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
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?
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.
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
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.
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.
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.
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.
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
Copyright © 2005, SAS Institute Inc. All rights reserved. 10 Materials Available These demonstrations are available from the JMP Web site: > Downloads > JSL Workshop Scriptswww.jmp.com training/concepts_workshop/ Two volumes are currently available. Course notes (book of instructions, lessons) JMP files (sample data, scripts)
Copyright © 2005, SAS Institute Inc. All rights reserved. 11 Contact Information Mark Bailey Statistical Training & Technical Services SAS Institute Inc. (856)
Copyright © 2005, SAS Institute Inc. All rights reserved. 12 Copyright © 2005, SAS Institute Inc. All rights reserved. 12