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.
Why choose this course?
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.

Duration

10-15 hours

Level

Intermediate

In this course you will learn the principles and theory of statistics that a Lean Six Sigma Black Belt is required to understand, and how to interpret and apply them.

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Collaboration

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.

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Reasons for choosing this course

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.

From learning objectives to course content

Our online courses are created in close collaboration with educational experts. We have carefully translated internationally recognized learning objectives into course content.

Designed according to International Standards

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.

Learn at your own pace at your convenience

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.

Taught by industry experts

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.

Statistics at Lean Six Sigma Black Belt level

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.

After this course

Interpret and analyse statistical data – the Six Sigma way

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.

Contribute 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.

Prepare for your Black Belt

You will be prepared for the statistical side of any Black Belt classroom course that has been properly standardized according to the ISO standards.

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Practical information

   

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.

     

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.

 

Lesson 1: Introduction to Six Sigma
Lesson 2: Samples and Populations

Lesson 3: Central Tendency and Data Measurement Scales
Lesson 4: Spread
Lesson 5: Statistical Variance
Lesson 6: Graphical Instruments
Lesson 7: Distributions
Lesson 8: Sigma Level

Lesson 9: Confidence Intervals: Definition
Lesson 10: Confidence Intervals: Calculation

Lesson 11: Hypotheses
Lesson 12: The Scientific Method
Lesson 13: The Scientific Method: The Sequel
Lesson 14: P-values and Decisions

Lesson 15: 2-sample t-test and stanrd deviation test
Lesson 16: ANOVA and Standard Deviation Test
Lesson 17: % Defective Test
Lesson 18: Chi2 % Defective
Lesson 19: Chi2  Test Association
Lesson 20: Kruskal Wallis
Lesson 21: Binary Log Regression
Lesson 22: Simple Regression
Lesson 23: Multiple Regression
Lesson 24: Pareto

Exam

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