Determine the relationship between factors affecting a process, and the output of a process. In this course you’ll plan a design of experiment, and recognize the experiments variables and how they interact. Basic understanding of statistical methods is needed to complete this course.
- Self-Paced
- System Requirements Register
- Web-Based
- List: $795.00
- Member: $695.00
- Train a Group
- Request Information
- Need to train a group? Save money when you purchase access for more people.
A design of experiment (DOE) is a structured method for determining the relationship between factors affecting a process and the output of that process. Here, you will focus heavily on the scientific and statistical methods involved in planning and analyzing DOEs in order to yield practical results. Some understanding of basic statistical methods will be needed to complete this course.
- Learning Objectives
- Understand the methodology of design of experiments
- Plan a design of experiment
- Explain the importance of each concept used in design of experiments
- Recognize variables in an experiment and how they interact
- Understand how to create and use an analysis of variance (ANOVA) table
- Understand how to conduct and analyze the results of a contrast test
- Identify the advantages, disadvantages, assumptions and hypotheses related to various types of designs, including completely randomized design, completely randomized block design, Latin Square design, and factorial designs
- Analyze the results of designed experiments
- Who Should Attend
Appropriate for both those learners who have not previously studied the subject matter and those learners seeking a refresher course
- More Information
Course Data
- CEU Hours: 3.20
- ASQ RU: 3.20
- Provider: eHigherEducation
- Course ID: DOE01EHE
- Course Length: 32 hours
- You have 182 days to access this course.
- Cancellation Policy
