﻿ Green Belt Contents       # Contents of Green Belt Edition.

1  INTRODUCTION 2

2  MINITAB BOOT CAMP 6

2.1 The Initial layout.

2.2 Working Alongside the Text.

2.3 Opening a File.

2.4 Importing Data from an Excel Spreadsheet.

2.5 Navigating within the Main Window.

2.6 Column Formats.

2.7 Sending Minitab Outputs to Microsoft Office Programs

2.8 File Security

3  DATA MANIPULATION

3.1  Introduction to Data Manipulation

3.2  Split a Worksheet

3.3  Using Code

3.4  Subsetting the Worksheet

3.5  Extract numeric data from a cell with Date/Time format

3.6  Using the calculator

3.7  Assigning a Function

3.8  Setting the Decimal Places & Rounding Values

3.9  Deleting data

3.10  Conditional Formatting

3.11 Using the Command Line to Execute Historical Commands

4  GENERATING GRAPHS

4.1  Introduction to Generating Graphs

4.2  Boxplots and the Menu System

4.3  Editing Graphs

4.4  Duplicating Graphs

4.5  The Individual Value Plot

4.6  The Dot Plot

4.7  The Bar Chart

4.8  Changing the Order on a Categorical Axis

4.9  The Time Series Plots

4.10 The Pareto Plot

4.11 The Scatter Plot

4.12 The Marginal Plot

4.13 The Bubble Plot

5  CORE STATISTICS

5.1  Introduction.

5.2  Types of Data

5.3  Measuring the Centre of a Data Sample

5.4  Measuring the Variation of a Data Sample

5.5  Populations and Samples

5.6  Confidence Intervals

5.7  The Normal Distribution

5.8  The Central Limit Theorem

6  AN OVERVIEW OF HYPOTHESIS TESTING

6.1  What is Hypothesis Testing.

6.2  Understanding the Procedure

7  HYPOTHESIS TESTING

7.1  Introduction to Hypothesis Testing.

Tests Comparing One Sample to a Target

7.2  1 Sample T

7.3  1 Sample StDev

7.4  1 Sample % Defective

7.5  Chi-Square Goodness of Fit

Tests Comparing Two Samples with Each Other

7.6  2 Sample T

7.7  Paired T

7.8  2 Sample StDev

Tests Capable of Comparing more than Two Samples

7.9  Chi-Square % Defective

7.10  Chi-Square Test for Association

7.11  Hypothesis Testing Exercises

8  ANOVA

8.1  Introduction to ANOVA

8.2  The theory behind ANOVA

8.3  One-Way ANOVA

8.4  StDev Test using the Assistant

8.5  ANOVA General Liner model  (GLM)

8.6  GLM examples

8.7  ANOVA Exercises

9  CONTROL CHARTS

9.1  Introduction to Control Charts

9.2  When should we use Control Charts

9.3  False Alarms

9.4  Subgrouping

9.5  Subgroup Size and Sampling Frequency

9.6  Detection Rules used for Special Cause Variation

9.7  Control Chart Selection for Continuous Data

9.8  I-MR Chart

9.9  Xbar-R Chart

9.10  Xbar-S Chart

9.11  Control Charts for Attribute Data

9.12  Control Chart Exercise

10  PROCESS CAPABILITY

10.1  Simple Process Yield Metrics

10.2  Introduction to Process Capability

10.3  Basic Process Capability.

10.4  Z Scores

10.5  Sigma Shift

10.6  Off-Centre Distributions

10.7 Within Capability and Overall Capability

10.8 Normality

10.9 Summary of Process Capability

10.10 Process Capability for Continuous Data

10.11 Process Capability for Attribute Data

10.12 Process Capability Exercise 1

11 Evaluation of Measurement Systems

11.1  What is Measurement System Analysis (MSA)

11.2  Why MSA fundamental to DMAIC

11.3  When to Apply MSA

11.4  What we Cover

11.5  Types of  Measurement Error

11.6  Accuracy Errors

11.7  Precision Errors

11.8  A Breakdown of Measurement Errors

11.9  Gage R&R Introduction

11.10  Gage R&R Crossed

11.11  Attribute Agreement Analysis within the Assistant

11.12  MSA Exercises

12  Regression 187

12.1  What is Regression?

12.2  What are we covering?

12.3  Simple Regression

12.4  Introduction to Multiple Regression

12.5  Multi-Collinearity and Variance Inflation Factors

12.6  Multiple Regression using the Assistant

12.7  Regression Exercises

13  Design of Experiments

13.1  What is Design of Experiments

13.2  DOE Terminology

13.3  The DOE flowchart in the Assistant

13.4  DOE Considerations

13.5  Sequential DOE Bacterial Growth Example

13.6  Sequential DOE Fuel Efficiency Example

13.7  Sequential DOE Exercise   