Kennesaw State University
Six Sigma Advanced Define and Measure Phases
Kennesaw State University

Six Sigma Advanced Define and Measure Phases

Christina Scherrer, PhD
Gregory Wiles, PhD
Bill Bailey, PhD

Instructors: Christina Scherrer, PhD

33,765 already enrolled

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Gain insight into a topic and learn the fundamentals.
4.8

(1,242 reviews)

Intermediate level
Some related experience required
Flexible schedule
Approx. 11 hours
Learn at your own pace
96%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.8

(1,242 reviews)

Intermediate level
Some related experience required
Flexible schedule
Approx. 11 hours
Learn at your own pace
96%
Most learners liked this course

Details to know

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Assessments

16 assignments

Taught in English

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This course is part of the Six Sigma Green Belt Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 7 modules in this course

This module is a Yellow Belt Refresher Area, since some learners may have entered this course without having taken the previous yellow belt material. This refresher area does not serve as a "replacement" for taking the yellow belt specialization. It is only a "patch" for those who already have some knowledge of six sigma, but find the yellow belt specialization to be too introductory for their current situation. If you find yourself struggling with the green belt material in this course, it is highly recommended that you travel through the yellow belt specialization before attempting the green belt content. In this module you will learn about team development, different types of teams, tools for decision making, and tools for communication.

What's included

7 videos

In this module you will learn the application of process maps and flow charts swim lane. You will also about the application of: written procedures and works instructions, CEDAC, the Pareto diagram, and the relationship matrix.

What's included

7 videos1 reading2 assignments

In this module, you will learn how mutually-exclusive events and independent events relate to probability. You will also learn how to solve basic probability problems, including those that require the addition, multiplicative, and conditional rules of probability.

What's included

5 videos2 assignments

In this module, you will learn how to solve probability problems related to combinations and permutations. You will also learn about central limit theorem and how to apply it to the concept of confidence intervals. This module also touches on descriptive and inferential statistics.

What's included

4 videos2 assignments

In this module, you will learn about the basic characteristics of probability distributions. You will also learn about binomial, normal, Poisson, t-, chi-square, and F-distributions.

What's included

7 videos2 assignments

In this module, you will learn the different types and sources of data. You will also learn: how to classify groups of data for descriptive statistics analysis, different ways to graphically display data, how to express the importance of measurement systems analysis, and the difference between precision and accuracy. This module also begins with a Yellow Belt Refresher Area, since some learners may have entered this course without having taken the previous yellow belt material. This refresher area does not serve as a "replacement" for taking the yellow belt material. It is only a "patch" for those who already have some knowledge of six sigma, but find the yellow belt specialization to be too introductory for their current situation. If you find yourself struggling with the green belt material in this course, it is highly recommended that you travel through the yellow belt specialization before attempting the green belt content.

What's included

8 videos4 assignments

In this module, you will learn how to use statistical tools and analyze data, including skills like: how to distinguish between natural process limits and specification limits, how to calculate the value of Cp and Ck, how to deal with process capability studies. This module also addresses multi-vari studies, the the correlation coefficient, and linear regression.

What's included

8 videos4 assignments

Instructors

Instructor ratings
4.6 (198 ratings)
Christina Scherrer, PhD
Kennesaw State University
7 Courses221,894 learners
Gregory Wiles, PhD
Kennesaw State University
7 Courses221,894 learners
Bill Bailey, PhD
Kennesaw State University
9 Courses261,975 learners

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4.8

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