Six Sigma Statistics Using Minitab 17

Learn Basics and Confidently Apply Six Sigma Statistical Concepts To Your Green / Black Belt Projects Using Minitab 17

What you'll learn

Will be able to understand the statistical concepts from basic up to Six Sigma Black Belt level.

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.

Requirements

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 download 30 days trial version of this software from Minitab website

Description

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 Experiments.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 times 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.

Overview

Section 1: Welcome and Introduction

Lecture 1 Welcome to the course

Lecture 2 Download 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 Marginal, 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 Experiments

Lecture 87 Section Introduction - ANOVA and DoE

Lecture 88 ANOVA

Lecture 89 Conducting ANOVA test using Minitab

Lecture 90 Design of Experiments

Lecture 91 Analyzing a 2 Factor 2 Level Experiment in Minitab

Lecture 92 Analyzing a 3 Factor 2 Level Experiment 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