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 theor 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) Click the icon to view the data sets. a) Draw side-by-side boxplots of each data set. Does there appear to be a difference in the speeds? Are there any outliers? Choose the correct box plot below. OA. 6 On- Off- 15 30 45 60 MPH Q e there any outliers? Q oes there appear to be a difference in the speeds? A. Yes, the Meters On data appear to have higher speeds. OB. No, the box plots do not show any difference in speeds. OC. Yes, the Meters Off data appear to have higher speeds. OA. Yes, there appears to be a high outlier in the Meters Off data. B. Yes, there appears to be a low outlier in the Meters On data. OB. 6 Off- On- 15 30 MPH 45 60 Q KIXE E Speed data (in MPH) Ramp Meters On 28 48 55 38 30 24 44 45 34 56 51 41 no O C. FO Off On- Ramp Meters Off Full Data Set 23 26 41 35 36 30 47 37 19 30 22 41 41 ó 15 30 45 60 MPH - X

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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C) Yes, there appears to be a high outlier in the Meters On data

D) No, there does not appear to be any outliers

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).
Click the icon to view the data sets.
(a) Draw side-by-side boxplots of each data set. Does there appear to be a difference in the speeds? Are there any outliers? Choose the correct box plot below.
OA.
0
On-
Off-
15
30 45 60
MPH
Q
Does there appear to be a difference in the speeds?
OA. Yes, the Meters On data appear to have higher speeds.
OB. No, the box plots do not show any difference in speeds.
OC. Yes, the Meters Off data appear to have higher speeds.
Are there any outliers?
OA. Yes, there appears to be a high outlier in the Meters Off data.
OB. Yes, there appears to be a low outlier in the Meters On data.
OB.
0
Off-
On-
15
30
MPH
45
60
Q
Speed data (in MPH)
Ramp Meters On
28 48 55
38 30 24
44
45
51
34 56
41
43
26
48
Ramp Meters Off
23 26 41
35
36 30
47
37
19
30
22 41
38
50
41
O C.
0
Off-
On-
15
30
Full Data Set
MPH
45
-
60
X
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). Click the icon to view the data sets. (a) Draw side-by-side boxplots of each data set. Does there appear to be a difference in the speeds? Are there any outliers? Choose the correct box plot below. OA. 0 On- Off- 15 30 45 60 MPH Q Does there appear to be a difference in the speeds? OA. Yes, the Meters On data appear to have higher speeds. OB. No, the box plots do not show any difference in speeds. OC. Yes, the Meters Off data appear to have higher speeds. Are there any outliers? OA. Yes, there appears to be a high outlier in the Meters Off data. OB. Yes, there appears to be a low outlier in the Meters On data. OB. 0 Off- On- 15 30 MPH 45 60 Q Speed data (in MPH) Ramp Meters On 28 48 55 38 30 24 44 45 51 34 56 41 43 26 48 Ramp Meters Off 23 26 41 35 36 30 47 37 19 30 22 41 38 50 41 O C. 0 Off- On- 15 30 Full Data Set MPH 45 - 60 X
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