Practice Exam
JMP Design and Analysis of Experiments Using JMP 14

JMP Design and Analysis of Experiments Using JMP 14

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JMP Design and Analysis of Experiments Using JMP 14

JMP Design and Analysis of Experiments Using JMP 14 exam check the understanding of the candidate to determine and choose the appropriate criteria to yield optimal designs, augment existing designs of experiments, and analyze various experiment designs including classic response surface, blocked and split-plot.

 

Course Outline 

The important domains that the JMP Design and Analysis of Experiments Using JMP 14 covers are: 

  • Create a DOE Plan - 40%
  • Data Collection – 15%
  • Analysis - 30%
  • Create the next Experiment - 15%

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JMP Design and Analysis of Experiments Using JMP 14 FAQs

Those who are interested in obtaining the JMP Design and Analysis of Experiments certification.

The exam number of the JMP Design and Analysis of Experiments is A00-909.

The candidate will be given a period of 150 minutes to complete their exam.

The examination fee of the JMP Design and Analysis of Experiments is $180.00 (USD).

The questions of the JMP Design and Analysis of Experiments exam are available in the form of multiple choice.

At Testpreptraining you will get a Unique set of questions shuffled with different levels which will help you check your skills and weak areas. Doing these questions will increase your knowledge to score better in the exam.

Yes, you will be given access to the practice sets which will be available once you have registered for the course.

The passing marks for the JMP Design and Analysis of Experiments are 725; uses a score range from 200 to 1,000 points.

Testpreptraining gives you the option to take the free practice test with different and unique questions before purchasing the complete test.

JMP Design and Analysis of Experiments Using JMP 14 exam check the understanding of the candidate to determine and choose the appropriate criteria to yield optimal designs, augment existing designs of experiments, and analyze various experiment designs including classic response surface, blocked and split-plot.