a)
H0: = 62.3
b)
Ha: 62.3
c)
Test statistics
t = ( - ) / (S / sqrt(n) )
= (56.4 - 62.3) / (7.8 / sqrt(13) )
= -2.73
d)
From T table
With test statistics 2.73 and df of 12 ,
p-value(two tailed) is between , 0.01 < p < 0.05
e)
Since p-value < 0.05
Yes, reject H0
From a nationwide study, we know that the mean diastolic blood pressure is 62.3 mm gH...
From a nationwide study, we know that the mean diastolic blood pressure is 66.1 mm gH for children aged 5-6 years of age, and that the measurements are normally distributed. Blood pressure measurements were taken on 11 children aged 5-6 years living in a specific community to determine whether their living conditions resulted in a difference in mean blood pressure. For these children the average diastolic blood pressure was found to be 60.4 mm Hg with standard deviation 8 mm...
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From a nationwide study, we know that the mean diastolic blood pressure is 67.2 mm gH for children aged 5-6 years of age, and that the measurements are normally distributed. Blood pressure measurements were taken on 13 children aged 5-6 years living in a specific community to determine whether their living conditions resulted in a difference in mean blood pressure. For these children the average diastolic blood pressure was found to be 62.2 mm Hg with standard deviation 8.1 mm...
PPH4801/MPHDHM9 Jan/Feb 2018 12 A random sample of 300 diastolic blood pressure measure blood pressure is 99% confidence mmH g lf a 95% confidence interval is also calculated, then interval for the population mean diastolic blood pressure iS 68 to rs The 95% confidence interval will be wider than the 99% The 95% confidence interval will be narrower than the 99% 95% and 99% confidence interval will be the same 4 One cannot make general statement about whether the 95%...
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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,...