Design and Analysis of Experiments by Douglas Montgomery: A Supplement for Using JMP

6The 2^k Factorial Design

Section 6.2 The 2² design

Example 6.1 A 2³ Design

Example 6.2 A Single Replicate of the 2⁴ Design

Example 6.3 Data Transformation in a Factorial Design

Example 6.5 Duplicate Measurements on the Response

Example 6.6 Credit Card Marketing

Example 6.7 A 2⁴ Design with Center Points

A popular choice for screening experiments, 2^k factorial designs measure the first-order effects of k factors, as well as interactions between those effects. The “2” indicates that each factor is represented only at a high level and at a low level (or two levels for categorical factors). The restriction to measuring a linear effect of each factor is often reasonable, and provides an efficient design for identifying the significant factors from ...