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14.BigDeal Real Estate surveyed prices per square foot in the valley and foothills of Hoke-a-mo, Utah. Based the following BD's DATA: are prices square foot

14.BigDeal Real Estate surveyed prices per square foot in the valley and foothills of Hoke-a-mo, Utah. Based the following BD's DATA: are prices square foot equal at ax = 0.01?

Valley Foothills

109 87

116 166

106 168

157 117

147 227

105 142

173 231

153 205

137 159

110 181

a.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.

b.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.

c.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. Do not reject the null hypothesis. The prices per square foot are equal at alpha = .01.

d.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.

15. Given the following contingency table with category labels A, B, C, X, Y, and Z, what is the expected count with 1 decimal place in the joint category of C and X?

X Y Z

A 1 10 14

B 15 16 2

C 13 1 5

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