In: Statistics and Probability
The number of customer arrivals at a bank's drive-up window in a 15-minute period is Poisson distributed with a mean of seven customer arrivals per 15-minute period. Define the random variable x to be the time (in minutes) between successive customer arrivals at the bank's drive-up window. (a) Write the formula for the exponential probability curve of x. (c) Find the probability that the time between arrivals is (Round your answers to 4 decimal places.) 1.Between one and two minutes. 2. Less than one minute 3. More than three minutes. 4. Between 1/2 and 3½ minutes. (d) Calculate μx, σ2x , and σx. (e) Find the probability that the time between arrivals falls within one standard deviation of the mean; within two standard deviations of the mean. (Round your answers to 4 decimal places.)
a) here expected interarrival time =15/7 minutes
exponential probability curve of x f(x)=(7/15)e-7x/15 for x >0
1
P(.Between one and two minutes)
P(1<X<2)=(1-exp(-2/2.14285714285714)-(1-exp(-1/2.14285714285714))= | 0.2338 |
2)
P( Less than one minute):
P(X<1)=1-exp(-1/2.14285714285714)= | 0.3729 |
3)
P(More than three minutes):
P(X>3)=1-P(X<3)=1-(1-exp(-3/2.14285714285714))= | 0.2466 |
4)
P(0.5<X<3.5)=(1-exp(-3.5/2.14285714285714)-(1-exp(-0.5/2.14285714285714))= | 0.5966 |
d)
mean μ = | 1/λ=β = | 2.1429 |
varaince =σ2= | 1/λ2=β2 = | 4.5918 |
standard deviation σ= | 1/λ=β = | 2.1429 |
e)
probability that the time between arrivals falls within one standard deviation of the mean:
P(0<X<4.28571428571429)=(1-exp(-4.28571428571429/2.14285714285714)-(1-exp(-0/2.14285714285714))= | 0.8647 |
f)
P(0<X<6.42857142857143)=(1-exp(-6.42857142857143/2.14285714285714)-(1-exp(-0/2.14285714285714))= | 0.9502 |