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Want this course at another location or on a different date? Let us know your course needs.On-site Pricing
Course fee and EPTO/APTO units differ for on-site training.JMP for the Six Sigma Professional
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Duration: 4.0 days CEUs: 2.4 | ||
| (This course is not currently scheduled.) |
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
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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
- 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
- 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)
- 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
- 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.
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Not currently scheduled. Available for on-site training or can be scheduled at any SAS training facility if demand warrants.
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