- Exam Code: A00-909
- Exam Name: Design and Analysis of Experiments using JMP 14
- Updated: Sep 11, 2026
- Q & A: 0 Questions and Answers
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| Certification Vendor: | SAS Institute |
|---|---|
| Exam Name: | Design and Analysis of Experiments using JMP 14 |
| Exam Number: | A00-909 |
| Exam Format: | Multiple choice |
| Related Certifications: | Statistical Thinking for Industrial Problem Solving JMP Scripting Using JMP 14 |
| Available Languages: | English |
| Exam Way: | Onsite/On-Demand at Pearson VUE |
| Official Syllabus URL: | https://www.sas.com/en_gb/certification/exam-content-guides/jmp-design-analysis-experiments.html |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Create the next Experiment | 15% | - Augment a design and define replicate, center points, axial, fold over - Conduct verification to determine augmentation need |
| Topic 2: Create a DOE Plan | 40% | - Evaluate design performance for estimation, testing, prediction - Identify and implement factor constraints - Select terms to include in the model - Identify and define factors to vary in the experiment - Create a design with appropriate features - Identify and define critical responses to be measured |
| Topic 3: Analysis | 30% | - Select the best model - Exploit the best model - Use profiler under graph menu for prediction formulas - Fit separate or combined models for multiple responses |
| Topic 4: Data Collection | 15% | - Evaluate measurement system signal to noise ratio - Benefits and impact of randomization - Replication vs multiple measurements - Determine blocking requirements |
SASInstitute Design and Analysis of Experiments using JMP 14 is an official certification exam from SAS Institute, identified by the exam code A00-909. Pass it and you hold the SASInstitute Certification certification, which sits at the Specialist level. It also feeds into related credentials, including JMP Scripting Using JMP 14, Statistical Thinking for Industrial Problem Solving. In practical terms, this certification tells employers your skills have been measured against the vendor's own standard, which is why certified candidates tend to stand out in hiring and promotion decisions.
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The SASInstitute Design and Analysis of Experiments using JMP 14 blueprint spans 4 domains. The ones carrying the most weight include Data Collection (15%), Create the next Experiment (15%), and Analysis (30%). The complete domain-by-domain breakdown is in the exam topics section above; treat it as your master checklist and let the weights tell you where your study hours earn the most.
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