Will able to use Minitab 17 for conducting the advanced level of statistical analysis Will help you in understanding statistics to pass certification exams such as ASQ-CQA, CQE, SSGB, SSBB and many more. Will be able to perform complex statistical analysis. Willingness to learn A part of this course on the use of Minitab 17. You will need to have the software to practice. Please note that you can 30 days trial version of this software from Minitab website By completing this course, you will have a solid understanding of the most commonly used statistical concepts in Six Sigma, and you will also be able to apply those using Minitab software. The course is not limited to Minitab software. It first explains the statistical concept and then shows how to implement it using Minitab.Why this course?Start your Six Sigma learning with an experienced instructor having 35 years of practical experience in implementing Quality Management and Continuous Performance Improvement.Here is a summary of the topics covered in this course. Learn statistics in plain and simple terms, from basics to advanced concepts.Learn to perform statistical analysis using Minitab 17 software for your Six Sigma Green / Black Belt projects.A wide range of topics is covered, starting from the basics to advanced topics such as Measurement System Analysis (MSA), Gage R&R, Hypothesis Testing, ANOVA and Design of Expents.You will learn the statistical analysis for your Six Sigma projects using Minitab 17 through short and easy-to-understand video lessons and quizzes. A discussion forum on the right side of this course would be used to discuss specific problems and issues. Even though Minitab software has been updated a few s since the release of this course, the concepts explained here can still be applied in the latest version of Minitab.What are other students saying about this course?Easy to understand and hands-on exercises. (5 stars by Forest SL Zhang)I highly recommend it if you want to improve your analysis skill on Minitab 17. Probably is the most complete course about it on Udemy. (5 stars by Marcos de Morais Silva)This helped me to get my statistics concepts cleared from the basics! Also, This assisted me to learn various concepts related to MINITAB software. (5 stars by Vishwesh Kumar Jha)I'd recommend this course to anybody aspiring for Lean Six Sigma Green Belt or Black Belt. (5 stars by Matt Rold)Steady Paced & Interactive Course Content. (5 stars by Shashank Dubey)What are you waiting for?This course comes with Udemy's 30 days money-back guarantee. If you are not satisfied with the course, get your money back.I hope to see you in the course. Section 1: Welcome and Introduction Lecture 1 Welcome to the course Lecture 2 your free copy of Minitab 17 Section 2: Statistics Basics Lecture 3 Descriptive and Inferential Statistics Section 3: Minitab 17 Basics Lecture 4 Section Introduction - Minitab Basics Lecture 5 Minitab 17 Introduction Lecture 6 Minitab 17 Data Types Lecture 7 Minitab 17 Row Statistics Lecture 8 Minitab 17 Column Statistics Lecture 9 Minitab 17 Ranking and Sorting Data Section 4: Minitab 17 Graphs Lecture 10 Section Introduction - Graphs Lecture 11 Box Plot Lecture 12 Pareto Chart Lecture 13 Individual Value Plot Lecture 14 Bar Chart Lecture 15 Pie Chart Lecture 16 Graphical Analysis Assistant Section 5: Descriptive Statistics Using Minitab Lecture 17 Section Introduction - Descriptive Statistics Lecture 18 Descriptive Statistics Lecture 19 Descriptive Statistics and Histogram Using Minitab Section 6: Probability - Understanding the basic concepts Lecture 20 Section Introduction - Probability Lecture 21 Why to learn about probability? Lecture 22 Defining probability Lecture 23 Probability related terms Lecture 24 Union and intersections Lecture 25 Mutually Exclusive, Independent and Complementary Events Lecture 26 Maal, Union and Joint Probabilities Lecture 27 Addition laws Lecture 28 Multiplication laws Lecture 29 Permutations and Combinations Section 7: Probability Distributions Lecture 30 Section Introduction - Probability Distributions Lecture 31 Continuous vs Discrete Variables Lecture 32 Continuous vs Discrete Probability Distributions Lecture 33 Understanding Normal Distribution Lecture 34 Normality Test in Minitab Lecture 35 Normal Distribution examples using Minitab Lecture 36 Understanding Binomial Distribution Lecture 37 Binomial Distribution Using Minitab Lecture 38 Understanding Poisson Distribution Lecture 39 Poisson Distribution Using Minitab Section 8: Process Capability Lecture 40 Section Introduction - Process Capability Lecture 41 Process Capability Explained Lecture 42 Calculating Process Capability Lecture 43 Process performance indices Lecture 44 Calculating Process Capability Using Minitab Section 9: Measurement System Analysis Lecture 45 Section Introduction - Measurement System Analysis Lecture 46 Measurement System Analysis - Introduction Lecture 47 Measurement System Analysis - Resolution Lecture 48 Accuracy vs Precision Lecture 49 Accuracy vs Precision - Graphically Explained Lecture 50 Accuracy - Bias, Linearity and Stability Lecture 51 Precision - Repeatability and Reproducibility Lecture 52 Why to do a Gage R&R Study? Lecture 53 Crossed vs Nested Gage R&R Study Lecture 54 Gage R&R Study Using Minitab Lecture 55 Gage R&R Study Using Minitab - X bar R Method Section 10: Correlation Regression Lecture 56 Section Introduction - Correlation Regression Lecture 57 Correlation Regression Explained Lecture 58 Drawing a Scatter Diagram Lecture 59 Drawing a Scatter Diagram Using Minitab Lecture 60 Calculating Correlation Cooefficient Lecture 61 Calculating Correlation Cooefficient Using Minitab Lecture 62 Regression Equation Lecture 63 Regression Equation Using Minitab Section 11: Control Charts Lecture 64 Section Introduction - Control Charts Lecture 65 Types of Control Charts Lecture 66 X Bar R Chart Lecture 67 p, np, c and u Control Charts Lecture 68 Control Charts - Interpreting Special Causes Lecture 69 X Bar R Chart - Using Minitab Lecture 70 X Bar s Chart - Using Minitab Lecture 71 np Chart - Using Minitab Lecture 72 p Chart - Using Minitab Lecture 73 c Chart - Using Minitab Lecture 74 u Chart - Using Minitab Section 12: Hypothesis Testing Lecture 75 Section Introduction - Hypothesis Testing Lecture 76 Hypothesis Testing Introduction Lecture 77 Hypothesis Testing - Null and Alternate Hypothesis Lecture 78 Hypothesis Testing - Level of Confidence and Significance Lecture 79 Hypothesis Tests - Type I and Type II Errors Lecture 80 Hypothesis Testing - Types of Errors Lecture 81 Conducting a Z Test Lecture 82 Conducting a Z Test Using Minitab Lecture 83 Conducting a t-Test Lecture 84 Conducting a t-Test Using Minitab Lecture 85 One More Example of One Sample t Test Using Minitab Lecture 86 Conducting Two Sample t-Test Using Minitab Section 13: ANOVA and Design of Expents Lecture 87 Section Introduction - ANOVA and DoE Lecture 88 ANOVA Lecture 89 Conducting ANOVA test using Minitab Lecture 90 Design of Expents Lecture 91 Analyzing a 2 Factor 2 Level Expent in Minitab Lecture 92 Analyzing a 3 Factor 2 Level Expent in Minitab Section 14: End of Course Lecture 93 Thanks Lecture 94 BONUS LECTURE Quality Managers,Supervisors, Managers and professionals who want to implement Six Sigma process within an organization.,Business Managers who want to understand what numbers are telling,Six Sigma Black Belts,Six Sigma Green Belts HomePage:
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