5a)P(X<=20)=
f(x) dx =
(1/30 ) dx =(x/30) |200 =20/30=2/3
P(X>20)=1-P(X<=20)=1-2/3 =1/3
b)
here let x is the time when person arrive the stop
therefore f(x) =1/40 if 0 <x<20 or 40<x <60
also f(x)=1/20 for 20<x<40
hence E(X)=(0+40)/2+(0+20)/2=30 minutes
The bus arrives every 15 minutes starting at 8:00am and leaves
immediately. You arrive at the bus stop with a uniform distribution
between 8:05am and 8:30am and can be described as . Given that the bus arrival
time and the time that you arrive at the bus stop are independent,
what is the PDF of your
wait time?
fx(x) = {1/25, 0<x< 25 0, otherwise
Question D
C. In Regular Bus City, there is a shuttle bus that goes between Stop A and Stop B, with no stops in between. The bus is perfectly punctual and arrives at Stop A at precise five minute intervals (6:00, 6:05, 6:10, 6:15, etc.) day and night, at which point it immediately picks up all passengers waiting. Citizens of Regular Bus City arrive at Stop A at Poisson random times, with an average of 5 passengers arriving every minute,...
QUESTION 7 Buses arrive and depart from a college every 20 minutes. The probability density function for the waiting time t (in minutes) for a person arriving at the bus stop is f (t) = 20 on the interval [0, 20). Find the probability that the person will wait no longer than 5 minutes. 1 20 20 O a. 1 Ob. 5 1 Oc4 3 d. 4 1 100 e.
a) Say you wait for the bus on two independent days. What is the
probability that you wait more than 20 minutes on both days? What
about the probability of waiting more than 20 minutes on just one
of the days?
3. You are to wait for a bus to arrive. The bus arrives every 30 minutes, but you dont know the exact time it will arrive. Thus, you can wait any time between 0 and 30 minutes, and you...
Let X and Y be a
random variable with joint PDF:
f X Y ( x , y ) = { a
y x 2 , x ≥ 1 , 0 ≤ y ≤ 1 0 otherwise
What is a?
What is the conditional PDF of given ?
What is the conditional expectation of given ?
What is the expected value of ?
Let X and Y be a random variable with joint PDF: fxv (, y) = {&, «...
8. Let X and Y be a random variable with joint continuous pdf: f(x,y)- 0< y <1 0, otherwise a. b. c. Find the marginal PDF of X and Y Find the E(X) and Var(X) Find the P(X> Y)
3. Let X be a continuous random variable with the following PDF f(x) = ( ke 2 x 20 f(x)= otherwise where k is a positive constant. (a). Find the value of k. (b). Find the 90th percentile of X.
2. Let X be a continuous random variable with pdf ( cx?, [xl < 1, f(x) = { 10, otherwise, where the parameter c is constant (with respect to x). (a) Find the constant c. (b) Compute the cumulative distribution function F(x) of X. (c) Use F(x) (from b) to determine P(X > 1/2). (d) Find E(X) and V(X).
A bus arrives at a stop every 15 minutes exactly, in a very consistent way, very easily drawn. A passenger is not aware of the schedule, and arrives randomly at the stop. Let X represent the number of minutes they wait for the bus to arrive. What type of random variable is X, if the passenger arrives completely randomly at the stop? Circle the correct answer: Discrete Normal Uniform Sketch a picture for X based upon your answer to part...
2. Let X be a continuous random variable with pdf f(x) = { cr", [w] <1, f() = 0. Otherwise, where the parameter c is constant (with respect to x). (a) Find the constant c. (b) Compute the cumulative distribution function F(2) of X. (c) Use F(2) (from b) to determine P(X > 1/2). (d) Find E(X) and V(X).