Consider the sample space of all people living in the United States, and within that sample space, the following two events. A = people who are Hispanic B = people who are farsighted Suppose the following statements describe probabilities regarding these two events. Which of the statements describe conditional probabilities? Select all that apply. There is a 25.9% probability that a person is Hispanic or farsighted. Eleven point one percent of farsighted people are Hispanic. Of people living in the United States, 17.1% are Hispanic. The probability is 6.4% that a Hispanic person is farsighted. One point one percent of people living in the United States are farsighted Hispanics. There is a 9.9% chance that a randomly chosen person is farsighted.

Your client has saved $1,860 for a down payment on a house. a government loan program requires a down payment equal to 3% of the loan amount. what is the largest loan amount that your client could receive with this program

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.

Graph the system of equations. { x-y=6 4x+y=4use the line tool to graph the lines. where do i put each point?