This course was designed together with The Lean Six Sigma Company, an IASSC-accredited training organization. The Lean Six Sigma Company is a leading Lean Six Sigma provider with courses in over 15 countries worldwide.
In this course you will find an in-depth explanation of the basic statistical theory that is used in the Six Sigma methodology, tailored to the level of Black Belt.
Our online courses are created in close collaboration with educational experts. We have carefully translated internationally recognized learning objectives into course content.
This Statistics for Six Sigma course is designed based upon the international standards set for Lean Six Sigma courses according to the ISO-18404 and ISO13053-2 competency standards.
An important advantage of online courses is students can learn any time at any place. Our courses are always set up in such a way that you will be able to master one topic in just 30 minutes. You can learn at your own convenience whether commuting or having a short break.
Your tutor for this course is a well-known expert in the field of Lean Six Sigma. You will benefit from his years of international experience.
This course is ideal for those preparing for a Lean Six Sigma Black Belt classroom course or certified Black Belts who would like to refresh their knowledge of statistics.
You will understand the statistical principles that a Six Sigma Black Belt is required to understand and will be able to interpret and analyse the statistical data in Six Sigma projects.
With the knowledge and skills gained from this course, you will be able to provide a valuable contribution to Six Sigma projects.
You will be prepared for the statistical side of any Black Belt classroom course that has been properly standardized according to the ISO standards.
for “Coming Soon! Statistics for Six Sigma”
After successful completion of this course, you will have a good understanding of the statistical concepts that are used in Six Sigma projects at the level of Black Belt. You will be able to interpret, calculate and analyse the data and statistics employed within the Six Sigma Methodology.
Lesson 1: Introduction to Six SigmaLesson 2: Samples and Populations
Lesson 3: Central Tendency and Data Measurement ScalesLesson 4: SpreadLesson 5: Statistical VarianceLesson 6: Graphical InstrumentsLesson 7: DistributionsLesson 8: Sigma Level
Lesson 9: Confidence Intervals: DefinitionLesson 10: Confidence Intervals: Calculation
Lesson 11: HypothesesLesson 12: The Scientific MethodLesson 13: The Scientific Method: The SequelLesson 14: P-values and Decisions
Lesson 15: 2-sample t-test and stanrd deviation testLesson 16: ANOVA and Standard Deviation TestLesson 17: % Defective TestLesson 18: Chi2 % DefectiveLesson 19: Chi2 Test AssociationLesson 20: Kruskal WallisLesson 21: Binary Log RegressionLesson 22: Simple RegressionLesson 23: Multiple RegressionLesson 24: Pareto
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When purchasing 5 courses or more, please contact us to arrange the most efficient payment method.
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