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In Myers, Montgomery, and Anderson-Cook (2009), a data set is discussed in which a 2 3 factorial is used by an engineer to study the effects of cutting speed (A), tool geometry (B), and cutting angle...

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In Myers, Montgomery, and Anderson-Cook (2009), a data set is discussed in which a 23 factorial is used by an engineer to study the effects of cutting speed (A), tool geometry (B), and cutting angle (C) on the life (in hours) of a machine tool. Two levels of each factor are chosen, and duplicates are run at each design point with the order of the runs being random. The data are presented here.

 

A

B

C

Life

(1)

−

−

−

22,31

A

+

−

−

32,43

B

−

+

−

35,34

Ab

+

+

−

35,47

C

−

−

+

44,45

Ac

+

−

+

40,37

Bc

−

+

+

60,50

Abc

+

+

+

39,41

(a) Calculate all seven effects. Which appear, based on their magnitude, to be important?

(b) Do an analysis of variance and observe P-values.

(c) Do your results in (a) and (b) agree?

(d) The engineer felt confident that cutting speed and cutting angle should interact. If this interaction is significant, draw an interaction plot and discuss the engineering meaning of the interaction.

Answered Same Day Dec 24, 2021

Solution

David answered on Dec 24 2021
115 Votes
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