Introduction to Statistical Design of Experiments
(8 PDH)
Product Description
Buffalo dates can be simulcast as a Webinar - Call 877.352.8821 for details
Design of experiments is a powerful method used to obtain the most statistically significant variables in a given system and may be used as a basis for constructing models of system behavior. This intensive one day course will focus on the strategies to obtain maximum information for the minimum effort (or cost).
Major topics covered include:
• Linear versus Non-linear models
• Analysis of Variance (ANOVA)
• Sums of Squares and Degrees of Freedom
• Measures of the relevance of models (R2, model significance, and lack of fit)
• Confidence intervals
• Screening designs
• Response surface designs
• An introduction to non-linear models and advanced statistical techniques
Methods to unlock the hidden information in Excel related to multiple linear regression will be discussed and related to ANOVA.
The course will supply you with a basic knowledge of Design of Experiments and a solid foundation for drawing statistically valid conclusions from the data.
Recommended for:
• Chemical Engineers
• Mechanical Engineers
• Environmental Engineers
• R&D Professionals
Instructor: Dr. Keith Dackson, P.E.
Schedule: 8:00 AM to 4:00 PM
Special Offer! Register for any two courses and use coupon code "16pdh" (no quotes) to receive a 10% discount on the total purchase.
Design of experiments is a powerful method used to obtain the most statistically significant variables in a given system and may be used as a basis for constructing models of system behavior. This intensive one day course will focus on the strategies to obtain maximum information for the minimum effort (or cost).
Major topics covered include:
• Linear versus Non-linear models
• Analysis of Variance (ANOVA)
• Sums of Squares and Degrees of Freedom
• Measures of the relevance of models (R2, model significance, and lack of fit)
• Confidence intervals
• Screening designs
• Response surface designs
• An introduction to non-linear models and advanced statistical techniques
Methods to unlock the hidden information in Excel related to multiple linear regression will be discussed and related to ANOVA.
The course will supply you with a basic knowledge of Design of Experiments and a solid foundation for drawing statistically valid conclusions from the data.
Recommended for:
• Chemical Engineers
• Mechanical Engineers
• Environmental Engineers
• R&D Professionals
Instructor: Dr. Keith Dackson, P.E.
Schedule: 8:00 AM to 4:00 PM
Special Offer! Register for any two courses and use coupon code "16pdh" (no quotes) to receive a 10% discount on the total purchase.
