Question

[R code]

A <- c(158, 149, 160, 155, 164, 138, 163, 159, 165, 145, 150,
161, 132, 155, 146, 159)

B <- c(164, 158, 163, 160, 172, 147, 167, 169, 173, 147, 156,
164, 133, 161, 154, 170)

Using ‘wilcox.test’ function. A is the data showing blood pressure
before jogging and B is the data showing blood pressure after
jogging. At a significance level of 0.05, After jogging, test if
you can say blood pressure has increased by more than 5. Thank you
:)

Answer #1

> A <- c(158, 149, 160, 155, 164, 138, 163, 159, 165, 145,
150, 161, 132, 155, 146, 159)

> B <- c(164, 158, 163, 160, 172, 147, 167, 169, 173, 147,
156, 164, 133, 161, 154, 170)

> wilcox.test(A,B, paired=TRUE,alt='l')

Wilcoxon signed rank test with continuity correction data: A and B Warning message: |

At a significance level of 0.05, p-value= 0.000236< 0.05, we may reject Ho and conclude that there is statistical evidence that after jogging blood pressure has increased by more than 5

For the data :
165 168 158 157 171 161 160 167 166 172
160 162 154 157 161 154 155 158 161 155
164 166 156 161 151 183 157 155 158 159
161 155 166 155 158 152 175 167 164 156
155 158 150 162 163 167 157 154 155 163
a. Find the mean, median and mode.
b. Find the range, variance, and standard deviation.
c. Find the lower quartile, upper quartile, and inter-quartile
range. Are...

For the data :
165 168 158 157 171 161 160 167 166 172
160 162 154 157 161 154 155 158 161 155
164 166 156 161 151 183 157 155 158 159
161 155 166 155 158 152 175 167 164 156
155 158 150 162 163 167 157 154 155 163
a. Find the mean, median and mode.
b. Find the range, variance, and standard
deviation.
c. Find the lower quartile, upper quartile, and
inter-quartile range. Are...

115 124 132 134 136 137 138 138 139 140 141 141 144 144 145 145
145 146 146 148 150 150 150 151 151 151 151 154 154 156 156 156 156
157 158 159 159 159 159 160 161 161 161 161 162 162 163 164 164 164
164 165 165 165 166 166 166 166 168 168 168 168 168 168 169 169 169
169 170 170 171 171 172 173 173 173 173 173 174 174...

Refer to the accompanying data set of mean drive-through
service times at dinner in seconds at two fast-food restaurants.
Construct a
99% confidence interval estimate of the mean drive-through
service time for Restaurant X at dinner; then do the same for
Restaurant Y. Compare the results.
Service Times (seconds)
Restaurant X
Restaurant Y
80
80
124
124
118
118
147
147
264
264
102
102
127
127
155
155
112
112
174
174
183
183
119
119
149
149
164...

Open Three Hospitals data. SETUP: It is
believed that the number of injuries recorded in hospital 1 is
different from the number of injuries recorded in hospital 2. Given
the data your job is to confirm or disprove this assertion.
10. What test/procedure did you perform? (4
points)
a. Regression
b. Two sided t-test
c. One sided t-test
d. Confidence Interval
11. What is the statistical interpretation? (4
points)
a. Average of data is inconsistent with the claim
b. P-value...

Refer to the accompanying data set of mean drive-through
service times at dinner in seconds at two fast food restaurants.
Construct a 90% confidence interval estimate of the mean
drive-through service time for Restaurant X at dinner; then do the
same for Restaurant Y. Compare the results.
Construct a 90% confidence interval of the mean drive-through
service times at dinner for Restaurant X. nothing secless than
muless than nothing sec (Round to one decimal place as
needed.)
Restaurant X
Restaurant...

3.53 The time from when a patient is discharged from North Shore
Hospital to the time the discharged patient’s bed is ready to be
assigned to a new patient is referred to as the bed assignment
turnaround time. If the bed turnaround time is excessive, it can
cause problems with patient flow and delay medical procedures
throughout the hospital. This can cause long waiting times for
physicians and patients, thus creating customer dissatisfaction.
The admissions RN has assigned a patient...

Pat.#
Before
After
1
195
125
To the left is 2 datasets measured for
a sample of 107 patients with the high cholesterol level before and
after taking medication. Obtain the following for both sets:
2
208
164
3
254
152
1- the mean, mode and median
4
226
144
5
290
212
2- the variance and standard
deviation
6
239
171
7
216
164
3- First, second and third
quartiles
8
286
200
9
243
190
10
217
130...

When subjects were treated with a drug, their systolic blood
pressure readings (in mm Hg) were measured before and after the
drug was taken. Results are given in the table below. Assume that
the paired sample data is a simple random sample and that the
differences have a distribution that is approximately normal. Using
a
0.05
significance level, is there sufficient evidence to support the
claim that the drug is effective in lowering systolic blood
pressure?
Before
161
169
158...

Refer to the accompanying data set of mean drive-through
service times at dinner in seconds at two fast food restaurants.
Construct a 99% confidence interval estimate of the mean
drive-through service time for Restaurant X at dinner; then do the
same for Restaurant Y. Compare the results. LOADING... Click the
icon to view the data on drive-through service times. Construct a
99% confidence interval of the mean drive-through service times
at dinner for Restaurant X. nothing secless thanmuless than nothing...

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