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






