Six Sigma Statistics Using Minitab – LVC

Understanding Normal Distribution

What Is Six Sigma?

Six Sigma is a rigorous, focused, and highly effective implementation of proven quality principles and techniques. Incorporating elements from the work of many quality pioneers, Six Sigma aims for virtually error-free business performance. Sigma, σ, is a letter in the Greek alphabet used by statisticians to measure the variability in any process. A company’s performance is measured by the sigma level of its business processes. Traditionally companies accepted three or four sigma performance levels as the norm, despite the fact that these processes created between 6,200 and 67,000 problems per million opportunities! The Six Sigma standard of 3.4 problems-per-million opportunities is a response to the increasing expectations of customers and the increased complexity of modern products and processes. Despite its name, Six Sigma’s magic isn’t in statistical or high-tech razzle-dazzle. Six Sigma relies on tried and true methods that have been used for decades. By some measures, Six Sigma discards a great deal of the complexity that characterized Total Quality Management (TQM). Six Sigma takes a handful of proven methods and trains a small cadre of in-house technical leaders, known as Six Sigma Black Belts, to a high level of proficiency in the application of these techniques. To be sure, some of the methods Black Belts use are highly advanced, including up-to-date computer technology. But the tools are applied within a simple performance improvement model known as Define-Measure-

Analyze-Improve-Control, or DMAIC. DMAIC is described briefly as follows:

D Define the goals of the improvement activity.

M Measure the existing system.

A Analyze the system to identify ways to eliminate the gap between the current

performance of the system or process and the desired goal.

I Improve the system.

C Control the new system# Add a description and highlights of the event

Course Agenda:

1: Introduction to Six Sigma I

2: Introduction to Six Sigma II

3: Six Sigma Problem Solving

4: Six Sigma Roles & Responsibilities

5: Listening to Customers.

6: Define – Completing a Project Charter

7: Define – Process Mapping Tools

8: Measure – Cause & Effect Relationships

9: Measurement System Analysis

10: Measure – Data Types

11: Measure – Data Sampling

12: Measure – Data Collection

13: Measure – Intro to Business Statistics

14: Measure – Graphical Methods

15: Measure – Assessing Capability & Performance

16: Analyze – Theory of Hypothesis Testing

17: Analyze – Performing Hypothesis Test

18: Analyze – Correlation & Regression

19: Improve – Lean Management Systems

20: Improve – Generating & Screening Solutions

21: Improve – Failure Mode Effects Analysis

22: Control – Control Plan

 What you can learn from this Six Sigma Statistics Using Minitab program?

  • Gives you complete knowledge about the statistical concepts so that you can understand them from the bottom to the Six Sigma Black Belt Level.
  • Become capable to utilize the Minitab 17 to conduct a higher level of statistical analysis.
  • Assist you in learning statistics for passing the certification exams, like CQE, SSGB, ASQ-CQA, SSBB, and many more. This program will help you in many different ways that you can’t even imagine.

Program Requirements

  • A strong desire to learn about six sigma statistics.
  • There is a part of the program that utilizes the Minitab 17. So, you require this software for practicing it easily. It should be noted that a 30-days free trial version of this software is available on Minitab.com and you can download that easily.

Six Sigma Statistics Using Minitab Program Details

Check out the complete information about the content that is included in the Six Sigma Statistics course:

  • Complete explanation about the basic and simple terms that allow you to understand concepts of all the levels.
  • Techniques for performing the statistical analysis with the help of Minitab 17 software that can help you in the black belt and Six Sigma Green projects.
  • A great amount of topics is covered in this course that starts from the basics and end at the advanced ones. It includes all the topics, such as Gage R & R, Hypothesis Testing, Measurement System Analysis, Design of Experiments, and ANOVA.

Now, have a look at some of the best features of the Six Sigma Statistics Using Minitab program that will make you buy it now:

  • You don’t have to pay a huge amount ranging from $500 to $2,000.
  • There is no need to take holidays from your job as it can be done simultaneously.
  • A certificate of completion will be given at the end of the course.
  • Compete satisfaction is guaranteed from our side. If you don’t get satisfied with our work, then you will get all your money back within 30 days.

This Six Sigma Statistics Using Minitab program is created by a professional tutor who has experience of more than 30 years. He has complete knowledge about this field that will help in lots of ways.

This program has designed hundreds of individuals for their Six Sigma projects by using the Minitab 17 via simple and professional language. All the videos of the Six Sigma Statistics program are short and can be understood easily. Moreover, you can have a discussion with the tutor and other students by clicking on the right side. It will help you to discuss particular issues and problems with others.

Who can get the most out of this Six Sigma Statistics Using Minitab program?

  • Quality Managers who are looking to promote themselves in the organization
  • The professionals and supervisors who are looking to implement the process of Six Sigma within a company.
  • Six Sigma Green Belts
  • Six Sigma Black Belts
  • The business managers are looking to know the real truth about the numbers.

In simple words, we can say that it is a unique type of program that can help individuals who are facing issues with the six sigma statistics.

Learning Objectives:
1) Employ your Lean Six Sigma skills to lead a successful process improvement project that delivers meaningful results to your organization.
2) Communicate using Lean Six Sigma concepts.
3) Think about your organization as a collection of processes, with inputs that determine the output.
4) Relate Lean Six Sigma concepts to the overall business mission and objectives.
5) Understand and apply the five-step D-M-A-I-C model as a framework to organize process improvement activity.
6) Employ a wide range of process improvement techniques, including the design of experiments, within the DMAIC model.
7) Recognize the organizational factors that are necessary groundwork for a successful Lean Six Sigma effort.

1
Welcome to the course
2
Descriptive and Inferential Statistics
3
Section Introduction – Minitab Basics
4
Minitab 17 Introduction
5
Minitab 17 Data Types
6
Minitab 17 Row Statistics
7
Minitab 17 Column Statistics
8
Minitab 17 Ranking and Sorting Data
9
Quiz – Minitab Basics
10
Section Introduction – Graphs
11
Box Plot
12
Pareto Chart
13
Individual Value Plot
14
Bar Chart
15
Pie Chart
16
Graphical Analysis Assistant
17
Quiz – Graphs
18
Section Introduction – Descriptive Statistics
19
Descriptive Statistics
20
Descriptive Statistics and Histogram Using Minitab
21
Quiz – Descriptive Statistics and Histogram
22
Section Introduction – Probability
23
Why to learn about probability?
24
Defining probability
25
Probability related terms
26
Union and intersections
27
Mutually Exclusive, Independent and Complementary Events
28
Marginal, Union and Joint Probabilities
29
Addition laws
30
Multiplication laws
31
Permutations and Combinations
32
Quiz – Probability Basic Concepts
33
Section Introduction – Probability Distributions
34
Continuous vs Discrete Variables
35
Continuous vs Discrete Probability Distributions
36
Understanding Normal Distribution
37
Normality Test in Minitab
38
Normal Distribution examples using Minitab
39
Understanding Binomial Distribution
40
Binomial Distribution Using Minitab
41
Understanding Poisson Distribution
42
Poisson Distribution Using Minitab
43
Quiz – Probability Distributions
44
Section Introduction – Process Capability
45
Process Capability Explained
46
Process performance indices
47
Calculating Process Capability
48
Calculating Process Capability Using Minitab
49
Quiz – Process Capability
50
Section Introduction – Measurement System Analysis
51
Measurement System Analysis – Introduction
52
Measurement System Analysis – Resolution
53
Accuracy vs Precision
54
Accuracy vs Precision – Graphically Explained
55
Accuracy – Bias, Linearity and Stability
56
Precision – Repeatability and Reproducibility
57
Why to do a Gage R&R Study?
58
Crossed vs Nested Gage R&R Study
59
Gage R&R Study Using Minitab
60
Gage R&R Study Using Minitab – X bar R Method
61
Quiz – Measurement System Analysis
62
Section Introduction – Correlation Regression
63
Correlation Regression Explained
64
Drawing a Scatter Diagram
65
Drawing a Scatter Diagram Using Minitab
66
Calculating Correlation Cooefficient
67
Calculating Correlation Cooefficient Using Minitab
68
Regression Equation
69
Regression Equation Using Minitab
70
Quiz – Correlation Regression
71
Section Introduction – Control Charts
72
Types of Control Charts
73
X Bar R Chart
74
p, np, c and u Control Charts
75
Control Charts – Interpreting Special Causes
76
X Bar R Chart – Using Minitab
77
X Bar s Chart – Using Minitab
78
np Chart – Using Minitab
79
p Chart – Using Minitab
80
c Chart – Using Minitab
81
u Chart – Using Minitab
82
Quiz – Control Charts
83
Section Introduction – Hypothesis Testing
84
Hypothesis Testing Introduction
85
Hypothesis Testing – Null and Alternate Hypothesis
86
Hypothesis Testing – Level of Confidence and Significance
87
Hypothesis Testing – Types of Errors
88
Conducting a Z Test
89
Conducting a Z Test Using Minitab
90
Conducting a t-Test
91
Conducting a t-Test Using Minitab
92
One More Example of One Sample t Test Using Minitab
93
Conducting Two Sample t-Test Using Minitab
94
Quiz – Hypothesis Testing
95
Section Introduction – ANOVA and DoE
96
ANOVA
97
Conducting ANOVA test using Minitab
98
Design of Experiments
99
Analyzing a 2 Factor 2 Level Experiment in Minitab
100
Analyzing a 3 Factor 2 Level Experiment in Minitab
101
Quiz – ANOVA and Design of Experiments
102
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Enrolled: 200 students
Duration: 8 Weeks
Lectures: 102
Video: 32 Hours

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Monday 9:30 am - 6.00 pm
Tuesday 9:30 am - 6.00 pm
Wednesday 9:30 am - 6.00 pm
Thursday 9:30 am - 6.00 pm
Friday 9:30 am - 5.00 pm
Saturday Closed
Sunday Closed