Design of Experiments

  1. Software Tools and Implementation
    1. Statistical Software Overview
      1. R and R Packages
        1. SAS JMP
          1. Minitab
            1. Design-Expert
              1. Python Libraries
              2. Design Generation
                1. Creating Experimental Designs
                  1. Randomization Procedures
                    1. Design Evaluation
                      1. Design Modification
                      2. Data Analysis Implementation
                        1. Data Import and Management
                          1. Statistical Analysis Procedures
                            1. Model Fitting and Selection
                              1. Diagnostic Procedures
                              2. Visualization and Reporting
                                1. Statistical Graphics
                                  1. Response Surface Plots
                                    1. Interaction Plots
                                      1. Report Generation
                                        1. Results Export

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                                      11. Statistical Analysis and Model Building

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                                      13. Quality Control and Best Practices