The time to process orders at the service counter of a pharmacy store are exponentially distributed with mean 5 minutes. Suppose that 100 customers visit the counter in a day. Use CLT to estimate the following.
(1) What is the probability that the total service time of the 100 customers does not exceed 10 hours?
(2) What is the probability that at least half of the 100 customers need to wait more than 3.47 minutes? (Note: to simply the calculations, you could use the fact that 3.47 ≈ 5 ln 2)
Let X be the time to process orders at the service counter of a pharmacy store.
X~Exp(mean=5 minutes)
n=100
To find
Now
Let X be the number of customers who have to wait more than 3.47 minutes
Using binomial distribution
=
Answer is 0.5
The time to process orders at the service counter of a pharmacy store are exponentially distributed...
Service time for a customer coming through a checkout counter in a retail store is a random variable with the mean of 4.0 minutes and standard deviation of 1.5 minutes. Suppose that the distribution of service time is fairly close to a normal distribution. Suppose there are two counters in a store, n1=41 customers in the first line and n2=51 customers in the second line. a.Compute the mean and the variance of X1 bar−?2 bar. b.Find the probability that the...
Service time for a customer coming through a checkout counter in a retail store is a random variable with the mean of 2.0 minutes and standard deviation of 4.0 minutes. Suppose that the distribution of service time is fairly close to a normal distribution. Suppose there are two counters in a store, n = 31 customers in the first line and n2 = 42 customers in the second line. Find the probability that the difference between the mean service time...
You want to buy a box of true at a chocolate store. (a) The time T (in minutes) you wait for service at the chocolate store is exponentially distributed. If the median waiting time is 5 minutes, what is the mean waiting time? [4] (b) The weights W (in grams) of boxes of true at the store are normally distributed with mean 200 grams and the standard deviation is 20 grams. What is the probability that the box of true...
bution The time required to fill a prescription at a local pharmacy is at is normally distributed with a mean of 10 minutes and a standard deviation of 2 minutes. a. What is the probability that a randomly selected customer experiences a wait-time of less than 5 minutes? b. Find the wait time that defines the upper 1 percent. bution The time required to fill a prescription at a local pharmacy is at is normally distributed with a mean of...
Suppose that the amount of service(ordering a coffee and getting it done) time at a KU driving- through coffee shop is exponentially distributed with an expected value of 10 minutes. You arrive at the driving-through line while one customer is being served and one other customer is waiting in the line. The staff of the coffee shop informs you that the customer has already ordered a Cafe Latte and waited for 5 minutes. What is the probability that the customer...
13. (Bonus, 10 points) The service times for customers coming through a checkout counter in a retail store are independent random variable with a mean of 2.2 minutes and a standard deviation of 1.2 minutes. Is it reasonable to require that 100 customers to be served in less than 3 hours of total service time? Use a probability to explain your reasoning. Hint: This is not a hypothesis test problem because ju is known. Use the sampling distribution of the...
At a restaurant the time between two consecutive to-go orders is exponentially distributed with a rate of λ = 0.05/min. Answer the following questions - round to 3 significant digits after decimal. If a to-go order has just come, what is the probability that the next order will come in less than 17 minutes? 0.573 Computer's answer now shown above. You are correct. Previous Tries Your receipt no. is 158-3296 For quality control study, a random sample of 47 to-go...
The wait time (after a scheduled arrival time) in minutes for a train to arrive is Uniformly distributed over the interval [0, 12]. You observe the wait time for the next 100 trains to arrive. Assume wait times are independent. Part a) What is the approximate probability (to 2 decimal places) that the sum of the 100 wait times you observed is between 565 and 669? Part b) What is the approximate probability (to 2 decimal places) that the average of the...
(1 point) Afactory's worker productivity is normally distributed. One worker produces an average of 73 units per day with a standard deviation of 23. Another worker produces at an average rate of 68 units per day with a standard deviation of 20. A. What is the probability that in a single day worker 1 will outproduce worker 2? Probability = B. What is the probability that during one week (5 working days), worker 1 will outproduce worker 2? Probability =...
Consider the case of a grocery store where the interarrival time between two customers consecutively entering the store is known to be exponentially distributed. Previously collected data shows that 1800 customers were recorded to have entered the store in 300 hours. Answer the following: (a) What is the probability density function for the inter-arrival time (in minutes) between two consecutively arriving customers? (15) (b) What is the probability that the next customer will arrive AFTER five minutes? (10) (c) What...