It is known that the most powerful and effective tools applied by Black Belts in their Six Sigma continuous improvement projects are usually statistically based methodologies. This course will focus on a review of the statistical tools and methods that are used in the measure, analyze, improve and control phases of the Six Sigma DMAIC approach to continuous process improvement.
This course consists of Six Sigma Black Belt level statistics and is intended as a review course for existing Black Belts or those preparing to become a Certified Six Sigma Black Belt.
Minitab statistical software will occasionally be used to perform the mathematical calculations of some problems once the explicit mathematical equation and manual calculations have been presented to the class. The 3 day course will consist of approximately 2 days of a review of Statistical Theory and Methodology within the Six Sigma Body of Knowledge and approximately 1/2 day of review of simulated CSSBB exam questions. The students will be given a set of sample exam questions prior to the first day of class that will be completed prior to and throughout the review session as well as partially reviewed by the instructor prior to the end of the third day of class. The exam questions that students are unable to answer and/or understand will be reviewed in class as time allows and the instructor will attempt to explain the theory and logic behind as many questions as time allows. This portion of the course will be very helpful to those students planning to take either of the ASQ Certification exams (CSSBB or CQE)
The course will help increase your understanding and knowledge of the statistics applied in solving difficult Six Sigma Black Belt projects.
- Measure Phase: Six Sigma
- Probability & Descriptive Statistics
- Central Limit Theorem
- Sampling Distribution of the Mean
- Probability Distributions
- Introduction to Process Capability
- (Cp/Cpk) & (Pp/Ppk)
- Measurement System Analysis,
- Gage R&R
- Analyze Phase: Six Sigma
- Multi-Vary Studies
- Regression & Correlation
- Hypthesis Testing
- Sample Size
- Significance Levels
- Point & Interval Estimation
- Analysis of Variance (ANOVA)
- Improve Phase: Six Sigma Design of Experiment approach and overview
- Design of Experiments
- Full Factorial Experiments
- Fractional Factorial Experiments
- Response Surface Methods
- Control Phase: Six Sigma
- Statistical Process Control
- Selection and Application of Control Charts:
- Variable & Attribute
- Analysis of Control Charts
** Books are additional – 1st Book-Statistical Quality Control-7th Ed. (1995) by Grant and Leavenworth-2nd Book-Certified Six Sigma Black Belt Primer
Call Sean Anzuoni for pricing and scheduling at 508-954-0185 or E-mail firstname.lastname@example.org.