Oxnard Petro, Ltd., has three interdisciplinary projectdevelopment teams that function on an ongoing basis. Team membersrotate from time to time. Every 4 months (three times a year) eachdepartment head rates the performance of each project team (using a0 to 100 scale, where 100 is the best rating). Are the main effectssignificant? Is there an interaction?

Year	Marketing	Engineering	Finance
2007	90	69	96
	84	72	86
	80	78	86
2009	72	73	89
	83	77	87
	82	81	93
2011	92	84	91
	87	75	85
	87	80	78

  Click here for the Excel Data File

(a-1) Choose the correct row-effect hypotheses.

a.	H0: A1 ≠A2 ≠ A3 ≠ 0	⇐⇐ year means differ
	H1: All the Aj areequal to zero	⇐⇐ year means are the same
b.	H0: A1 =A2 = A3 = 0	⇐⇐ year means are the same
	H1: Not all the Aj areequal to zero	⇐⇐ year means differ

• a

• b

(a-2) Choose the correct column-effecthypotheses.

a.	H0: B1 ≠B2 ≠ B3 ≠ 0	⇐⇐ department means differ
	H1: All the Bj areequal to zero	⇐⇐ department type means are the same
b.	H0: B1 =B2 = B3 = 0	⇐⇐ department means are the same
	H1: Not all the Bj areequal to zero	⇐⇐ department type means differ

• a

• b

(a-3) Choose the correct interaction-effecthypotheses.

a.	H0: Not all the ABjkare equal to zero	⇐⇐ there is an interaction effect
	H1: All the ABjk areequal to zero	⇐⇐ there is no interaction effect
b.	H0: All the ABjk areequal to zero	⇐⇐ there is no interaction effect
	H1: Not all the ABjkare equal to zero	⇐⇐ there is an interaction effect

• a

• b

(b) Fill in the missing data. (Round your Table ofMeans values to 1 decimal place, SS and F valuesto 2 decimal places, MS values to 3 decimal places, andp-values to 4 decimal places.)

Table of Means
Factor 2 (Department)
Factor 1 (Year)	Marketing	Engineering	Finance	Average
2007
2009
2011
Total

  

Source	SS	df	MS	F	p-value
Factor 1 (Year)
Factor 2 (Department)
Interaction
Error
Total