Question

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?

Identify hypothesis.

Identify the test statistic.

t=

(Round to two decimal places as needed.)

Identify the P-value.

P-value=

(Round to three decimal places as needed.)

What is the conclusion based on the hypothesis test?

Since the P-value is **less/greaterthan** the
significance level,**reject/fail to reject** the null
hypothesis. There **is/is not** sufficient evidence to
support the claim of a difference in measurements between the two
arms.

Right_arm(mm_Hg) Left_arm(mm_Hg)

142 181

143 165

131 185

133 140

129 153

Answer #1

t = -3.65

P-value = 0.022

Since the P-value is **less than** the
significance level,**reject** the null hypothesis.
There **is** sufficient evidence to support the claim
of a difference in measurements between the two 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
0.10 significance level to test for a difference between the
measurements from the two arms. What can be concluded? Right arm
149 131 130 129 137 Left arm 174 161 173 137 139 Identify the test...

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(mm_Hg)
Left Arm(mm_Hg)
145
166
141
177
136
190
136
143
129
141
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
0.01 significance level to test for a difference between the
measurements from the two arms. What can be concluded? Right arm
144 132 120 139 129 vs Left arm 169 160 189 142 138

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: 149, 142, 136, 136, 134
Left arm: 182, 175, 192, 142, 136
Hypothesis test. Please...

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? Right arm
145 133 130 138 133 Left arm 183 179 175 151 135

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
145
147
138
138
137
Left arm
169
160
184
156
137
what is the...

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
0.050.05
significance level to test for a difference between the
measurements from the two arms. What can be concluded?
Right arm
152152
148148
115115
129129
136136
Left arm
172172
168168
177177
148148
149149
In this example,...

Listed below are the systolic blood pressure measurement (mm Hg)
taken from the right and left arms of the same woman. Assume that
the paired sample dat 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?
Right arm 150 149 126 134 129
Left arm 168 178 176 154 137
What is...

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. Right Arm 101 100 92 77
76 Left Arm 174 168 142 141 143 LOADING... Click the icon to...

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 80 mm Hg. Use a
significance level of 0.05.
Right Arm
103 102 94 75 74
Left Arm 177 170 146 143 144...

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