In a full factorial design, all possible combinations of factors and their levels are tested. However, in a fractional factorial design, only a fraction of these combinations is selected. This selection is based on a structured approach that ensures the chosen subset still provides meaningful information about the main effects and interactions. For example, a 2k-1 design involves half the number of experiments as a full 2k factorial design.
