SAMPLE 1 | SAMPLE 2 | difference , Di =sample1-sample2 | (Di - Dbar)² |
149 | 172 | -23.000 | 0.040 |
148 | 168 | -20.000 | 10.240 |
124 | 176 | -52.000 | 829.440 |
133 | 156 | -23.000 | 0.040 |
137 | 135 | 2.000 | 635.040 |
sample 1 | sample 2 | Di | (Di - Dbar)² | |
sum = | 691 | 807 | -116.000 | 1474.800 |
mean of difference , D̅ =ΣDi / n =
-23.200
std dev of difference , Sd = √ [ (Di-Dbar)²/(n-1) =
19.2016
std error , SE = Sd / √n = 19.2016 /
√ 5 = 8.5872
t-statistic = (D̅ - µd)/SE = ( -23.2
- 0 ) / 8.5872
= -2.70
Degree of freedom, DF= n - 1 = 4
p-value = 0.0540
Listed below are systolic blood pressure measurements (mm Hg) taken from the right and left arms...
Listed below are systolic blood pressure measurements (mm Hg) taken from the right and left arms of the same woman. Assume that the paired sample data is a simple random sample and that the differences have a distribution that is approximately normal. Use a 0.01 significance level to test for a difference between the measurements from the two arms. What can be concluded? Right arm 137 145 165 131 171 136 174 139 144 Left arm 137 In this example....
Listed below are systolic blood pressure measurements (mm Hg) taken from the right and left arms of the same woman. Assume that the paired sample data is a simple random sample and that the differences have a distribution that is approximately normal. Use a 0.10 significance level to test for a difference between the measurements from the two arms. What can be concluded? Right arm Left arm 148 183 142 179 126 187 136 145 130 143 In this example,...
Listed below are systolic blood pressure measurements (mm Hg) taken from the right and left arms of the same woman. Assume that the paired sample data is a simple random sample and that the differences have a distribution that is approximately normal. Use a 0.10 significance level to test for a difference between the measurements from the two arms. What can be concluded? Right arm Left arm 148 170 141 171 129 183 136 139 129 136 B. Ho: 470...
Listed below are systolic blood pressure measurements (mm Hg) taken from the right and left arms of the same woman. Assume that the paired sample data is a simple random sample and that the differences have a distribution that is approximately normal. Use a significance level to test for a difference between the measurements from the two arms. What can be concluded? right arm: 148, 139, 121, 129, 129 left arm: 182, 173, 189, 150, 147 In this example, is...
Listed below are systolic blood pressure measurements (mm Hg) taken from the right and left arms of the same woman. Assume that the paired sample data is a simple random sample and that the differences have a distribution that is approximately normal. Use a 0.01 significance level to test for a difference between the measurements from the two arms. What can be concluded? Right arm 152 146 134 135 138 Left arm 168 168 190 144 148 In this example,...
Need help calculating t-statistic and P-value: Listed below are systolic blood pressure measurements (mm Hg) taken from the right and left arms of the same woman. Assume that the paired sample data is a simple random sample and that the differences have a distribution that is approximately normal. Use a 0.05 significance level to test for a difference between the measurements from the two arms. What can be concluded? We were unable to transcribe this imageListed below are systolic blood...
Listed below are systolic blood pressure measurements taken from the right and left arms of the same woman. Assume that the paired sample data is a simple random sample and that the differences have a distribution that is approximately normal. Use a 0.10 significance level to test the difference between the measurements from the two arms. What can be concluded? Right arm measurements are 143, 133, 138, 130, 138 left arm measurements are 170, 167, 176, 139, 142. Identify the...
leted helow are systolic blood pressure measurements (mm Hg) taken from the rieht and le arms of the same woman. Assume that the paired sample data is a simple random sample and that une aas have a distribution that is approximately normal. Use a 0,05 significance level to test the claim that is a difference between the measurements from the two arms. (14 points) 136 Right arm Left arm 151 144 129 135 168 180 174 140 145 -32 -29...
Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right arm blood pressure be the predictor (x) variable. Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 95 mm Hg. Use a significance level of 0.05. Right Arm 100 99 93 76 75 Left Arm 176 170 148 146 145 Click the icon to view...
Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right arm blood pressure be the predictor (x) variable. Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 85 mm Hg. Use a significance level of 0.05. mm Hg) obtained from the same woman. Find the regression equation, letting the right arm blood pressure be the...