Annie and Alvie have agreed to meet between 5:00 p.m. and 6:00 p.m. for dinner at a local health-food restaurant. Let X=Annie's arrival time and Y=Alvie's arrival time. Suppose X and Y are independent with each uniformly distributed on the interval [5, 6]. a. What is the joint pdf of X and Y? b. What it the probability that they both arrive between 5:00 and 5:30 p.m.?
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- The conditional probability of E given that F occurs is P(EF)=___________. So in rolling a die the conditional probability of the event E, getting a six, given that the event F, getting an even number, has occurred is P(EF)=___________.Annie and Alvie have agreed to meet between 5:00 p.m.and 6:00 p.m. for dinner at a local health-food restaurant.Let X 5 Annie’s arrival time and Y 5 Alvie’s arrivaltime. Suppose X and Y are independent with each uniformlydistributed on the interval [5, 6].a. What is the joint pdf of X and Y?b. What is the probability that they both arrive between5:15 and 5:45?c. If the first one to arrive will wait only 10 min beforeleaving to eat elsewhere, what is the probability thatthey have dinner at the health-food restaurant? [Hint:The event of interest is A5{(x, y): u x2y u # 1y6}.]A train’s arrival time at the station is T minutes past noon, where the PDF of T is given below. Given that the train hasn’t arrived by 12:05, what is the probability that it arrives by 12:10?
- The pdf of a continuous random variable is defined as f(x)=8.75/x2 over (8.75, ∞) and 0 elsewhere. Find P( X > 65). (Round your answer to three decimal places).The amount of time it takes Lexie to wait for the bus is continuous and uniformly distributed between 3 minutes and 16 minutes. What is the probability that it takes Lexie between 6 and 7 minutes given that it takes less than 11 minutes for her to wait for the bus? Provide the final answer as a fraction.A harried passenger will be several minutes late for a scheduled 10 A.M. flight to NYC. Nevertheless, he might still make the flight, since boarding is always allowed until 10:10 A.M., and boarding is sometimes permitted up to 10:30 AM. Assuming the end time of the boarding interval is uniformly distributed over the above limits, find the probability that the passenger will make his flight, assuming he arrives at the boarding gate at 10:25.
- Suppose that the probability density function of a random variable X is as follows: f(x)= cx, for0<x<4; 0, otherwise. (a) Find c.(b) Find the cumulative distribution function F and sketch it.The time for the first widget to be manufactured each morning is random between 1 and 3 seconds with a pdf of f(x)=1/162(x-3)^2(x+6) for 0 < x < 6What is the cumulative distribution function, F(x)? What is the probability of a widget being made earlier than 4 s?Answer to four decimal places What is the probability of a widget being made later than 1.3 s?Answer to four decimal placesFind (a) the mean of the distribution, (b) the standard devia- tion of the distribution, and (c) the probability that the random variable is between the mean and 1 standard deviation above the mean.The length (in centimeters) of the leaf of a certain plant is a continuous random variable with probability density function defined by ƒ(x) = 5/7 for x in [3, 4.4]
- Suppose an electric-vehicle manufacturing company estimates that a driver who commutes 50 miles per day in a particular vehicle will require a nightly charge time of around 1 hour and 30 minutes (90 minutes) to recharge the vehicle's battery. Assume that the actual recharging time required is uniformly distributed between 70 and 110 minutes. (a) Give a mathematical expression for the probability density function of battery recharging time for this scenario. f(x) = , 70 ≤ x ≤ 110 , elsewhereLet X be a random variable with pdf given by fX(x) = 1/[π(1 + x2)] for all real number x. Prove that X and 1/X are identically distributed by showing that they have the same probability distribution.