Overview for Power and Sample Size for General Full Factorial Design

Use Power and Sample Size for General Full Factorial Design to examine the relationship between power, number of replicates, and the maximum difference between main effect means. Use these calculations for the following reasons:

Before you collect data for a designed experiment to ensure that your design has enough replicates to achieve acceptable power.
After a designed experiment, to evaluate whether the designed experiment needed more experimental runs.

Where to find this analysis

To perform a power and sample size calculation for a general full factorial design, choose Stat > Power and Sample Size > General Full Factorial Design.

When to use an alternate analysis

Minitab also performs calculations for these design types:

Power and Sample Size for 2-Level Factorial Design
Power and Sample Size for Plackett-Burman Design

For more information on these design types, go to Factorial and fractional factorial designs and Plackett-Burman designs.

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