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The A00-909 certification exam is divided into two modules: Design of Experiments (DOE) and Analysis of Experiments (AOE). The DOE module covers the principles of experimental design, including factor selection, response selection, and blocking, and emphasizes the creation, testing, and analysis of experimental designs using JMP 14. The AOE module focuses on the analysis of data generated from experimental designs, including hypothesis testing, analysis of variance (ANOVA), pairwise comparisons, multiple comparisons, and regression analysis.
JMP 14 is a widely used software package for designing and analyzing experiments. It offers a range of tools and techniques to help users make sense of complex data sets and draw meaningful conclusions. The SASInstitute A00-909 exam is designed to test an individual's ability to use JMP 14 effectively in a variety of situations. It covers topics such as planning and designing experiments, collecting and analyzing data, and interpreting and presenting results.
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SASInstitute A00-909 certification exam is a highly sought-after certification for professionals who wish to demonstrate their expertise in Design and Analysis of Experiments using JMP 14. Design and Analysis of Experiments using JMP 14 certification exam is designed to test the skills and knowledge of candidates in designing and analyzing experiments using the JMP 14 software. SASInstitute is a leading provider of software solutions for data analytics and the A00-909 certification is a testament to their commitment to providing the best tools for data analysis.
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SASInstitute A00-909 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Analysis | 30% | - Exploit the best model - Select the best model - Use profiler under graph menu for prediction formulas - Fit separate or combined models for multiple responses |
| Create a DOE Plan | 40% | - Evaluate design performance for estimation, testing, prediction - Identify and define critical responses to be measured - Identify and define factors to vary in the experiment - Create a design with appropriate features - Identify and implement factor constraints - Select terms to include in the model |
| Data Collection | 15% | - Evaluate measurement system signal to noise ratio - Determine blocking requirements - Benefits and impact of randomization - Replication vs multiple measurements |
| Create the next Experiment | 15% | - Augment a design and define replicate, center points, axial, fold over - Conduct verification to determine augmentation need |
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