Interpret the following chi-square analysis.

1. What is the null hypothesis?
2. Using an alpha level of .05, what do you conclude?
3. If you reject the null hypothesis, which cells appear to account for the decision?

Crosstab
	CAN PEOPLE BE TRUSTED	Total
CAN TRUST	CANNOT TRUST	DEPENDS
BOTH MEN AND WOMEN SHOULD CONTRIBUTE TO INCOME	Strongly Agree	Count	28	97	4	129
Expected Count	36.5	87.9	4.6	129.0
Std. Residual	-1.4	1.0	-.3
Agree	Count	65	208	11	284
Expected Count	80.3	193.5	10.2	284.0
Std. Residual	-1.7	1.0	.2
Neither Agree nor Disagree	Count	61	90	5	156
Expected Count	44.1	106.3	5.6	156.0
Std. Residual	2.5	-1.6	-.3
Disgree	Count	25	31	3	59
Expected Count	16.7	40.2	2.1	59.0
Std. Residual	2.0	-1.5	.6
Strongly Disagree	Count	2	10	0	12
Expected Count	3.4	8.2	.4	12.0
Std. Residual	-.8	.6	-.7
Total	Count	181	436	23	640
Expected Count	181.0	436.0	23.0	640.0

	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	24.118a	8	.002
Likelihood Ratio	23.977	8	.002
Linear-by-Linear Association	9.333	1	.002
N of Valid Cases	640
a. 4 cells (26.7%) have expected count less than 5. The minimum expected count is .43.