Speed cameras (SC) are used to reduce the risk ofaccidents in accident-prone zones in metropolitan cities. To study the effectiveness ofspeed cameras, transport engineers would like to compare the average number ofaccidents in junction A (with SC) and junction B (without SC). The number ofaccidents in 105 weeks in two junctions are provided below.Junction Awith SCJunction Bwithout SCNumber of Accidents 01 2 3 4 5 6 7+Observed frequency 40 20 15 16 10 3 1 0Number of Accidents 0 1 2 3 4 5 6 7+Observed frequency 25 24 18 15 18 41 0Find an estimates of the average number of accidents per week in two differentjunctions.

Here given, Speed cameras (SC) are used to reduce the risk of accidents in accident-prone zones in…

Answered: Find an estimates of the average number…

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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The highway department wants to estimate the proportion of vehicles on a Highway at KM 25 between midnight and 5:00 A.M. The head of the department wants to see how many 18-wheel tractor trailers pass on the road. These estimates will be used to determine highway repairs and construction considerations and in highway patrol planning. The department chief asked investigators to calculate estimates of vehicles at different locations on inter-island roads over the past 7 days. From 3,481 vehicles counted there are 927 are 18-wheel drive. However, out of the total 927, there were 51 vehicles that had accidents so that the sample was calculated based on the results of a reduction in the number of accidents. Specify an approximate point for the proportion of vehicles performingtravel on KM 25 during this time period which is an 18-wheeled vehicle!(Assume the confidence level is 99%). What are the benefits of estimating value estimates in this case (analysis of the answers you have obtained)?
The following table shows the square footage of houses in an area that sold recently along with the selling price. Sq. Ft. Price 2096, 295000, 3160, 338000, 2320, 265000, 3150, 365000, 2760, 330000, 3650, 412000, 2125, 320000, 3085, 342000, 4750, 485000, 2100, 320000, 3100, 316000, 2240, 321000, 3300, 347000, 2800, 350000, 2825, 330000, 3275, 420000 1. Find the equation of the regression line (line of best fit). 2. Determine if there is a strong linear correlation. 3. If there is a strong linear correlation predict the selling price of a 3333 sq. ft. home
Jerry is considering opening a new ice cream store at a certain location on State Street in Madison. Jerry conducts some analysis and determines that a given location is acceptable only if the number of pedestrians passing the potential location averages more than 100 per hour. To check if this location is acceptable, Jerry records the number of pedestrians observed for each of 40 hours. Jerry finds that the average number of pedestrians that pass the potential location during each of the 40 hours he was observing, is 105.7 per hour. Jerry assumes that he knows the population standard deviation to be 16. Can Jerry conclude at the 1% significance level that the potential location for the ice cream store is acceptable? a. What is the correct set of hypotheses? Answer: Ho: u = 100 and H1: u> 100 v b. Determine the p-value Answer: 0.0122 c. Interpret the results Answer: There is not enough evidence d. Jerry is concerned with committing a Type II error. Determine the probability of Type II…
Suppose the prevalence of "dance fever" at a college is 40% among women and 10% among men. If there are half as many men as women, what is the overall prevalence of dance fever at the college? What proportion of people without dance fever at that college are women?
When the measure of spread is compared between two data sets, data set A has an interquartile range of 12, and data set B has an interquartile range of 23. How do the values of data set A compare to data set B? The values of data set A are about the same on average as the values of data set B. The values of data set A are more spread out compared to the values of data set B. The values of data set A are less spread out compared to the values of data set B. The values of data set A are less on average compared to the values of data set B.
suppose 15 percent of the computers in some university labs are defective

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Find an estimates of the average number of accidents per week in two different junctions.