The answer should correspond with the below data and one of the choices: 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 3.207. Since the test statistic > the critical value, the test statistic does lie in the area of rejection. Reject the null hypothesis. The prices per square foot are not 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 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 DATA To Use Valley Foothills 109 75 116 154 106 156 157 105 147 215 105 130 173 219 153 193 137 147 110 169
The answer should correspond with the below data and one of the choices: 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 3.207. Since the test statistic > the critical value, the test statistic does lie in the area of rejection. Reject the null hypothesis. The prices per square foot are not 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 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 DATA To Use Valley Foothills 109 75 116 154 106 156 157 105 147 215 105 130 173 219 153 193 137 147 110 169
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
BigDeal Real Estate surveyed prices per square foot in the valley and foothills of Hoke-a-mo, Utah. Based on BigDeal's attached data, are prices per square foot equal at x=0.01?
Transcribed Image Text:The answer should correspond
with the below data and one of the
choices:
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
3.207. Since the test statistic > the critical value, the test statistic does lie in the
area of rejection. Reject the null hypothesis. The prices per square foot are not
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
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
DATA To Use
Valley
Foothills
109
75
116
154
106
156
157
105
147
215
105
130
173
219
153
193
137
147
110
169
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