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SASInstitute A00-910 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Statistical Thinking and Problem Solving | 10% | - Create process maps and SIPOC diagrams - Identify root causes and plan data collection - Define statistical thinking and problem-solving process |
| Topic 2: Decision Making with Data | 15% | - Sample size determination - Hypothesis testing - Statistical intervals and confidence levels |
| Topic 3: Design of Experiments | 10% | - Analysis and interpretation of results - DOE concepts vs. One-Factor-at-a-Time - Experiment planning and execution |
| Topic 4: Predictive Modeling and Text Mining | 5% | - Model validation and interpretation - Explanatory vs predictive modeling |
| Topic 5: Quality Methods | 20% | - Process capability assessment - Statistical Process Control (SPC) charts - Measurement System Analysis (MSA) |
| Topic 6: Correlation and Regression | 20% | - Multiple linear regression - Correlation analysis - Logistic regression - Simple linear regression |
| Topic 7: Exploratory Data Analysis | 20% | - Descriptive statistics and graphical summaries - Data preparation and cleaning - Data visualization and exploration |
