Copyright © 2005, SAS Institute Inc. All rights reserved. Interactive Demonstrations of Statistical Concepts Using JMP TM Mark Bailey Statistical Services.

Slides:



Advertisements
Similar presentations
Copyright © 2008, SAS Institute Inc. All rights reserved. Discovering Meaningful Patterns in Genomics Data with JMP Genomics Jordan Hiller JMP Genomics.
Advertisements

Introduction to S-Plus by Francesco Ferretti Analysis of Biological Data Course Winter term 2007 Dalhousie University.
CP411 Computer Graphics, Wilfrid Laurier University Introduction # 1 Welcome to CP411 Computer Graphics 2012 Instructor: Dr. Hongbing Fan Introduction.
Copyright © 2010 SAS Institute Inc. All rights reserved. A Quick Introduction to JMP Dara Hammond JMP Account Rep.
Copyright © 2013, SAS Institute Inc. All rights reserved. LEVERAGE THE CDISC DATA MODEL TO STREAMLINE ANALYTICAL WORKFLOWS KELCI J. MICLAUS, PH.D. RESEARCH.
Copyright © 2005, SAS Institute Inc. All rights reserved. Creating Dashboards with the SAS ® Information Delivery Portal Don Chapman Development Manager.
Chapter 10: Sampling and Sampling Distributions
Ann Arbor ASA ‘Up and Running’ Series: SPSS Prepared by volunteers of the Ann Arbor Chapter of the American Statistical Association, in cooperation with.
Log-linear modeling and missing data A short course Frans Willekens Boulder, July
Using SPSS to Report NSSE Data: Transform Your Analyses and Save Time with SPSS Regional NSSE User’s Workshop October 2006 Rick Shoup, Research Analyst.
EDTE 373A-Fall 2007 Dr. Mark Rodriguez9/  Introductions  Lesson Planning  TaskStream  Eportfolio.
SUN-AI Review by Anastas Misev Institute of Informatics Faculty of Natural Sciences and Mathematics University “Ss Cyril and Methodius” Skopje, Macedonia.
Introduction to R A. Di Bucchianico. Introduction to R2 Types of statistical software command-line software –requires knowledge of syntax of commands.
WSN Simulation Template for OMNeT++
Project Update: Law Enforcement Resource Allocation (LERA) Visualization System Michael Welsman-Dinelle April Webster.
Chapter 5. Operations on Multiple R. V.'s 1 Chapter 5. Operations on Multiple Random Variables 0. Introduction 1. Expected Value of a Function of Random.
Introduction to SPSS Short Courses Last created (Feb, 2008) Kentaka Aruga.
Web-based Portal for Discovery, Retrieval and Visualization of Earth Science Datasets in Grid Environment Zhenping (Jane) Liu.
P INNOVATION IN TEACHING AND LEARNING IN HIGHER EDUCATION WITH 3D VIRTUAL TECHNOLOGIES Fernando Maciel Barbosa M. Travassos Valdez 1, C. Machado.
1. An Overview of the Data Analysis and Probability Standard for School Mathematics? 2.
Statistical Discovery. TM From SAS. JMP ® Software: Introduction to Categorical Data Analysis.
 2004 Prentice Hall, Inc. All rights reserved. Chapter 7 - JavaScript: Introduction to Scripting Outline 7.1 Introduction 7.2 Simple Program: Printing.
Copyright © 2014, SAS Institute Inc. All rights reserved. ACCESSIBLE ANALYTICS USING SAS ED SUMMERS SENIOR MANAGER OF ACCESSIBILITY.
Maximizing the Power of Microsoft ® Project and Microsoft ® Word Dr. John A. Estrella, CMC, PMP Presented to MPA Greater Toronto Area 20 February 2008.
Zhonghua Qu and Ovidiu Daescu December 24, 2009 University of Texas at Dallas.
Copyright © 2006 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill Technology Education Introductory Lecture Advanced Computer Programming.
Institute for Statistics and Econometrics Economics Department Humboldt University of Berlin Spandauer Straße Berlin Germany CONNECTED TEACHING.
JavaScript: Functions © by Pearson Education, Inc. All Rights Reserved.
Chapter 1 Introduction to SAS ® Enterprise Guide ®
Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved Section 10-5 Multiple Regression.
Contents 1.Introduction, architecture 2.Live demonstration 3.Extensibility.
Copyright © 2006, SAS Institute Inc. All rights reserved. SAS Enterprise Guide Old Proc – New Tricks? Tim Trussell Academic Program, SAS Canada world diabetes.
Institute for Visualization and Perception Research 1 © Copyright 2000 Haim Levkowitz Introduction (Foley & Van Dam Ch 1) Uses of computer graphics … Some.
1 Introduction to Computer Graphics SEN Introduction to OpenGL Graphics Applications.
Computer Graphics I, Fall 2008 Introduction to Computer Graphics.
Copyright © 2008, SAS Institute Inc. All rights reserved. Interactive Analysis and Data Visualization Using JMP −Dara Hammond, Federal Systems Engineer.
WRITING REPORTS Introduction Section 0 Lecture 1 Slide 1 Lecture 6 Slide 1 INTRODUCTION TO Modern Physics PHYX 2710 Fall 2004 Intermediate 3870 Fall 2015.
View_hdf Kam-Pui Lee Science Applications International Corporation CERES Data Management Team Linda Hunt Computer Sciences Corporation Atmospheric Sciences.
Using JMP Scripts in Introductory Statistics* Amy G. Froelich Iowa State University William M. Duckworth Creighton University Concepts from Introductory.
1 1 Chapter 3: Graphical Data Exploration 3.1 Exploring Relationships with a Continuous Y Variable 3.2 Exploring Relationships with a Categorical Y Variable.
BOĞAZİÇİ UNIVERSITY DEPARTMENT OF MANAGEMENT INFORMATION SYSTEMS MATLAB AS A DATA MINING ENVIRONMENT.
Data Science and Big Data Analytics Chap 3: Data Analytics Using R
Copyright © 2010, SAS Institute Inc. All rights reserved. SAS ® Using the SAS Grid.
1 Chapter 3: Graphical Data Exploration 3.1 Exploring Relationships Between Continuous Columns 3.2 Examining Relationships Between Categorical Columns.
Copyright © 2010 Pearson Addison-Wesley. All rights reserved. Chapter 9 One- and Two-Sample Estimation Problems.
1-1 Copyright © 2014, 2011, and 2008 Pearson Education, Inc.
INTRODUCTION TO HTML5 New HTML5 User Interface and Attributes.
 2003 Prentice Hall, Inc. All rights reserved. Chapter 7 - JavaScript: Introduction to Scripting Outline 7.1 Introduction 7.2 Simple Program: Printing.
Beginning Statistics Table of Contents HAWKES LEARNING SYSTEMS math courseware specialists Copyright © 2008 by Hawkes Learning Systems/Quant Systems, Inc.
1 FREE SAS SOFTWARE. 2 FREE SOFTWARE Free SAS ® software. SAS STUDIO; An interactive, online community. Superior training and documentation. And the analytical.
Copyright © 2005, SAS Institute Inc. All rights reserved. Statistical Discovery. TM From SAS. 1 Minimum Potential Energy Designs Bradley Jones & Christopher.
C - IT Acumens. COMIT Acumens. COM. To demonstrate the use of Neural Networks in the field of Character and Pattern Recognition by simulating a neural.
With the support of the LPP programme of the European Union 1 This project has been funded with support from the European Commission. This publication.
Introduction to Data Manipulation, Analysis, and Visualization with R Patrick Grof-Tisza.
Building Dashboards with JMP 13 Dan Schikore SAS, JMP
Chapter 8 Fundamental Sampling Distributions and Data Descriptions.
Analyzing Federal Reserve Board Interest Rate Yield Curve Data With JMP® Matthew Flynn, PhD, Data Science - Head of Machine Learning.
Experiences with and Recommendations for using R for Statistics/Analytics Instruction Abstract:  R was the top software in the 2016 KDnuggets Software.
By Dr. Madhukar H. Dalvi Nagindas Khandwala college
Linear Mixed Models in JMP Pro
From: What do we perceive in a glance of a real-world scene?
Understanding Standards Statistics (Advanced Higher)
DEPARTMENT OF COMPUTER SCIENCE
CERES Data Management Team Science Data Processing Workshop 2002
Instructional Design for Distance Education
Text Mining with JMP Pro 13: A Case Study
Analytics: Its More than Just Modeling
Modern JavaScript Develop And Design
Presentation transcript:

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