Blended Learning Paths Outline

Quality Trainer - Part of The Minitab Education Hub

A comprehensive statistics course brought to you by experts in quality improvement.

Quality Trainer was developed by seasoned statisticians with more than 150 years of industry experience. The Learning Paths guide you through over 35 exercises using Minitab Statistical Software to solve real-world quality improvement challenges.

Learning Path 1: Foundations of Data Analysis

Descriptive Statistics and Graphical Analysis
  • Types of Data
  • Using Graphs to Analyze Data
  • Using Statistics to Analyze Data
Analysis of Variance (ANOVA)
  • Fundamentals of ANOVA
  • One-Way ANOVA
  • Two-Way ANOVA
Statistical Inference
  • Fundamentals of Statistical Inference
  • Sampling Distributions
  • Normal Distribution
Correlation and Regression
  • Relationship Between Two Quantitative Variables
  • Simple Regression
Hypothesis Tests and Confidence Intervals
  • Tests and Confidence Intervals
  • 1-Sample t-Test
  • 2 Variances Test
  • 2-Sample t-Test
  • Paired t-Test
  • 1 Proportion Test
  • 2 Proportions Test
  • Chi-Square Test
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Learning Path 2: Statistical Quality Analysis

Control Charts
  • Statistical Process Control
  • Control Charts for Variables Data in Subgroups
  • Control Charts for Individual Observations
  • Control Charts for Attributes Data
Measurement Systems Analysis
  • Fundamentals of Measurement Systems Analysis
  • Repeatability and Reproducibility
  • Graphical Analysis of a Gage R&R Study
  • Variation
  • ANOVA with a Gage R&R Study
  • Gage Linearity and Bias Study
  • Attribute Agreement Analysis
Process Capability
  • Process Capability for Normal Data
  • Capability Indices
  • Process Capability for Nonnormal Data
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Learning Path 3: Design of Experiments

Analysis of Variance (ANOVA)
  • Fundamentals of ANOVA
  • One-Way ANOVA
  • Two-Way ANOVA
Design of Experiments
  • Factorial Designs
  • Blocking and Incorporating Center Points
  • Fractional Factorial Designs
  • Response Optimization
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Learning Path 4: Predictive Analytics

Correlation and Regression
  • Relationship Between Two Quantitative Variables
  • Simple Regression
Multiple Regression
  • Relationships Between Multiple Quantitative Variables
  • Multiple Regression
  • Polynomial and Interacting Terms
  • Model Selection
  • Binary Logistic Regression
Predictive Analytics
  • Predictive Analytics
  • Model Validation
  • Tree Based Methods
  • CART Classification Trees
  • CART Regression Trees
  • MARS Regression
  • Random Forests Classification
  • TreeNet Regression
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