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SASInstitute A00-910 Exam Syllabus Topics:

SectionWeightObjectives
Design of Experiments10%- Experimental design principles
  • 1. Experiment design and analysis
    • 2. Best practices in experimentation
      • 3. DOE vs OFAT
        Exploratory Data Analysis20%- Descriptive and graphical analysis
        • 1. Descriptive statistics
          • 2. Data preparation and reporting
            • 3. Data visualization and exploration
              Decision Making with Data15%- Statistical inference
              • 1. Confidence intervals
                • 2. Sample size determination
                  • 3. Hypothesis testing
                    Quality Methods20%- Statistical process control and quality analysis
                    • 1. Control charts (SPC)
                      • 2. Measurement System Analysis (MSA)
                        • 3. Process capability analysis
                          Statistical Thinking and Problem Solving10%- Problem definition and process mapping
                          • 1. Root cause identification and data collection
                            • 2. Process mapping and SIPOC
                              • 3. Define statistical thinking
                                Predictive Modeling and Text Mining5%- Predictive modeling fundamentals
                                • 1. Explanatory vs predictive modeling
                                  • 2. Model validation and interpretation
                                    Correlation and Regression20%- Relationship modeling
                                    • 1. Logistic regression
                                      • 2. Correlation analysis
                                        • 3. Simple and multiple linear regression

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