Ramp metering is a traffic engineering idea that requires cars entering a freeway to stop for a certain period of time before joining the traffic flow. The theory is that ramp metering controls the number of cars on the freeway and the number of cars accessing the freeway, resulting in a freer flow of cars, which ultimately results in faster travel times. To test whether ramp metering is effective in reducing travel times, engineers conducted an experiment in which a section of freeway had ramp meters installed on the on-ramps. The response variable for the study was speed of the vehicles. A random sample of 15 cars on the highway for a Monday at 6 p.m. with the ramp meters on and a second random sample of 15 cars on a different Monday at 6 p.m. with the meters off resulted in the following'speeds (in miles per hour). E Click the icon to view the data sets. B. Off- Off- On On On- 30 45 MPH 30 45 MPH 60 30 45 MPH 60 L Does there appear to be a difference in the speeds? O A. Yes, the Meters Off data appear to have higher speeds. O B. No, the box plots do not show any difference in speeds. C. Yes, the Meters On data appear to have higher speeds. Are there any outliers? A. No, there does not appear to be any outliers. O B. Yes, there appears to be a low outlier in the Meters On data. O C. Yes, there appears to be a high outlier in the Meters On data. OD. Yes, there appears to be a high outlier in the Meters Off data. (b) Are the ramp meters effective in maintaining a higher speed on the freeway? Use the a = 0.01 level of significance. State the null and alternative hypotheses. Choose the correct answer below. OA. Ho Hon Hof H, Hon Hoff OB. HoHon Hoff HPon * Hoff C. Ho Fon Hoff H Hon Hoff OD. HOHO Hoff H1 Hon Hoff Determine the P-value for this test. P-value = 0.059 (Round to three decimal places as needed.) Choose the correct conclusion. O A. Reject Ho- There is not sufficient evidence at the a = 0.01 level of significance that the ramp meters are effective in maintaining higher speed on the freew O B. Reject Ho- There is sufficient evidence at the a = 0.01 level of significance that the ramp meters are effective in maintaining higher speed on the freeway. OC. Do not reject Hn- There is not sufficient evidence at the a= 0.01 level of significance that the ramp meters are effective in maintaining higher speed on th freeway. O D. Do not reject H. There is sufficient evidence at the a = 0.01 level of significance that the ramp meters are effective in maintaining higher speed on the freeway.

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Author:Amos Gilat
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Solve the last question please
Ramp Meters On
Ramp Meters off
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47
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27 43
39
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Transcribed Image Text:Ramp Meters On Ramp Meters off 28 57 26 45 47 24 27 43 39 43 32 36 48 35 31 50 38 19 35 55 41 28 23 41 42 25 46 38 52 42
Ramp metering is a traffic engineering idea that requires cars entering a freeway to stop for a certain period of time before joining the traffic flow. The theory is that
ramp metering controls the number of cars on the freeway and the number of cars accessing the freeway, resulting in a freer flow of cars, which ultimately results in
faster travel times. To test whether ramp metering is effective in reducing travel times, engineers conducted an experiment in which a section of freeway had ramp
meters installed on the on-ramps. The response variable for the study was speed of the vehicles. A random sample of 15 cars on the highway for a Monday at 6 p.m.
with the ramp meters on and a second random sample of 15 cars on a different Monday at 6 p.m. with the meters off resulted in the following'speeds (in miles per
hour).
E Click the icon to view the data sets.
O A.
B.
Off-
On
On
Оп
Off
15
30
45
60
75
30
45
60
30
60
45
MPH
MPH
MPH
Does there appear to be a difference in the speeds?
O A. Yes, the Meters Off data appear to have higher speeds.
O B. No, the box plots do not show any difference in speeds.
CC. Yes, the Meters On data appear to have higher speeds.
Are there any outliers?
A. No, there does not appear to be any outliers.
O B. Yes, there appears to be a low outlier in the Meters On data.
O C. Yes, there appears to be a high outlier in the Meters On data.
O D. Yes, there appears to be a high outlier in the Meters Off data.
(b) Are the ramp meters effective in maintaining a higher speed on the freeway? Use the a = 0.01 level of significance. State the null and alternative hypotheses.
Choose the correct answer below.
OA. Ho Hon Hoff
H, Fon Hoff
OB. HoHon Hoff
H Pon * Hoff
C. Ho Hon = Hoff
HHon Hof
OD. Ho Fon Hoff
H1 Hon Hoff
Determine the P-value for this test.
P-value = 0.059 (Round to three decimal places as needed.)
Choose the correct conclusion.
O A. Reject H. There is not sufficient evidence at the a = 0.01 level of significance that the ramp meters are effective in maintaining higher speed on the freewa
O B. Reject Ho. There is sufficient evidence at the a = 0.01 level of significance that the ramp meters are effective in maintaining higher speed on the freeway.
OC. Do not reject Hn. There is not sufficient evidence at the a= 0.01 level of significance that the ramp meters are effective in maintaining higher speed on the
freeway.
O D. Do not reject Hn. There is sufficient evidence at the a = 0.01 level of significance that the ramp meters are effective in maintaining higher speed on the
freeway.
Transcribed Image Text:Ramp metering is a traffic engineering idea that requires cars entering a freeway to stop for a certain period of time before joining the traffic flow. The theory is that ramp metering controls the number of cars on the freeway and the number of cars accessing the freeway, resulting in a freer flow of cars, which ultimately results in faster travel times. To test whether ramp metering is effective in reducing travel times, engineers conducted an experiment in which a section of freeway had ramp meters installed on the on-ramps. The response variable for the study was speed of the vehicles. A random sample of 15 cars on the highway for a Monday at 6 p.m. with the ramp meters on and a second random sample of 15 cars on a different Monday at 6 p.m. with the meters off resulted in the following'speeds (in miles per hour). E Click the icon to view the data sets. O A. B. Off- On On Оп Off 15 30 45 60 75 30 45 60 30 60 45 MPH MPH MPH Does there appear to be a difference in the speeds? O A. Yes, the Meters Off data appear to have higher speeds. O B. No, the box plots do not show any difference in speeds. CC. Yes, the Meters On data appear to have higher speeds. Are there any outliers? A. No, there does not appear to be any outliers. O B. Yes, there appears to be a low outlier in the Meters On data. O C. Yes, there appears to be a high outlier in the Meters On data. O D. Yes, there appears to be a high outlier in the Meters Off data. (b) Are the ramp meters effective in maintaining a higher speed on the freeway? Use the a = 0.01 level of significance. State the null and alternative hypotheses. Choose the correct answer below. OA. Ho Hon Hoff H, Fon Hoff OB. HoHon Hoff H Pon * Hoff C. Ho Hon = Hoff HHon Hof OD. Ho Fon Hoff H1 Hon Hoff Determine the P-value for this test. P-value = 0.059 (Round to three decimal places as needed.) Choose the correct conclusion. O A. Reject H. There is not sufficient evidence at the a = 0.01 level of significance that the ramp meters are effective in maintaining higher speed on the freewa O B. Reject Ho. There is sufficient evidence at the a = 0.01 level of significance that the ramp meters are effective in maintaining higher speed on the freeway. OC. Do not reject Hn. There is not sufficient evidence at the a= 0.01 level of significance that the ramp meters are effective in maintaining higher speed on the freeway. O D. Do not reject Hn. There is sufficient evidence at the a = 0.01 level of significance that the ramp meters are effective in maintaining higher speed on the freeway.
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