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SASInstitute A00-910 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Statistical Thinking and Problem Solving | 10% | - Identify root causes and plan data collection - Create process maps and SIPOC diagrams - Define statistical thinking and problem-solving process |
| Correlation and Regression | 20% | - Logistic regression - Simple linear regression - Multiple linear regression - Correlation analysis |
| Design of Experiments | 10% | - Analysis and interpretation of results - Experiment planning and execution - DOE concepts vs. One-Factor-at-a-Time |
| Predictive Modeling and Text Mining | 5% | - Explanatory vs predictive modeling - Model validation and interpretation |
| Exploratory Data Analysis | 20% | - Data preparation and cleaning - Descriptive statistics and graphical summaries - Data visualization and exploration |
| Quality Methods | 20% | - Statistical Process Control (SPC) charts - Measurement System Analysis (MSA) - Process capability assessment |
| Decision Making with Data | 15% | - Hypothesis testing - Statistical intervals and confidence levels - Sample size determination |



