- A Bank Manager Has Developed A New System To Reduce The Time Customers Spend Waiting To Be Served By Tellers During Peak 1 (78.84 KiB) Viewed 48 times
- A Bank Manager Has Developed A New System To Reduce The Time Customers Spend Waiting To Be Served By Tellers During Peak 2 (51.38 KiB) Viewed 48 times
- A Bank Manager Has Developed A New System To Reduce The Time Customers Spend Waiting To Be Served By Tellers During Peak 3 (38 KiB) Viewed 48 times
- A Bank Manager Has Developed A New System To Reduce The Time Customers Spend Waiting To Be Served By Tellers During Peak 4 (62.6 KiB) Viewed 48 times
A bank manager has developed a new system to reduce the time customers spend waiting to be served by tellers during peak business hours. Typical waiting times during peak business hours under the current system are roughly 9 to 10 minutes. The bank manager hopes that the new system will lower typical waiting times to less than 6 minutes and wishes to evaluate the new system. When the new system is operating consistently over time, the bank manager decides to select a sample of 100 customers that need teller service during peak business hours. Specifically, for each of 100 peak business hours, the first customer that starts waiting for teller service at or after a randomly selected time during the hour will be chosen. DpictureClick here for the Excel Data File Consider the peak business hours from 2:00p.m. to 2:59 p.m., from 3:00 p.m. to 3:59 p.m., from 4:00 p.m. to 4:59 p.m., and from 5:00 p.m. to 5:59 p.m. on a particular day. Also, assume that a computer software system generates the following four random numbers between 00 and 59: 32.00, 18, and 47. This implies that the randomly selected times during the first three peak business hours are 2:32 p.m., 3:00 p.m., and 4:18 p.m. What is the randomly selected time during the fourth peak business hour? Peak business hour When each customer is chosen, the number of minutes the customer spends waiting for teller service is recorded. The 100 waiting times that are observed are given in Table 1.9. Using the largest and smallest observations in the data, estimate limits between which the walting times of most of the customers arriving during peak business hours would be. Also, estimate the proportion of Walting times of customers arriving during peak business hours that are less than 6 minutes. (Round your answers to 1 decimal place. Omit the "%" sign in your response.) Most waiting times will be from to minutes < Pray 3 of 20 Next >
When each customer is chosen, the number of minutes the customer spends waiting for tel times that are observed are given in Table 1.9. Using the largest and smallest observations the waiting times of most of the customers arriving during peak business hours would be. times of customers arriving during peak business hours that are less than 6 minutes. (Roun the "%" sign in your response.) to Most waiting times will be from Approximately minutes percent of customers will wait less than 6 minutes. < Prey 3 of 20 BR Next
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