Introduction

• Getting Started: Introductions
  
  
• Key Outcomes
  
  
• Agenda Review
  
  
• Course Objectives

Overview of Statistics

• Statistics, Variation, Sampling
  
  
• Hypothesis Testing Overview
  • Null and alternative hypothesis
  • Probability of Error: Alpha and Beta
  • p value
    
    
• Correlation and Regression

Introduction to Minitab

• Minitab Layout and Menus
  
  
• Toolbars
  
  
• Basic Tools and Graphs

Measure

• Interpreting Distributions
  • Measure of shape, center and spread
  • Manual calculation of "center"
    
    Activity: Coin drop exercise (10 min)
    
    
• Use of Excel for “Percentile Range” Calculation
  
  Activity: Follow-along exercise – Pizza Delivery Cycle Time
  
  
• Normality
  
  
• Use of Minitab's "Descriptive Statistics" function
  
  Activity: Follow-along exercise – Is my data normal?
  
  
• Sampling (Review)
  • Process versus population
  • Population samples: continuous and discrete data
    
    Activity: Manually calculate population sample size (10 min)
    
    
• Power Analysis
  • Alpha and Beta
  • Use of Minitab for more sophisticated power calculations
    
    Activity: Calculating Population Sample Size (10 min)
    
    
• Process Sampling Techniques
  • Minimum sample size
  • Rational sub-grouping
    
    Activity: Manually calculating process sample size (10 min)
    
    
• Measurement System Analysis
  • Repeatability, reproducibility, stability and linearity
  • Testing for repeatability and reproducibility (R&R)
    
    
• Gage R&R – continuous data
  
  Activity: Gage R&R -(15 min)
  
  Activity: Gage R&R Display – Water Measurements (40 min)
  
  
• Discrete Data Analysis (aka Attribute R&R)
  
  Activity: Discrete Data Analysis using M&M's (30 min)
  
  
• Testing for Normality
  
  
• Tools that Require Normality
  
  
• Ways to Analyze Distributions
  
  Activity: Follow-along activity – Normal Probability Plots and Descriptive Statistics (20 min)
  
  
• Transformation of Data
  • Example: Testing for normality and using transforms
    
    Activity: Testing for normality and using transforms (15 min)
    
    
• Process Capability and Sigma
  • The Normal Distribution revisited – standard deviation and Z
  • Process Capability & Z Scores (continuous data)
    
    Activity: Follow-along activity – Calculating Z and Probabilities
    (15 min)
    
    
  • Process Capability & Z Scores (continuous data)
    
    Activity: Process Capability and Z Scores (continuous data) (20 min)
    
    
  • Long- and short-term Process Capability ("1.5 Sigma Shift")
  • Understanding the enhanced sigma table
  • Options for calculating sigma from DPMO (Defects per Million Opportunities)

Analyze

• Principles of Advanced Analysis
  • Overview of hypothesis testing
    
    
• When to Use the Different Tests – Test Selection Process Map
  
  
• Hypothesis Test (all hypothesis test discussions include a follow-along activity first...)
  
  
• Chi-Square test, with follow-along example
  
  Activity: Chi-square calculations - manual and Minitab (15 min each)
  
  
• T-test, with follow-along example
  
  Activity: t-test calculations (manual, 15 min)
  
  
• Paired t-test, with follow-along example
  
  Activity: Select the right t-test and calculate (Minitab, 15 min)
  
  
• F-Test, with follow-along
  
  Activity: Calculating F (manual or Minitab, 15 min)
  
  
• ANOVA, one-way and two-way, with follow-along
  
  
• Mood's Median test (for non-normal data), with follow-along
  
  
• Hypothesis test review (when to use which test)
  
  Activity: Select the right hypothesis test (15 min)
  
  
• Correlation coefficients and scatter plots
  
  
• Linear regression (with follow-along)
  
  
• Simple linear regression – 1 X and 1 Y -– with follow-along
  
  
• Understanding slope/intercept results and prediction equations
  
  
• Interpreting results and checking assumptions
  
  
• Understanding residuals and residual analysis
  
  
• Using confidence intervals and prediction intervals
  
  Activity: Using Linear Regression Analysis (30 min)
  
  
• Multiple regression analysis (multiple Xs and 1 Y)
  
  
• Checking collinearity (using interaction plots and variance inflation factors – VIFs
  
  
• Iterative calculation (with follow-along)
  
  
• Using multiple regression analysis
  
  Activity: Using multiple regression analysis (30 min)
  
  
• Intro of logistic regression (with follow-along)
  
  Activity: Using Logistic Regression Analysis (2 activities, 60 min total)
  

Improve

• DOE (Design of Experiments)
  • When to Use/Why use
  • Types of designs, factors and levels
  • Disadvantages of “one factor at a time”
  • Full factorial design, 2K factorial example – follow-along full factorial design experiment
    
    Activity: Designing experiments – The Sigma Bubble Co.
    (3 Activities, 65 min total)
    
    
• Case example follow-along – moving damage – interpreting DOE results
  
  
• Interpreting results from bubble experiment
  
  Activity: Interpreting results – The Sigma Bubble Company (30 min)
  
  
• Fractional designs (moving damage case, follow-along)
  
  
• Aliasing (confounding) of factors and interactions
  
  
• Opportunities to use DOE
  
  Activity: DOE Wrap-Up (10 min)
  

Control

• Creating a control plan
  • Linking monitoring & response planning to FMEA
    
    
• Monitoring plan
  • Measurement and Operational Definitions
  • Subgroups and frequency
  • Continuous and attribute data charts
    
    
• Constructing and Interpreting Control Charts
  • Calculating control limits
    
    Activity: Selecting appropriate control charts and manually calculating control limits (25 min)
    
    
• Constructing Control Charts in Minitab
  
  Activity: Follow-along activity – Designing control charts in Minitab (15 min)
  
  
• Interpreting control charts
  
  Activity: Interpreting control charts from Minitab (15 min)
  
  
• Selecting Control Charts
  
  Activity: Selecting control charts (15 min)
  
  
• Response Plans
  
  
• Damage control, process adjustment, assessing effectiveness
  
  Activity: Building a control plan (45 min)
  

Review and Conclusion

Activity: Planning your tools (15 min)