2-level full factorial design Course
$175.00
- Course Overview
- Course Structure
- Learning Objectives
- What’s Included
- What Sets Us Apart
- Reviews & Testimonials
- Job Opportunities
- Certification
- FAQs
- Reviews (0)
Course Overview
This course focuses on full factorial design methods, where all factor combinations are tested to fully understand main effects and interactions. It builds a strong foundation in experimental design by covering effect estimation, interaction behavior, orthogonality, and statistical interpretation using regression-based analysis. The included course structure shows that learners will also work through graphical tools and DOE Pro XL examples to reinforce practical application.
What You Will Learn in This Course
You will learn how to design and analyze experiments such as a 2² factorial design example, 2³ factorial design example, and more advanced cases like full factorial design with 3 factors and 3 levels. The course also helps clarify when full factorial designs are preferred over fractional factorial designs and how to interpret results with confidence.
Who This Course Is For
This course is ideal for engineers, analysts, and Six Sigma professionals who need a structured way to evaluate multiple variables simultaneously. It is also suitable for those searching for a 2 level full factorial design course online that connects theory with hands-on Excel-based analysis.
Contact us to Learn more
1.800.748.1277 | info@airacad.com
Course Structure
- What is a full factorial design?
- Advantages and disadvantages of full factorials
- Estimating effects and the meaning of interaction
- Orthogonality and coding of design matrices
- Graphical analysis of results (marginal means plots, interaction plots, Pareto of effects, surface/contour plots)
- Statistical analysis of results (regression, p-values, R2 and Adjusted R2)
- Prediction and optimization
- Examples of Full Factorial designs and analysis using DOE Pro software
Learning Objectives
By the End of This Course, You Should Be Able To:
- Explain what a full factorial design is and when to use it
- Build and analyze a 2² and 2³ factorial design example
- Understand the difference between full factorial design and fractional factorial design
- Estimate main effects and interaction effects accurately
- Interpret interaction plots, marginal means plots, and Pareto charts
- Apply orthogonality and coding of design matrices
- Perform regression analysis including p-values, R², and adjusted R²
- Use graphical tools such as contour plots and surface plots for interpretation
- Predict outcomes and optimize factor settings
- Apply full factorial design example workflows using DOE Pro XL in Excel
What’s Included
DOE PRO XL DEMO
DOE PRO is an advanced Design of Experiments package with multiple response capability and advanced analysis and optimization features. Create designs, analyze designs using multiple regression, plot results, optimize and predict, all from within Microsoft Excel.
DOE Pro XL integrates into Excel to speed up your data analysis workflow. Instead of copying and pasting your data into another application, with DOE Pro XL you can store, analyze, and present your results within Excel.
What Sets Us Apart
Built on Proven DOE and Six Sigma Expertise
Air Academy Associates delivers training grounded in real-world application across Lean Six Sigma, Design of Experiments, and performance improvement. This course is not isolated theory—it connects full factorial design directly to process improvement and data-driven decision-making.
Complete Understanding of Interactions and Effects
Unlike simplified screening approaches, this course emphasizes full factorial experimentation where all combinations are tested. Learners gain a deeper understanding of interactions, which is especially valuable when working with multi-level full factorial designs, such as 2-factor 3-level and 3-factor 3-level experiments.
Excel-Based Learning With DOE Pro XL
The course includes DOE Pro XL, allowing you to design experiments, run regression analysis, visualize results, and optimize processes directly in Excel. This eliminates the need for complex standalone tools and aligns with how most professionals already work.
Designed for Immediate Application
The course structure includes graphical analysis, statistical modeling, and optimization, ensuring that learners can apply concepts right away. From interpreting a 2² factorial design example to building and analyzing full factorial studies in Excel, the focus remains practical.
Part of a Complete Lean Six Sigma Training Path
This course aligns with a Lean Six Sigma Training and Certification company framework and supports professionals progressing through Lean Six Sigma White Belt, Lean Six Sigma Yellow Belt, Lean Six Sigma Green Belt and Lean Six Sigma Black Belt programs. It strengthens experimental design capability within continuous improvement initiatives.
Reviews & Testimonials
Job Opportunities
Roles that benefit from this course:
- Quality Engineer
- Process Engineer
- Manufacturing Engineer
- R&D Engineer
- Industrial Engineer
- Data Analyst (technical/engineering focus)
- Six Sigma Green Belt or Black Belt
- Continuous Improvement Specialist
- Product Development Engineer
How This Skill Helps
Full factorial design skills allow professionals to fully understand cause-and-effect relationships across multiple variables. This leads to better process optimization, stronger product performance, and more reliable decision-making across industries such as manufacturing, healthcare, aerospace, and technology.
Search our job board to find what opportunities might be available to you.
Certification
This course is eligible for CEUs and PDUs. It can also support broader professional development within Air Academy’s Lean Six Sigma and DOE training pathways.
Contact us to Learn more
1.800.748.1277 | info@airacad.com
FAQs
What is a full factorial design?
A full factorial design is an experiment where all possible combinations of factors and levels are tested. This allows complete estimation of main effects and interactions.
What is a 2² factorial design example?
A 2² factorial design includes two factors, each at two levels, resulting in four experimental runs. It is one of the most common introductory designs used in DOE.
What is the difference between full factorial design and fractional factorial design?
Full factorial design tests all combinations, while fractional factorial design uses a subset of runs to reduce effort. Full designs provide complete interaction information, while fractional designs are typically used for screening.
Does this course include practical examples?
Yes. The course includes examples of full factorial design and analysis using DOE Pro XL, along with graphical and statistical interpretation methods.
Is this course suitable for beginners?
Yes. The course starts with foundational concepts and builds toward analysis and optimization, making it suitable for both new and experienced professionals.
Can I apply this in Excel?
Yes. DOE Pro XL integrates directly with Excel, allowing you to design experiments, analyze results, and visualize outputs without leaving your workflow.
Does this course cover multi-level designs?
Yes. While focused on 2-level designs, the course also helps you understand extensions such as full factorial design with 3 levels and how they compare.
Related products
If you are looking to train your team, contact the Air Academy team for group pricing.
1.800.748.1277
info@airacad.com
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