You want to know the opinions of drivers with valid licenses across America on the issue of establishing a law that requires individuals to take and pass another driver's test at the age of 65 to determine whether they may retain their license. You obtain a list of all licensed drivers and mail a survey to a random sample of 10,000 drivers. Of those, 6,457 responded and 46% say they favor the test. Which of the following statements is true? (5 points) A. Because random sampling is used, we can feel confident that the percentage of all
drivers with a valid license who say they favor the test is close to 46%.
B. The results of this survey may be affected by nonresponse bias.
C. We cannot trust these results because the survey was mailed. Only survey results
from face-to-face interviews are considered valid.
D. Because more than half of those who were mailed the survey actually responded,
we can feel fairly confident that the actual percentage of all drivers with a valid
license who say they favor another test is close to 46%.

When booking personal travel by air, one is always interested in actually arriving at one’s final destination even if that arrival is a bit late. the key variables we can typically try to control are the number of flight connections we have to make in route, and the amount of layover time we allow in those airports whenever we must make a connection. the key variables we have less control over are whether any particular flight will arrive at its destination late and, if late, how many minutes late it will be. for this assignment, the following necessarily-simplified assumptions describe our system of interest: the number of connections in route is a random variable with a poisson distribution, with an expected value of 1. the number of minutes of layover time allowed for each connection is based on a random variable with a poisson distribution (expected value 2) such that the allowed layover time is 15*(x+1). the probability that any particular flight segment will arrive late is a binomial distribution, with the probability of being late of 50%. if a flight arrives late, the number of minutes it is late is based on a random variable with an exponential distribution (lamda = .45) such that the minutes late (always rounded up to 10-minute values) is 10*(x+1). what is the probability of arriving at one’s final destination without having missed a connection? use excel.