204 Correlation-Regression - English

This module will define terms related to correlation analysis, show simple uses of linear regression and introduce residuals and residual analysis.

106 Cause & Effect Matrix

This module will show you how the Cause and Effects Matrix uses the inputs from the Process Map to create a sorted list of those inputs showing which ones are most likely to be the important few. Course topics include: Demonstrate the steps required to create a C&E Matrix Show how the C&E Matrix ties into the DMAIC Roadmap Student is give the opportunity to create a C&E Matrix

209 - Design of Experiments

This module will introduce the student to the concept of designed experiments and teach the basic concepts for 2k studies. You'll also learn about Design of Experiment Plots, including: Main Effects Interaction Cube or Square Plots

115 Lean Tools - English

In this module we cover some basic Lean tools found in the DMAIC process. We will briefly discuss the most common tools used in Lean as they relate to your Six Sigma project, including: 5s Value Stream Mapping

109 Introduction to Minitab - English

An introduction to Minitab, the recognized global standard for statistical software used by Six Sigma practitioners, quality leaders and statisticians. This course demonstrates some basic features and functionalities of Minitab that will help you to effectively organize, manipulate and display data. The course is appropriate for learners of all levels. Students will need to have Minitab software in order to complete this module. Minitab.com offers a free 30-day trial.

105 Process Mapping - English

In this module we'll provide an overview of Process Mapping. Course topics include: Step-by-step examples of Process Mapping Demonstrate where Process Mapping fits in the DMAIC Methodology Perform a Process Mapping exercise

111 Introduction to SPC

This module introduces Statisical Process Control (SPC) and how it is used in Six Sigma to determine if a process is stable and running in a consistent manner. Topics covered include: Link the Control Chart methods to the DMAIC roadmap Discuss the different types of variation found in processes Introduce various types of Control Charts Discuss how to interpret the Control Charts

113 Introduction to Capability - English

This module introduces the student to the Capability Study where they will examine a variety of options to establish the baseline capability of either attribute or variable data. Topics covered include: The common Process Capability indicies for variables data How to complete the Variables capability study using Minitab Explore the differences between short term and long term process Capability

This module will explain the t-Test, used to check variances of processes. Topics covered include: Introduce the Statistical Analysis Roadmap to be used when comparing two processes Explain the t-Test for the comparison of means Introduce the Test for Equal Variances Review Stability and Normality tests Show how those tests fit into the Roadmap

107 Failure Mode Effects Analysis (FMEA) - English

FMEA is a tool that should be used whenever a process is initially investigated, or when a process has been changed. Course topics include: Discuss the uses of FMEA Learn to identify sources of risk and potential failures Describe different types of FMEA Explain the steps to develop a Process FMEA Practice creating an FMEA

203 Hypothesis Tests - English

This module will help the student build a foundation with some basic statistical concepts in order to understand the analytical tools. One of the critical concepts is that of Hypothesis Testing. Topics covered include: Hypothesis Testing Procedure Decision Errors Chi-square / t-Test / ANOVA / F Test p-value Test examples and results

102 Six Sigma Overview - English

This program provides students with an in-depth overview of Six Sigma and its' powerful effect on the organization. Also covered are best practices for implementing the infrastructure for a sustainable initiative. Course Includes: Introduction to Six Sigma Introduce the DMAIC Roadmap Link between Six Sigma and Lean Methodologies Click here for a Preview

104 Deployment Phase - English

This module discusses the key points of a Six Sigma initiative, as well providing guidelines for a successful deployment. Course topics include: Guidelines for Six Sigma Deployment Discuss Organizational Structure for Six Sigma Describe Roles and Responsibilities Show Different Approaches to Deployment

108 Basic Statistics - English

This module will introduce you to basic concepts in statistics. Course topics include: Introducing ways of describing data Introducing the concepts of Shape, Center, and Spread of distributions Learn about the Normal distribution

207 Chi-Squared Test - English

This module will show how proportions relate to categorical outputs and review the general condition and hypotheses that leads to a Chi-Square test. Topics covered include: Review the categorical input and categorical output situation Explain the role of proportions in describing categorical outputs Learn the hypothesis tests that apply in the categorical case Show where Chi square test fits in the DMAIC Roadmap

206 Analysis of Variance (ANOVA) - English

This module will introduce the ANOVA (Analysis of Variance) tool. Module will be using a single factor at multiple levels, so the tool is called the One-way ANOVA. We will show different ways of looking at the different levels to get a visual of whether or not their means differ as well as demonstrate the relation between the t and F statistics in a 2-level ANOVA.

Individual Six Sigma Modules - English Archives

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204 Correlation-Regression – English
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106 Cause & Effect Matrix
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209 – Design of Experiments
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115 Lean Tools – English
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109 Introduction to Minitab – English
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105 Process Mapping – English
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111 Introduction to SPC
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113 Introduction to Capability – English
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205 t-Test – English
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107 Failure Mode Effects Analysis (FMEA) – English
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203 Hypothesis Tests – English
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102 Six Sigma Overview – English
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104 Deployment Phase – English
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108 Basic Statistics – English
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207 Chi-Squared Test – English
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206 Analysis of Variance (ANOVA) – English
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