Question
In: Statistics and Probability
The ages (in years) of seven men and their systolic blood pressures (BP) are given below....
The ages (in years) of seven men and their systolic blood pressures (BP) are given below.
|
Age |
16 |
25 |
39 |
45 |
49 |
64 |
70 |
|
B.P. |
109 |
122 |
143 |
132 |
199 |
185 |
199 |
As age increases does blood pressures increase? Test at
alphaα
= 0.05, level of significance?
Hypotheses
What are the null and alternative hypothesis?
(Use the tool pallette for symbols.)
nothing
= nothing
nothing
nothing
nothing
Calculate the Test Statistic and P-value.
Test Statistic
nothing
= nothing
P-value p = nothing
Test result
P-value
nothing
alphaα
A.Reject
Upper H 0H0.
B.Do not reject
Upper H 0H0.
Choose the correct conclusion below, with respect to the claim.
A.
There's no correlation between age and blood pressures.
B.
There's a negative correlation between age and blood pressures.
C.
There's some correlation between age and blood pressures.
D.
There's a positive correlation between age and blood pressures.
Solutions
orchestra answered 2 years agoRelated Solutions
The ages (in years) of seven men and their systolic blood pressures (BP) are given below....
The ages (in years) of seven men and their systolic blood
pressures (BP) are given below.
Age
16
25
39
45
49
64
70
B.P.
109
122
143
132
199
185
199
As age increases does blood pressures increase? Test at
alphaα
= 0.05, level of significance?
Hypotheses
What are the null and alternative hypothesis?
(Use the tool pallette for symbols.)
nothing
= nothing
nothing
nothing
nothing
Calculate the Test Statistic and P-value.
Test Statistic
nothing
= nothing
P-value p...
The ages (in years) of nine men and their systolic blood pressures (in millimetres of mercury)...
The ages (in years) of nine men and their systolic blood
pressures (in millimetres of mercury) are given below.
Age
16
25
39
49
22
57
22
63
75
Systolic blood pressure
109
122
143
199
118
175
118
185
199
Name the dependent and independent variables
Calculate the correlation coefficient and interpret your
results.
Calculate the rank difference correlation coefficient
Develop the regression equation for the data set.
Predict the blood pressure of a 50-year-old and a
70-year-old....
The data below are ages and systolic blood pressures (measured in millimetres of mercury) of 9...
The data below are ages and systolic blood pressures (measured
in millimetres of mercury) of 9 randomly selected adults. Age 38 41
45 48 50 53 57 61 65 Pressure 116 129 123 131 142 154 148 150 155
Find the equation of the regression line for the given data. Round
the regression line values to the nearest hundredth. Determine the
coefficient of determination. Round to the nearest thousandths.
Interpret the coefficient of determination.
I was given a sample data set of systolic blood pressures and was asked to 1.)...
I was given a sample data set of systolic blood pressures and
was asked to 1.) calculate: the mean, median, standard deviation,
interquartile range and 2.) applied what I have learned in the
course to describe or comment on the systolic blood pressures
data.
minimum : 86.0
maximum : 267.0
mean: 140.2
median: 137.0
standard deviation: 22.92012
Q1: 123.0
Q3: 154.0
After calculating the IQR with lower limit of 76.5 and upper
limit of 200.5, I stated that given the...
How are systolic and diastolic blood pressures measured with a sphygmomanometer?
How are systolic and diastolic blood pressures measured with a
sphygmomanometer?
The systolic blood pressures of the patients at a hospital are normally distributed with a mean...
The systolic blood pressures of the patients at a hospital are
normally distributed with a mean of 136 mm Hg and a standard
deviation of 13.8 mm Hg. Find the two blood pressures having these
properties: the mean is midway between them and 90% of all blood
pressures are between them.
Need step by step on how to get answer
A set of eight systolic blood pressures is given. 1 2 3 4 5 6 7...
A set of eight systolic blood pressures is given.
1
2
3
4
5
6
7
8
Pressure
110
123
135
155
129
116
101
122
(a) Find the median value for the dataset.
(b) Find the values of the lower and upper quartiles.
Note: you should do this by hand using the method discussed in
class. Some software packages and calculators use a slightly
different technique and will report different values.
Q1 =
Q3 =
(c) Find the value...
The distribution of systolic blood pressures in a group of females with diabetes is approximately normal...
The distribution of systolic blood pressures in a group of
females with diabetes is approximately normal with unknown mean.
Fortunately, the standard deviation is known: σ= 11.8 mm/Hg.
In a sample of 10 women from this group the mean systolic blood
pressure was x̅= 130 mmHg. Calculate a two-sided 95% confidence
interval for the true mean systolic blood pressure, μ, for the
group of diabetic women
Repeat (a) but construct a 90% confidence interval
instead.
How does the two confidence...
In a clinic, the systolic blood pressures in mmHg of a random sample of 10 patients...
In a clinic, the systolic blood pressures in mmHg of a random
sample of 10 patients with a certain metabolic disorder were
collected. Assume blood pressure is normally-distributed in the
population. The mean of this sample was 103.2 mmHg with a (sample)
standard deviation of 15.0 mmHg. Test the hypothesis that the mean
blood pressure of this sample of patients differs from the known
population mean sysolic blood pressure of 121.2 mmHg.
Show your working including null hypothesis, alternative
hypothesis,...
The distribution of diastolic blood pressures for the population of female diabetics between the ages of...
The
distribution of diastolic blood pressures for the population of
female diabetics between the ages of 30 and 34 has an unknown mean
and standard deviation. A sample of 10 diabetic women is selected;
their mean diastolic blood pressure is 84 mm Hg. We want to
determine whether the diastolic blood pressure of female diabetics
are different from the general population of females in this age
group, where the mean = 74.4 mmHg and standard deviation = 9.1...
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