Stat-Ease Inc, the producer of a Design of Experiments software, performed an experiment a few years ago to identify the factors that were important in increasing the response rate of engineers to Stat-Ease works flop announcements. The factors and their levels were:12
Factor A: Number of colors (two vs. four)
Factor B: Postcard size (4" × 6" vs. 5.5" × 8.5")
Factor C: Paper stock (index vs. heavyweight)
Stat-Ease made eight types of its announcement postcard and sent each type to 1/8 of this mailing list of engineers. The levels of each type and number of fax responses received were:

Determine the influence of each level of each factor on the response and prescribe tire best levels for each factor. What do you recommend Stat-Ease should do?

Transcribed Image Text:

Factor A Number of Colors Factor B Postcard Size Factor C Po stcard Thickness Versiorn Response 2colour ) 4colour (+) Index (-) Index ) Index I-) Index (-) Heavyweight (H) Heavyweight ㈩ 34 18 4" x6" 5.5' x 8.5") 5.5" x 8.5" (+) 4" x6 () 2 2color 5.5*x 4 5 4-colour +) 2colour () 4colour (+) 2colour ( 5.5'x 8.5 4colour (+) 26 26 17 29 21 Heavyweight +) 5.5" x 8.5" (+) Heavyweight (+)