JMP for the Six Sigma Professional

Duration: 4.0 days CEU: 2.4

This course covers JMP software's approach to data manipulation and analysis, measurement systems analysis, design of experiments, and statistical process control in direct support of DMAIC breakthrough projects.

Learn how to

import and manipulate data in JMP
use JMP for statistical analysis of data collected for a Six Sigma project
design and analyze an experiment in JMP
create control charts in JMP.

Who should attend

Six Sigma professionals who need to learn JMP

Prerequisites

Before attending this course you should have a working knowledge of statistics and Six Sigma concepts.

Course Contents

Define

Preferences
Table organization and data types
Column commands
Row commands
Table commands
Saving graphs and files

Measure

Establishing project metrics in JMP
Cause and effect diagram
Basic statistics and confidence intervals for variables and attributes data
Variability studies, contour and surface plots
Sample size selection
Measurement systems analysis for variables
Measurement systems analysis for attributes
Distribution fitting for normal and non-normal data
Process capability analysis
Pareto analysis

Analyze

Test mean and standard deviation
Paired t-test
Two-sample t-test
Test for variances
One-way ANOVA
N-way ANOVA
Nonparametric tests (optional)
Simple linear regression
Multiple regression
ANCOVA
Test probabilities
Contingency analysis
Logistic regression
Grafx simulation data in JMP (optional)

Improve

Full factorial designs
Screening designs
Taguchi designs (optional)
Custom designs
Augmented designs
Optimization designs
Mixture designs (optional)
Rapid DOE features in iGrafx and JMP (optional)
Evaluating breakthroughs in JMP

Control

Statistical principles for control charts
Control charts for variables: Xbar and R
Control charts for variables: Xbar and s
Control charts for variables: Individuals and Moving Range
Control charts for variables: Presummarize chart
Control charts for variables: Delta to target chart
Control charts for variables: z chart
Control charts for variables: Other control charts
Control charts for attributes: np
Control charts for attributes: p
Control charts for attributes: c
Control charts for attributes: u
Setting fixed control limits in JMP
Creating standard reports and scorecards using JMP scripts (optional)

Course Materials

Students receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.

Registration

To register for this course in the US, call 800-333-7660 or visit support.sas.com/training. This course is also available for on-site training, or you can create a custom course by combining material from several courses. For more details, contact SAS Education in Cary, NC at 919-531-7321 or send e-mail to training@sas.com.