In: Statistics and Probability
The maximum amount of time a guest at the Holiday Inn can wait for an elevator is 4 minutes. Assuming the wait time follows a uniform distribution:
How long should a guest expect to wait?
What is the standard deviation of wait times?
What is the probability that a guest waits exactly 2 minutes for the elevator?
What is the probability that a guest waits more than 3 minutes?
What is the probability that a guest waits less than 90 seconds?
What is the probability that a guest waits between 1 minute and 2:30 for the elevator?
This is a uniform distribution with
Since we know that
Probability density function of a uniform distribution is
This implies that
Cummulative density function of a uniform distribution is
a)Since we also know that
Mean of a uniform distribution is the average of its interval
i.e.
Mean = 2.0
b) Also
Variance = 1.3333
Standard Deviation = 1.1547
c) For a continous probability distribution, probablity at a
particular point is equal to zero
P(X=2) = 0
d) Pr(X>x) = 1- F(x)
Where x = 3
Pr(X>3.0) = 0.25
e) Pr(X<x) = F(x)
Where x = 1.5
Pr(X<1.5) = 0.375
f) Pr(x1<X<x2) = F(x2) -
F(x1)
Where x1 = 1
x2 = 2.5
Pr(1.0<X<2.5) = 0.375