Design of Experiment: Qualitative Factors

Related lectures (32)

Page 2 of 4

Covers the basics of full factorial design, coding, graphical outputs, and data analysis.

Covers the importance of exercises, numerical tools, and iterative problem-solving in DOE.

Covers Fractional Factorial Designs, types, examples, balanced designs, and exploiting redundancies in interactions.

Explores qualitative factors in Design of Experiments, including statistical tests and error types.

Covers experimental design using a balloon example to illustrate key concepts in factorial experiments and data analysis.

Explores the basics of statistics, the significance of experimental designs, and their practical applications in various fields.

Covers the design of a catapult experiment and higher order equations.

Explores replicates, ANOVA, and factor elimination in full factorial designs using ANOM tables and model equations.

Explores model building using analysis of means for predicting factors' effects and interactions.

Covers factorial experimental design, 2-way ANOVA, interaction plots, and unbalanced designs.