Understanding Normal Distribution
Six Sigma Statistics Using Minitab  LVC
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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 errorfree business performance. Sigma, Ïƒ, is a letter in the Greek alphabet used by statisticians to measure the variability in any process. A companyâ€™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 problemspermillion opportunities is a response to the increasing expectations of customers and the increased complexity of modern products and processes. Despite its name, Six Sigmaâ€™s magic isnâ€™t in statistical or hightech razzledazzle. 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 inhouse 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 uptodate computer technology. But the tools are applied within a simple performance improvement model known as DefineMeasure
AnalyzeImproveControl, 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
Â 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, ASQCQA, SSBB, and many more. This program will help you in many different ways that you canâ€™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 30days 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 donâ€™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 donâ€™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 fivestep DMAIC 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.

1Welcome to the course

2Descriptive and Inferential Statistics

3Section Introduction  Minitab Basics

4Minitab 17 Introduction

5Minitab 17 Data Types

6Minitab 17 Row Statistics

7Minitab 17 Column Statistics

8Minitab 17 Ranking and Sorting Data

9Quiz  Minitab Basics

10Section Introduction  Graphs

11Box Plot

12Pareto Chart

13Individual Value Plot

14Bar Chart

15Pie Chart

16Graphical Analysis Assistant

17Quiz  Graphs

18Section Introduction  Descriptive Statistics

19Descriptive Statistics

20Descriptive Statistics and Histogram Using Minitab

21Quiz  Descriptive Statistics and Histogram

22Section Introduction  Probability

23Why to learn about probability?

24Defining probability

25Probability related terms

26Union and intersections

27Mutually Exclusive, Independent and Complementary Events

28Marginal, Union and Joint Probabilities

29Addition laws

30Multiplication laws

31Permutations and Combinations

32Quiz  Probability Basic Concepts

33Section Introduction  Probability Distributions

34Continuous vs Discrete Variables

35Continuous vs Discrete Probability Distributions

36Understanding Normal Distribution

37Normality Test in Minitab

38Normal Distribution examples using Minitab

39Understanding Binomial Distribution

40Binomial Distribution Using Minitab

41Understanding Poisson Distribution

42Poisson Distribution Using Minitab

43Quiz  Probability Distributions

44Section Introduction  Process Capability

45Process Capability Explained

46Process performance indices

47Calculating Process Capability

48Calculating Process Capability Using Minitab

49Quiz  Process Capability

50Section Introduction  Measurement System Analysis

51Measurement System Analysis  Introduction

52Measurement System Analysis  Resolution

53Accuracy vs Precision

54Accuracy vs Precision  Graphically Explained

55Accuracy  Bias, Linearity and Stability

56Precision  Repeatability and Reproducibility

57Why to do a Gage R&R Study?

58Crossed vs Nested Gage R&R Study

59Gage R&R Study Using Minitab

60Gage R&R Study Using Minitab  X bar R Method

61Quiz  Measurement System Analysis

62Section Introduction  Correlation Regression

63Correlation Regression Explained

64Drawing a Scatter Diagram

65Drawing a Scatter Diagram Using Minitab

66Calculating Correlation Cooefficient

67Calculating Correlation Cooefficient Using Minitab

68Regression Equation

69Regression Equation Using Minitab

70Quiz  Correlation Regression

71Section Introduction  Control Charts

72Types of Control Charts

73X Bar R Chart

74p, np, c and u Control Charts

75Control Charts  Interpreting Special Causes

76X Bar R Chart  Using Minitab

77X Bar s Chart  Using Minitab

78np Chart  Using Minitab

79p Chart  Using Minitab

80c Chart  Using Minitab

81u Chart  Using Minitab

82Quiz  Control Charts

83Section Introduction  Hypothesis Testing

84Hypothesis Testing Introduction

85Hypothesis Testing  Null and Alternate Hypothesis

86Hypothesis Testing  Level of Confidence and Significance

87Hypothesis Testing  Types of Errors

88Conducting a Z Test

89Conducting a Z Test Using Minitab

90Conducting a tTest

91Conducting a tTest Using Minitab

92One More Example of One Sample t Test Using Minitab

93Conducting Two Sample tTest Using Minitab

94Quiz  Hypothesis Testing

95Section Introduction  ANOVA and DoE

96ANOVA

97Conducting ANOVA test using Minitab

98Design of Experiments

99Analyzing a 2 Factor 2 Level Experiment in Minitab

100Analyzing a 3 Factor 2 Level Experiment in Minitab

101Quiz  ANOVA and Design of Experiments

102Thanks