulate data, analyses, and plots through GUI. Emphasize understanding −Present statistics and data together graphically.

4. Copyright © 2005, SAS Institute Inc. All rights reserved. 4 Going Beyond  JMP Scripting Language enables creation of new applications. Data table and platforms Windows and dialogs Matrix language Graphics language Scene3D (OpenGL) Distribution functions Random number generators

5. Copyright © 2005, SAS Institute Inc. All rights reserved. 5 The Results  Scripted statistical demonstrations. Dynamic content with interactive elements that respond in real time. Compelling visual displays. Reduce or eliminate manual computational burden. Easily obtain samples.

6. Copyright © 2005, SAS Institute Inc. All rights reserved. 6 Presentation Outline  Opportunity for interactive demonstration.  Essential qualities for better demonstration.  Use of JMP as enabling technology for learning laboratory  Highlights from selected scripts.

7. Copyright © 2005, SAS Institute Inc. All rights reserved. 7 Example: 1993 New Car Data  Lock, Robin H. (1993) Journal of Statistics Education, Vol. 1, No. 1.  Data publicly available. Consumer Reports PACE New Car & Truck Buying Guide  Trucks and SUVs excluded.

8. Copyright © 2005, SAS Institute Inc. All rights reserved. 8 Random Numbers  Random samples of data are based on chance effects in random processes.  Random numbers are useful in simulations in place of real data.  JMP provides a library of random number generators for many distributions.

9. Copyright © 2005, SAS Institute Inc. All rights reserved. 9 Demonstrations  Central Limit Theorem  Simple Linear Regression (SLR)  Bootstrap SLR  Box-Cox Transformation  Collinearity  Visualize Logistic Curve (2D, 3D)  Maximum Likelihood Estimation

10. Copyright © 2005, SAS Institute Inc. All rights reserved. 10 Materials Available  These demonstrations are available from the JMP Web site: www.jmp.com > Downloads > JSL Workshop Scriptswww.jmp.com http://www.jmp.com/support/ training/concepts_workshop/  Two volumes are currently available. Course notes (book of instructions, lessons) JMP files (sample data, scripts)

11. Copyright © 2005, SAS Institute Inc. All rights reserved. 11 Contact Information  Mark Bailey Statistical Training & Technical Services SAS Institute Inc. (856) 616-0644 mark.bailey@sas.com

12. Copyright © 2005, SAS Institute Inc. All rights reserved. 12 Copyright © 2005, SAS Institute Inc. All rights reserved. 12