Question

BigDeal Real Estate surveyed prices per square foot in the valley and foothills of Hoke-a mo, Utah. Based on BD’s DATA, are process per square foot equal at x=0.01?

Valley	Foothills
109	82
116	161
106	163
157	112
147	222
105	137
173	226
153	200
137	154
110	176

The critical value is 2.977 since this is a two-tail scenario. The test statistic is 2.239. Since the test statistic < the critical value, the test statistic does not lie in the area of rejection. Do not reject the null hypothesis. The prices per square foot are equal at alpha= .01

The critical value is 2.977 since this is a two-tail scenario. The test statistic is 1.513. Since the test statistic < the critical value, the test statistic does not lie in the area of rejection. Do not reject the null hypothesis. The prices per square foot are equal at alpha= .01

The critical value is 2.977 since this is a two-tail scenario. The test statistic is 1.936. Since the test statistic < the critical value, the test statistic does not lie in the area of rejection. Do not reject the null hypothesis. The prices per square foot are equal at alpha= .01

The critical value is 2.977 since this is a two-tail scenario. The test statistic is 3.207. Since the test statistic > the critical value, the test statistic does not lie in the area of rejection. Reject the null hypothesis. The prices per square foot are equal at alpha= .01

Answer 1

Here we have data :

Calley	Foothills
109	82
116	161
106	163
157	112
147	222
105	137
173	226
153	200
137	154
110	176

Here we are using Excel for calculation:

t-Test: Two-Sample Assuming Unequal Variances
	Variable 1	Variable 2
Mean	131.3	163.3
Variance	629.5667	2101.1222
Observations	10	10
Hypothesized Mean Difference	0
df	14
t Stat	-1.9365
P(T<=t) two-tail	0.0733
t Critical two-tail	2.977

Correct option:

The critical value is 2.977 since this is a two-tail scenario. The test statistic is 1.936. Since the test statistic < the critical value, the test statistic does not lie in the area of rejection. Do not reject the null hypothesis. The prices per square foot are equal at alpha= .01