Enroll in all 4 Levels of our instructor-led Minitab classes and save $245. This course package includes:
Minitab Basics (Day 1)
1. Getting Started with Minitab Statistical Software
• 1.1 Opening a New Minitab Project
• 1.2 Loading Data into the Project
• 1.3 Creating a Graph
• 1.4 Calculating Descriptive Statistics
• 1.5 Exploring Relationships between Variables
• 1.6 Brushing Data
• 1.7 Navigating with the Project Manager
• 1.8 Creating a Report
• 1.9 Find Out More
• Quiz
2. Analyzing and Comparing Variables with Graphs
• 2.1 Graphing the Distribution of One Variable
• 2.2 Comparing Distributions of Multiple Variables
• 2.3 Graphs of Quantitative Y Versus Categorical X Variables
• 2.4 Graphing in Three Dimensions
• 2.5 Other Graphs in Minitab
• 2.6 Find Out More
• Quiz
3. Exploring the Minitab Environment
• 3.1 Data Types in Minitab
• 3.2 Working with Excel and Minitab
• 3.3 Minitab Session Commands
• 3.4 Constants, Columns, and Matrices
• 3.5 File Types in Minitab
• 3.6 Menus in Minitab
• 3.7 Toolbars in Minitab
• 3.8 Customizing Minitab
• Quiz
4. Selecting and Using Distribution Models in Minitab
• 4.1 Graphing Probability Mass Functions and Density Functions
• 4.2 Probability and Quantile Calculations
• 4.3 Generating Random Numbers
• 4.4 Selecting a Distribution Model
• 4.5 Selecting a Normalizing Transformation
• 4.6 Meet the Distributions
• 4.7 A Word of Caution
• 4.8 Find Out More
• Quiz
Intro to Statistics with Minitab (Day 2)
5. Making Decisions with Intervals
• 5.1 Confidence, Prediction, and Tolerance Intervals
• 5.2 Calculating Confidence Intervals
• 5.3 Calculating Prediction Intervals
• 5.4 Calculating Tolerance Intervals
• 5.5 Find Out More
• Quiz
6. Testing Hypotheses
• 6.1 Hypothesis Testing Demystified
• 6.2 Using the Hypothesis Tests Assistant
• 6.3 Testing Hypotheses Using the Traditional Menus
• 6.4 Find Out More
• Quiz
8. Fitting Regression Models
• 8.1 Fitting a Polynomial Model
• 8.2 Fitting a Model with Many Predictor Variables
• 8.3 Diagnosing Regression Problems
• 8.4 Fitting Nonlinear Regression Models
• 8.5 Fitting Models with Categorical Response Variables
• 8.6 Find Out More
• Quiz
Analyzing Quality with Minitab (Day 3)
10. Assessing Measurement Systems
• 10.1 Conducting a Simple Gage Study
• 10.2 Setting Up and Analyzing a Crossed Gage R&R Study
• 10.3 Assessing Linearity and Bias
• 10.4 Gage R&R Studies for Destructive Testing
• 10.5 Analyzing More Complex Gage R&R Studies
• 10.6 Analyzing Agreement in Attribute Measurement Systems
• 10.7 Bias and Repeatability of Attribute Measurements
• 10.8 Find Out More
• Quiz
11. Control Charting
• 11.1 Making Decisions with Control Charts
• 11.2 Creating Control Charts for Subgrouped Data
• 11.3 Creating Control Charts for Individual Data
• 11.4 Creating Control Charts for Attribute Data
• 11.5 Find Out More
• Quiz
12. Measuring Process Capability
• 12.1 Capability Metrics
• 12.2 Measuring Capability for Normally Distributed Processes
• 12.3 Measuring Capability for Nonnormal Processes
• 12.4 Measuring Capability for Attributes
• 12.5 Find Out More
• Quiz
13. Acceptance Sampling
• 13.1 Creating and Comparing Attributes Sampling Plans
• 13.2 Acceptance Sampling by Variables
• 13.3 Find Out More
• Quiz
14. Reliability Analysis
• 14.1 Estimating Reliability from Failure Data
• 14.2 Estimating Reliability from Warranty Data
• 14.3 Calculating Sample Sizes for Reliability Tests
• 14.4 Estimating Reliability as a Function of Other Variables
• 14.5 Find Out More
• Quiz
Minitab Design of Experiments (DOE) (Day 4)
9. Minitab Design of Experiments (DOE)
• 9.1 Optimizing a System with DOE
• 9.2 Creating a Design from an Existing File
• 9.3 Analyzing Variation as a Response
• 9.4 Removing the Effects of Extraneous Variables
• 9.5 Planning an Experiment with Many Factors and Few Runs
• 9.6 Experimenting with Hard-to-Change (HTC) Factors
• 9.7 Designing and Analyzing Response Surface Designs
• 9.8 Designing and Analyzing Mixture Designs
• 9.9 Estimating Reliability as a Function of Other Variables
• 9.10 Find Out More