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 carsOA. 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.OC. Yes, there appears to be a high outlier in the Meters On data.OD. No, there does not appear to be any outliers.(b) Are the ramp meters effective in maintaining a higher speed on the freeway? Use the a=0.05 level of significance. State the null and alternative hypotheses. Choose the correct answer below.OA. Ho Hon HoffH₁ Hon HoffOC. Ho Hon HoffH₁ Hon Hoff#Determine the P-value for this test.***P-value= (Round to three decimal places as needed.)OB. Ho Hon = HoffH₁ Pon HoffO D. Ho Hon HoffH₁-Hon HoffChoose the correct conclusion.O A. Do not reject Ho. There is sufficient evidence at the a=0.05 level of significance that the ramp meters are effective in maintaining higher speed on the freeway.OB. Reject Ho. There is sufficient evidence at the a= 0.05 level of significance that the ramp meters are effective in maintaining higher speed on the freeway.O C. Do not reject Ho. There is not sufficient evidence at the a=0.05 level of significance that the ramp meters are effective in maintaining higher speed on the freeway.OD. Reject Ho. There is not sufficient evidence at the a= 0.05 level of significance that the ramp meters are effective in maintaining higher speed on the freeway. 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 carsaccessing 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 rampmeters 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 differentMonday 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.0On-Off-1530 45 60MPHQDoes 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.0Off-On-1530MPH4560QSpeed data (in MPH)Ramp Meters On28 48 5538 30 2444455134 5641432648Ramp Meters Off23 26 413536 304737193022 41385041O C.0Off-On-1530Full Data SetMPH45-60X

Question

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 carsOA. 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.OC. Yes, there appears to be a high outlier in the Meters On data.OD. No, there does not appear to be any outliers.(b) Are the ramp meters effective in maintaining a higher speed on the freeway? Use the a=0.05 level of significance. State the null and alternative hypotheses. Choose the correct answer below.OA. Ho Hon HoffH₁ Hon > HoffOC. Ho Hon HoffH₁ Hon Hoff#Determine the P-value for this test.***P-value= (Round to three decimal places as needed.)OB. Ho Hon = HoffH₁ Pon > HoffO D. Ho Hon HoffH₁-Hon > HoffChoose the correct conclusion.O A. Do not reject Ho. There is sufficient evidence at the a=0.05 level of significance that the ramp meters are effective in maintaining higher speed on the freeway.OB. Reject Ho. There is sufficient evidence at the a= 0.05 level of significance that the ramp meters are effective in maintaining higher speed on the freeway.O C. Do not reject Ho. There is not sufficient evidence at the a=0.05 level of significance that the ramp meters are effective in maintaining higher speed on the freeway.OD. Reject Ho. There is not sufficient evidence at the a= 0.05 level of significance that the ramp meters are effective in maintaining higher speed on the freeway. 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 carsaccessing 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 rampmeters 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 differentMonday 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.0On-Off-1530 45 60MPHQDoes 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.0Off-On-1530MPH4560QSpeed data (in MPH)Ramp Meters On28 48 5538 30 2444455134 5641432648Ramp Meters Off23 26 413536 304737193022 41385041O C.0Off-On-1530Full Data SetMPH45-60X

Accepted Answer

The data values are shown below:Ramp meters onRamp meters…