2. The following summary table presents the results from an ANOVA comparing k=3 treatment conditions with n = 12 participants in each of the 3 conditions. Fill all missing values (hint: begin with the df column).

Source	SS	df	MS	F
Between treatments			9
Within Treatments
Total	117

1. Pretend you want to know if there is a difference in happiness between people who have dogs, cats, or no pets at all. You find n = 5 people who have a dog, n= 5 people who have a cat, and n=5 people who don't have any pets, and you compare their happiness ratings (higher scores = happier). The data are below.

No Pet (X1)	Cat (X2)	Dog (X3)	N = SXtotal = SX2total =
0	1	4
2	3	6
2	2	2
0	2	4
3	3	3
M1= SX1 =	M2= SX2 =	M3= SX3 =

A. Do the data indicate significant differences among cat owners, dog owners, and those with no pets? Test with alpha = .05. Be sure to calculate the ANOVA by hand.

B. Calculate h²

C. If you do have a significant ANOVA, then calculate Tukey's HSD by hand to determine which group(s) is(are) different from which other(s).