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1. State the research hypothesis(non-directional) and the null hypothesis. Makesure you include both DV and IV in the hypotheses from #1 above

2.According to the post-hoc results table, which pairs of thecottages do show the statistically significant difference in“Number of traumas experienced” (e.g. “Cottage A vs. B”)?

SPSS Dataset	SPSS Data for HW (500 cases).sav (available in Canvas)
Variable Names in the dataset	cottage: Cottage assignment (Cottage A, B, & C)
	trauma: Number of traumas experienced

Descriptives
Number of traumas experienced
	N	Mean	Std. Deviation	Std. Error	95% Confidence Interval for Mean		Minimum	Maximum
					Lower Bound	Upper Bound
Cottage A	170	1.88	.902	.069	1.75	2.02	1	4
Cottage B	170	1.59	.494	.038	1.51	1.66	1	2
Cottage C	160	4.75	2.736	.216	4.32	5.18	2	10
Total	500	2.70	2.177	.097	2.51	2.89	1	10

Test of Homogeneity ofVariances
Number of traumas experienced
Levene Statistic	df1	df2	Sig.
318.765	2	497	.000

Robust Tests of Equality ofMeans
Number of traumas experienced
	Statistica	df1	df2	Sig.
Welch	106.654	2	268.787	.000
a. Asymptotically F distributed.

MultipleComparisons
Dependent Variable:   Number of traumasexperienced
	(I) Cottage	(J) Cottage	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
Bonferroni	Cottage A	Cottage B	.294	.180	.309	-.14	.73
		Cottage C	-2.868*	.183	.000	-3.31	-2.43
	Cottage B	Cottage A	-.294	.180	.309	-.73	.14
		Cottage C	-3.162*	.183	.000	-3.60	-2.72
	Cottage C	Cottage A	2.868*	.183	.000	2.43	3.31
		Cottage B	3.162*	.183	.000	2.72	3.60
Games-Howell	Cottage A	Cottage B	.294*	.079	.001	.11	.48
		Cottage C	-2.868*	.227	.000	-3.40	-2.33
	Cottage B	Cottage A	-.294*	.079	.001	-.48	-.11
		Cottage C	-3.162*	.220	.000	-3.68	-2.64
	Cottage C	Cottage A	2.868*	.227	.000	2.33	3.40
		Cottage B	3.162*	.220	.000	2.64	3.68
*. The mean difference is significantat the 0.05 level.