Lean Six Sigma Black Belt Certification Training
Simplilearn Americas LLC
Course Summary
The Lean Six Sigma Black Belt training is the most exclusive certification for the Lean Six Sigma quality management methodology. This Six Sigma Black Belt certification course is the final stage of the Masters program that will position you as an expert in implementing Lean, Design for Six Sigma (DFSS), Six Sigma Define, Measure, Analyze, Improve and Control (DMAIC) and Total Productive Maintenance (TPM). Join this exclusive worldwide group of 4000 certified Lean Six Sigma Black Belts today.
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Course Description
Who are the trainers for the live classroom training?
All of our highly qualified and certified instructors have 20+ years of experience working and delivering classroom training.
What payment options are available?
Payments can be made using any of the following options. You will be emailed a receipt after the payment is made.Visa Credit or Debit Card
MasterCard
American Express
Diner's Club
PayPal
Can I cancel my enrollment? Will I get a refund?
Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, you can view our Refund Policy.
Do you provide money back guarantee for the training programs?
Yes. We do offer a money-back guarantee for many of our training programs. You can refer to the Refund Policy and raise refund requests via our Help and Support portal.
How will I get my course completion certificate from Simplilearn?
We offer course completion certificate after you successfully complete the training program.
Do you provide PDUs after completing the training? How many hours of PDU certificate do I get?
Yes, we offer PDU certificates to candidates who successfully complete the training. You can earn 45 hours of PDU certification.
What is the difference between Lean Six Sigma Black Belt and Six Sigma Black Belt?
The Lean Six Sigma Black Belt (LSSBB) Body of Knowledge will train you on Lean Management and Six Sigma tools and methodologies.How long will it take for me to complete the LSSBB Curriculum?
The five-day training module for LSSBB will train you on the concepts. By the end of the five days, you will be ready to use the concepts and tools in your real-life applications. That being said, Six Sigma is a discipline of continual learning and practical applications.What are the prerequisites for me to enroll for the LSSBB Curriculum?
Participants must have at least two years' experience in Quality Management role and should have worked on process improvement projects AND
Participant must be a Masters in Statistics AND
Participant must be a Six Sigma Green Belt Certificate Holder having shown adequate expertise handling Six Sigma tools
Do you offer Master Black Belt Certification?
Simplilearn offers a Lean Six Sigma Masters Program <LINK> that provides comprehensive training, including Lean Management, Lean Six Sigma Green Belt, Minitab, and Lean Six Sigma Black Belt.
Why should I choose Simplilearn for LSSBB over other courses?
We are pioneer in the field of online training and certification and offer a blended delivery model, combining live online classroom training and self-paced e-learning. We have trained 12,000+ professionals across 115 countries, offering a multitude of professional courses to meet every unique requirement.
Do I get post-program support?
Yes, you will get support through forum and community discussions.
Where and how can I access the e-learning content? Are there any limitations?
Once you register with us for a course by paying the course fee, you will have 24/7 access to the e-learning content on our website. An automated confirmation will guide you through the process.
I am not able to access the online course. Whom should I contact for a solution?
Please raise a request via our Help and Support portal to have your issue resolved.
I'd like to learn more about this training program. Whom should I contact?
Contact us using the form on the right of any page on the Simplilearn website, or select the Live Chat link. Our customer service representatives can provide you with more details.
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Course Syllabus
Course preview
Lean Six Sigma Black Belt
Section 00 - Six Sigma Black Belt 07:12
0.1 Welcome 00:09
0.2 Six Sigma Black Belt 00:32
0.3 Agenda 00:48
0.4 What is SSBB 01:43
0.5 Accreditation Institute 01:18
0.6 Target Audience 00:48
0.7 SSBB Exam Format 00:56
0.8 Simplilearn LSSBB Course Offer 00:53
0.9 Thank You 00:05
Section 01 - Overview 1:57:45
1.1 Welcome 00:08
1.2 Overview 00:26
1.3 Agenda 01:19
1.4 Lesson 1 About LSSBB 00:15
1.5 Agenda 00:32
1.6 What is Six Sigma 02:02
1.7 Six Sigma Roles and Responsibilities 02:44
1.8 About SSBB 01:54
1.9 LSSBB Roles and Responsibilities 02:37
1.10 Summary 00:55
1.11 Lesson 2 Organizational Roadblocks 00:29
1.12 Agenda 00:38
1.13 Traditional Organization versus Customer Driven Organization 01:36
1.14 Types of Organizational Roadblocks 01:21
1.15 Types of Organizational Roadblocks(Contd.) 01:24
1.16 Types of Organizational Roadblocks(Contd.) 01:11
1.17 Types of Organizational Roadblocks(Contd.) 01:07
1.18 Types of Organizational Roadblocks(Contd.) 00:59
1.19 Types of Organizational Roadblocks(Contd.) 01:14
1.20 Types of Organizational Roadblocks(Contd.) 01:34
1.21 Change Resistance Curve 00:51
1.22 Change Resistance Curve(Contd.) 01:38
1.23 Change Resistance Curve(Contd.) 01:25
1.24 Common Resistance Points 00:56
1.25 Common Resistance Points(Contd.) 02:00
1.26 Overcoming Resistance Points 01:06
1.27 Force Field Analysis 00:47
1.28 Force Field Analysis(Contd.) 01:13
1.29 Force Field Analysis(Contd.) 01:14
1.30 Force Field Analysis(Contd.) 00:55
1.31 Summary 01:12
1.32 Lesson 3 Role of Communication and Selection Criteria in Black Belt 00:10
1.33 Agenda 00:38
1.34 Black Belt Role Summary 01:05
1.35 Black Belt Communication Expectations 01:51
1.36 Black Belt Selection Criteria 01:05
1.37 Summary 00:32
1.38 Lesson 4 Overview of Continuous Improvement 00:07
1.39 Agenda 00:29
1.40 Continual Improvement Process 01:25
1.41 Continuous versus Continual Improvement 01:20
1.42 Kaizen Continual Improvement 02:23
1.43 Kaizen Continual Improvement(Contd.) 02:15
1.44 Summary 00:27
1.45 Lesson 5 Lean An Overview 00:26
1.46 Agenda 00:24
1.47 What is Lean 00:46
1.48 History of Lean 01:18
1.49 Principles of Lean 01:19
1.50 Key Benefits of Implementing Lean 01:52
1.51 Key Benefits of Implementing Lean(Contd.) 00:49
1.52 Why Lean before Six Sigma 01:43
1.53 Summary 00:39
1.54 Lesson 6 Lean Concepts Explained 00:26
1.55 Agenda 00:39
1.56 Warusa Kagen 01:07
1.57 Warusa Kagen(Contd.) 00:51
1.58 3Ms 00:59
1.59 8 Types of Waste (TIMWOODS) 02:33
1.60 Mottainai 01:06
1.61 Hoshin Kanri 00:45
1.62 Hoshin Kanri(Contd.) 00:58
1.63 Hoshin Kanri(Contd.) 03:14
1.64 Takt Time 01:02
1.65 Takt Time(Contd.) 01:39
1.66 Cycle Time 01:48
1.67 Lead Time 01:31
1.68 Lead Time Assignment 00:40
1.69 Lead Time Assignment(Contd.) 01:32
1.70 Production Cycle Efficiency 01:19
1.71 Batch Size 01:05
1.72 Every Part Every Interval(EPEI) 00:30
1.73 EPEI(Contd.) 01:52
1.74 EPEI(Contd.) 01:11
1.75 EPEI Calculation Spreadsheet 00:16
1.76 Batch Size Assignment 01:25
1.77 Batch Size Assignment(Contd.) 01:19
1.78 Batch Size Assignment(Contd.) 00:57
1.79 Batch Size Assignment(Contd.) 01:21
1.80 Batch Size Assignment(Contd.) 00:52
1.81 Crew Size 00:54
1.82 Crew Size Assignment 01:04
1.83 Crew Size Assignment(Contd.) 01:06
1.84 Crew Size Assignment(Contd) 01:12
1.85 Standardized Working Progress(SWIP) 01:26
1.86 Summary 01:12
1.87 Lesson 7 Lean Tools Explained 00:20
1.88 Agenda 00:19
1.89 5S 00:58
1.90 5S(Contd.) 00:59
1.91 5S Audit Worksheet 00:16
1.92 SMED 01:58
1.93 SMED(Contd.) 01:23
1.94 Heijunka 01:26
1.95 Heijunka An Example 01:09
1.96 Genchi Genbutsu 01:37
1.97 Value Stream Mapping(VSM) 01:26
1.98 VSM Symbols 00:24
1.99 Value Stream Mapping(Contd.) 00:56
1.100 Value Stream Mapping(Contd.) 03:11
1.101 Summary 00:42
1.102 Quiz
1.103 Thank You 00:05
Section 02 - DFSS, Pre-define and Define (DMAIC) 1:27:05
2.1 Welcome 00:07
2.2 Agenda 00:44
2.3 DFSS Pre Define and Define(DMAIC) 00:12
2.4 DFSS Design for Six Sigma and DMAIC versus DFSS 00:18
2.5 Agenda 00:52
2.6 Agenda(Contd.) 00:36
2.7 Design for Six Sigma(DFSS) 01:47
2.8 DFSS Approach to Problem Solving 01:12
2.9 DMAIC Approach to Problem Solving 01:09
2.10 DMAIC versus DFSS 01:27
2.11 DFSS Tools 00:51
2.12 Toll Gate Review 00:57
2.13 Benchmarking 01:15
2.14 MSA 01:36
2.15 VOC 01:27
2.16 Needs Vs Requirements 02:17
2.17 KJ Diagram 01:12
2.18 Quality Function Deployment(QFD) 01:14
2.19 Kano Model 02:34
2.20 Kano Model(Contd.) 00:59
2.21 Kano Model(Contd.) 01:42
2.22 HOQ 01:02
2.23 HOQ(Contd.) 01:20
2.24 HOQ(Contd.) 00:14
2.25 AHP 01:52
2.26 AHP(Contd.) 01:03
2.27 Pugh Matrix for Concept Selection 01:22
2.28 Pugh Matrix for Concept Selection(Contd.) 00:52
2.29 Sample Pugh Matrix 02:36
2.30 Monte Carlo Simulation 01:13
2.31 Design for X 01:04
2.32 Summary 00:57
2.33 Lesson 2 Pre Define Activities 00:12
2.34 Agenda 01:08
2.35 Prerequisites of a Six Sigma Project 01:14
2.36 Qualifications of a Six Sigma Project 01:07
2.37 Cornerstones of a Six Sigma Project 01:22
2.38 Six Sigma Deployment Cycle Plan 01:49
2.39 10 Point Ongoing Project Evaluation 01:07
2.40 Project Prioritization Matrix 01:02
2.41 Project Prioritization Matrix(Contd.) 01:31
2.42 Enterprise Wide versus LOB View 01:10
2.43 Enterprise Wide Roles and Responsibilities 01:23
2.44 NPV(Net Present Value) 02:07
2.45 Internal Rate of Return(IRR) 01:06
2.46 NPV and IRR An Example
2.47 NPV and IRR An Example(Contd.) 01:40
2.48 Summary 00:56
2.49 Lesson 3 Define 00:12
2.50 Agenda 01:41
2.51 Define Key Objectives 00:49
2.52 Voice of Customer 01:05
2.53 Voice of Business 00:55
2.54 Voice of Process 00:56
2.55 VOC VOB and VOP 01:02
2.56 Kano Model 01:09
2.57 Assignment 00:59
2.58 Translation to Project Y 00:57
2.59 Quality Function Deployment 01:25
2.60 Quality Function Deployment(Contd.) 00:57
2.61 Quality Function Deployment An Example 00:36
2.62 Process Map 00:53
2.63 Y Baseline Performance 01:10
2.64 Y Baseline Performance(Contd.) 01:14
2.65 SIPOC 00:58
2.66 Project Charter 01:25
2.67 The Problem Statement and the Goal Statement 01:26
2.68 RACI Matrix 00:49
2.69 Business Metrics 01:16
2.70 Business Metrics(Contd.) 01:20
2.71 Project Deliverables 01:25
2.72 Project Scheduling 01:06
2.73 Team Selection 01:08
2.74 Define Roles and Responsibilities 01:06
2.75 Define Tools Summary 00:29
2.76 Lesson 3 Summary 01:37
2.77 Quiz
2.78 Thank You 00:03
Section 03 - Measure 2:00:10
3.1 Measure 00:11
3.2 Introduction to MEASURE 00:22
3.3 Agenda 02:00
3.4 Pre Measure Considerations and Tools 00:20
3.5 Agenda 00:13
3.6 Define Phase Toll Gate Review 01:08
3.7 DFMEA 01:14
3.8 DFMEA(Contd.) 00:52
3.9 DFMEA(Contd.) 00:20
3.10 DFMEA(Contd.) 00:20
3.11 DFMEA(Contd.) 01:19
3.12 Cause and Effect Matrix(CE Matrix) 01:02
3.13 Cause and Effect Matrix(Contd.) 00:57
3.14 Cause and Effect Matrix(CE Matrix)(Contd.) 00:33
3.15 Cause and Effect Matrix(CE Matrix)(Contd.) 00:30
3.16 Cause and Effect Matrix(CE Matrix)(Contd.) 00:36
3.17 Cause and Effect Matrix(Contd.) 00:22
3.18 Summary 00:19
3.19 Types of Data and Measurement Scales 00:14
3.20 Agenda 00:20
3.21 Objectives of Measure Phase 01:08
3.22 What is a Process 00:55
3.23 Flowcharts 01:41
3.24 SIPOC 01:01
3.25 SIPOC(Contd.) 01:20
3.26 SIPOC(Contd.) 00:16
3.27 Metrics 00:55
3.28 Measurement Scales 01:00
3.29 Measurement Scales(Contd.) 00:42
3.30 Measurement Scales(Contd.) 01:00
3.31 Types of Data 01:04
3.32 Types of Data(Contd.) 01:01
3.33 Summary 00:24
3.34 Central Tendency and Dispersion 00:15
3.35 Agenda 00:34
3.36 Central Tendency and Dispersion Introduction 00:57
3.37 Mean 00:33
3.38 Mean(Contd.) 01:16
3.39 Median 00:49
3.40 Mode 01:11
3.41 Range 01:22
3.42 Variance 01:01
3.43 Standard Deviation 00:53
3.44 Mean Deviation 00:43
3.45 Summary 00:25
3.46 Measurement System Analysis 00:19
3.47 Agenda 00:53
3.48 Purpose of Measurement System Analysis 00:49
3.49 Measurement System Errors 00:59
3.50 Measurement System Errors(Contd.) 00:24
3.51 Measurement System Errors(Contd.) 00:57
3.52 Properties of Good Measurement Systems 01:07
3.53 Measurement System Errors Illustrated 01:06
3.54 Measurement System Discrimination 00:32
3.55 Bias 00:40
3.56 Bias(Contd.) 01:29
3.57 Measurement System Analysis Process Flow 00:46
3.58 Part Variation 00:49
3.59 Measurement System Analysis Formulas 01:20
3.60 Measurement Systems Analysis Example 01:00
3.61 Measurement Systems Analysis Example(Contd.) 00:07
3.62 Measurement Systems Analysis Graphs 00:34
3.63 Measurement Systems Analysis Graphs(Contd.) 00:26
3.64 Measurement Systems Analysis Graphs(Contd.) 00:56
3.65 Assignment 00:53
3.66 Attribute RR 00:57
3.67 Attribute RR(Contd.) 00:46
3.68 Attribute RR(Contd.) 00:13
3.69 Attribute RR(Contd.) 01:08
3.70 Attribute RR(Contd.) 00:36
3.71 Attribute RR(Contd.) 00:35
3.72 Attribute RR(Contd.) 00:49
3.73 Attribute RR(Contd.) 00:23
3.74 Attribute RR(Contd.) 00:27
3.75 Attribute RR(Contd.) 01:13
3.76 When to Do Measurement System Analysis 00:33
3.77 Data Collection Plan 01:17
3.78 Data Collection Plan Template and Example 00:41
3.79 Summary 00:39
3.80 Stability Conditions 00:15
3.81 Agenda 00:36
3.82 Controlled Process and Variation 00:37
3.83 Special Causes of Variation 01:10
3.84 Common Causes of Variation 01:18
3.85 Common Causes of Variation(Contd.) 01:10
3.86 Stability Introduction and SPC 01:52
3.87 Stability Check with Minitab 00:27
3.88 Stability Check with Minitab(Contd.) 01:22
3.89 Stability Check with Minitab(Contd.) 00:57
3.90 Stability Check with Minitab(Contd.) 00:40
3.91 Stability Check using Run Charts 00:34
3.92 Stability Conditions 00:55
3.93 Central Limit Theorem 00:56
3.94 Summary 00:34
3.95 Capability Metrics 00:16
3.96 Agenda 00:18
3.97 Process Capability Pre Considerations 01:38
3.98 Process Capability Pre Considerations(Contd.) 00:55
3.99 Process Capability Pre Considerations(Contd.) 00:58
3.100 Process Capability Pre Considerations(Contd.) 01:01
3.101 Process Capability Pre Considerations(Contd.) 00:59
3.102 Process Capability Pre Considerations(Contd.) 00:07
3.103 Process Capability Pre Considerations(Contd.)
3.104 Process Capability Pre Considerations(Contd.)
3.105 Process Capability Pre Considerations(Contd.) 00:43
3.106 Process Capability Indices for Continuous Data 00:51
3.107 Process Capability Indices for Continuous Data(Contd.) 01:12
3.108 Process Capability Indices for Continuous Data(Contd.) 00:45
3.109 Process Capability Indices Interpretation 00:47
3.110 Process Capability for Discrete Data 00:59
3.111 Process Capability for Discrete Data(Contd.) 00:22
3.112 Process Capability for Discrete Data(Contd.) 00:14
3.113 Non Normal Capability Analysis 01:00
3.114 Non Normal Capability Analysis(Contd.) 00:32
3.115 Non Normal Capability Analysis(Contd.) 00:29
3.116 Non Normal Capability Analysis(Contd.) 00:36
3.117 Non Normal Capability Analysis(Contd.) 01:46
3.118 Non Normal Capability Analysis(Contd.) 01:00
3.119 Assignment 01:02
3.120 Summary 00:43
3.121 Variations Variability Capability and Process Conditions 00:18
3.122 Agenda 00:11
3.123 Variations and Variability 01:31
3.124 Variations and Variability(Contd.)
3.125 Variations and Variability(Contd.) 00:54
3.126 Capability and Process Conditions 01:03
3.127 Summary 00:10
3.128 Data Distributions 00:13
3.129 Agenda 00:33
3.130 Permutations and Combinations 01:19
3.131 Permutations and Combinations(Contd.) 01:05
3.132 Frequency and Cumulative Distributions 00:56
3.133 Binomial Distribution 00:55
3.134 Binomial Distribution(Contd.) 01:29
3.135 Binomial Distribution(Contd.) 00:35
3.136 Binomial Distribution(Contd.) 00:40
3.137 Poisson Distribution 01:22
3.138 Poisson Distribution(Contd.) 00:54
3.139 Poisson Distribution(Contd.) 01:03
3.140 Normal Distribution 00:49
3.141 Normal Distribution(Contd.) 00:58
3.142 Exponential Distribution 00:41
3.143 Exponential Distribution 01:13
3.144 Summary 00:23
3.145 Sigma Shift Mean Shift and Reducing Variations 00:08
3.146 Agenda 00:12
3.147 Sigma Shift 01:00
3.148 Mean Shift or Reducing Variations 01:19
3.149 Mean Shift or Reducing Variations(Contd.) 00:48
3.150 Baseline Data 00:28
3.151 Summary 00:11
3.152 Measure Phase Summary 00:49
3.153 Measure Activity Summary 00:34
3.154 Measure Tools Summary 00:46
3.155 Quiz
3.156 Thank You 00:03
Section 04 - Analyze 1:57:16
4.1 Welcome 00:11
4.2 Analyze 00:19
4.3 Agenda 01:59
4.4 Lesson 1 Pre Analyze Considerations 00:16
4.5 Agenda 00:28
4.6 Analyze Phase Introduction 00:18
4.7 Pre Analyze Considerations 01:04
4.8 Pre Analyze Considerations(Contd.) 00:39
4.9 Objectives of Analyze 00:55
4.10 Visually Displaying Data 01:58
4.11 Summary 00:34
4.12 Lesson 2 Value Stream Analysis 00:18
4.13 Agenda 00:26
4.14 Value Waste and NVA Activities 01:14
4.15 What is a Value Stream 01:25
4.16 Value Stream Example 01:09
4.17 Value Stream Analysis Muda 01:08
4.18 Value Stream Analysis Muda(Contd.) 01:31
4.19 Value Stream Map 00:16
4.20 Value Stream Map(Contd.) 01:18
4.21 Spaghetti Charts 01:21
4.22 Spaghetti Chart As Is 00:21
4.23 Spaghetti Chart Should Be 00:27
4.24 Spaghetti Charts(Contd.) 00:32
4.25 Summary 00:17
4.26 Lesson 3 Sources of Variation 00:07
4.27 Agenda 00:27
4.28 Sources of Variation 02:01
4.29 Sources of Variation(Contd.) 01:05
4.30 Cause and Effect Diagram 01:23
4.31 Cause and Effect Diagram(Contd.) 00:31
4.32 Cause and Effect Diagram(Contd.) 00:49
4.33 Cause and Effect Diagram(Contd.) 00:14
4.34 Affinity Diagram 01:35
4.35 Box Plot 01:16
4.36 Box Plot(Contd.) 00:17
4.37 Box Plot(Contd.) 00:28
4.38 Box Plot(Contd.) 01:09
4.39 Box Plot(Contd.) 00:21
4.40 Summary 00:24
4.41 Lesson 4 Regression 00:15
4.42 Agenda 00:31
4.43 Objectives of Regression Analysis 01:05
4.44 Concepts of Regression Analysis 01:17
4.45 Concepts of Regression Analysis(Contd.) 01:17
4.46 Simple Linear Regression 01:14
4.47 Simple Linear Regression(Contd.) 00:25
4.48 Simple Linear Regression(Contd.) 01:48
4.49 Simple Linear Regression(Contd.) 00:53
4.50 Simple Linear Regression(Contd.) 00:31
4.51 Simple Linear Regression(Contd.) 01:13
4.52 Multiple Linear Regression 01:05
4.53 Multiple Linear Regression(Contd.) 00:22
4.54 Multiple Linear Regression(Contd.) 01:53
4.55 Multiple Linear Regression(Contd.) 02:05
4.56 Multiple Linear Regression(Contd.) 00:30
4.57 Multiple Linear Regression(Contd.) 01:41
4.58 Multiple Linear Regression(Contd.) 00:50
4.59 Multiple Linear Regression(Contd.).mp4 01:16
4.60 Multiple Linear Regression(Contd.) 00:52
4.61 Best Subsets Regression and Stepwise Regression 01:03
4.62 Summary 00:26
4.63 Lesson 5 Confidence Intervals 00:12
4.64 Agenda 00:40
4.65 Concepts of Confidence Intervals and Confidence Intervals Testing 01:16
4.66 Concepts of Confidence Intervals and Confidence Intervals Testing(Contd.) 00:46
4.67 Concepts of Confidence Intervals and Confidence Intervals Testing(Contd.) 01:11
4.68 Concepts of Confidence Intervals and Confidence Intervals Testing(Contd.) 00:54
4.69 Confidence Intervals for Difference between Two Means 00:44
4.70 Confidence Intervals Working 01:33
4.71 Confidence Intervals Working(Contd.) 01:26
4.72 Confidence Intervals Impactors 01:14
4.73 Chi Square Confidence Intervals for Variances 00:33
4.74 Chi-Square Confidence Intervals for Variances(Contd.) 01:00
4.75 Z Confidence Intervals for Proportions 01:02
4.76 Chi Square and Probability 01:07
4.77 T Distribution Confidence Intervals 01:12
4.78 Summary 00:30
4.79 Lesson 5 Parametric Hypothesis Testing 00:16
4.80 Agenda 00:42
4.81 Agenda(Contd.) 00:31
4.82 Hypothesis Testing Objective 00:55
4.83 Hypothesis Testing Concepts 00:35
4.84 Null and Alternate Hypothesis 00:56
4.85 Type 1 Error 01:07
4.86 Type II Error 01:10
4.87 Significance Level (α) 00:56
4.88 Significance Level (α) (Contd.) 00:52
4.89 Type II Error (Contd.) 01:02
4.90 β and Power 00:58
4.91 P Value, and Acceptance and Rejection Conditions 00:52
4.92 Sample Size Determination for Tests 00:54
4.93 1 Sample z Test 00:55
4.94 1 Sample z Test(Contd.) 00:48
4.95 1 Sample z Test(Contd.) 00:52
4.96 2 Sample z test 00:54
4.97 f Test of Equality of Variances 00:47
4.98 1 Sample t Test 00:53
4.99 1 Sample t Test(Contd.) 00:32
4.100 2 Sample t Test 01:03
4.101 2 Sample t Test 00:30
4.102 2 Sample t Test 00:56
4.103 Paired t Test 00:37
4.104 Paired t Test(Contd.) 00:07
4.105 Paired t Test Interpretation 00:57
4.106 Paired t Test(Contd.) 00:28
4.107 Paired t Test(Contd.) 00:42
4.108 ANOVA 00:49
4.109 One Way ANOVA 00:35
4.110 Two Way ANOVA with Replication 00:44
4.111 Two Way ANOVA with Replication(Contd.) 00:23
4.112 Two Way ANOVA with Replication(Contd.) 00:11
4.113 Two Way ANOVA with Replication(Contd.) 01:06
4.114 Summary 00:53
4.115 Lesson 7 Nonparametric Hypothesis Testing 00:16
4.116 Agenda 00:32
4.117 Nonparametric Testing Conditions 02:03
4.118 Mann Whitney Test 00:51
4.119 Mann Whitney Test(Contd.) 00:58
4.120 1 Sample Sign 00:53
4.121 Wilcoxon Sign Rank Test 01:08
4.122 Kruskal Wallis 01:10
4.123 MoodÂ’s Median 01:25
4.124 Friedman ANOVA 00:57
4.125 Friedman ANOVA(Contd.) 00:53
4.126 Summary 01:10
4.127 Lesson 8 Analyze Additionals Categorical Data and Current Reality Tree 00:20
4.128 Agenda 00:19
4.129 Categorical Data Analysis 00:47
4.130 Categorical Data Analysis(Contd.) 00:36
4.131 Categorical Data Analysis(Contd.) 01:05
4.132 Categorical Data Analysis(Contd.) 00:48
4.133 Current Reality Tree 00:55
4.134 Current Reality Tree(Contd.) 00:13
4.135 Summary 00:31
4.136 Activity Summary Analyze 00:49
4.137 Tools Summary Analyze 00:40
4.138 Quiz
4.139 Thank You 00:06
Section 05 - Improve 1:56:21
5.1 Welcome 00:07
5.2 Section V Improve 00:30
5.3 Agenda 00:35
5.4 Section V Lesson 1 00:13
5.5 Agenda 00:46
5.6 Pre Improve Considerations 01:01
5.7 Model Adequacy Checking 00:56
5.8 Model Adequacy Checking(Contd.) 01:18
5.9 Model Adequacy Checking(Contd.) 00:52
5.10 Multi Vari Charts 01:00
5.11 7M Tools 02:11
5.12 Activity Network Diagram 01:19
5.13 Point and Interval Estimation 01:07
5.14 Porter s Five Forces 00:55
5.15 Porter s Five Forces (Contd.) 01:43
5.16 Pugh Analysis 01:20
5.17 Lean 5S 01:46
5.18 Summary 00:29
5.19 Section V Lesson 2 Design of Experiments Theory 00:10
5.20 Agenda 00:27
5.21 Introduction to DOE 01:08
5.22 Introduction to DOE(Contd.) 00:56
5.23 Introduction to DOE(Contd.) 00:47
5.24 Introduction to DOE(Contd.) 01:32
5.25 Introduction to DOE(Contd.) 00:52
5.26 Introduction to DOE(Contd.) 01:15
