A telemarketer makes six phone calls per hour and is able to make a sale on 30 % of these contacts. During the next two hours, obtain:
A telemarketer makes six phone calls per hour and is able to make a sale on...
A telemarketer, who places random phone calls to potential customers, has a .05 probability of making a sale with every phone call, independently of other phone calls. What is the expected number of calls needed to make the first sale of a day? What is the probability that more than 10 calls will be needed to make the first sale of the day?
Phone calls arrive at the rate of 36 per hour at the reservation desk for Regional Airways. Phone calls arrive at the rate of 36 per hour at the reservation desk for Regional Airways. a. Compute the probability of receiving three calls in a 5-minute interval of time (to 4 decimals) b. Compute the probability of receiving exactly 12 calls in 15 minutes. (to 4 decimals) c. Suppose no calls are currently on hold. If the agent takes 5 minutes...
Phone calls arrive at the rate of 48 per hour at the reservation desk for Regional Airways. a. Compute the probability of receiving two calls in a 10-minute interval of time. (to 4 decimals) b. Compute the probability of receiving exactly 13 calls in 15 minutes. (to 4 decimals) c. Suppose no calls are currently on hold. If the agent takes 5 minutes to complete the current call, how many callers do you expect to be waiting by that time?...
Let the mean success rate of a Poisson process be 11 successes per hour. a. Find the expected number of successes in a 24 minutes period. (Round your answer to 4 decimal places.) b. Find the probability of at least 2 successes in a given 24 minutes period. (Do not round intermediate calculations. Round your final answer to 4 decimal places.) c. Find the expected number of successes in a two hours period. (Round your answer to 4 decimal places.)...
A study of long-distance phone calls made from General Electric Corporate Headquarters in Fairfield, Connecticut, revealed the length of the calls, in minutes, follows the normal probability distribution. The mean length of time per call was 3.8 minutes and the standard deviation was 0.70 minutes. Use Appendix B.3. What is the probability that calls last between 3.8 and 4.5 minutes? (Round your z value to 2 decimal places and final answer to 4 decimal places.) What is the probability that...
Let the mean success rate of a Poisson process be 8 successes per hour. Let the mean success rate of a Poisson process be 8 successes per hour. a. Find the expected number of successes in a 33 minutes period. (Round your answer to 4 decimal places.) Expected number of successes b. Find the probability of at least 2 successes in a given 33 minutes period. (Round your answer to 4 decimal places.) Probability c. Find the expected number of...
A study of long-distance phone calls made from General Electric Corporate Headquarters in Fairfield, Connecticut, revealed the length of the calls, in minutes, follows the normal probability distribution. The mean length of time per call was 4.00 minutes and the standard deviation was 0.40 minutes. a. What fraction of the calls last between 4.00 and 4.60 minutes? (Round z-score computation to 2 decimal places and your final answer to 4 decimal places.) Fraction of calls b. What fraction of the...
7) A sales firm receives an average of four calls per hour on its toll-free number. For any ) given hour, find the probability that it will receive exactly nine calls from 200 PM-4:00 PM.
Emergency 911 calls to a small municipality in Idaho come in at the rate of one every two minutes. Assume that the number of 911 calls is a random variable that can be described by the Poisson distribution. (a) What is the expected number of 911 calls in one hour? per hour (b) What is the probability of three 911 calls in five minutes? If required, round your answer to four decimal places. (c) What is the probability of no...
Software to detect fraud in consumer phone cards tracks the number of metropolitan areas where calls originate each day. It is found that 4% of the legitimate users originate calls from two or more metropolitan areas in a single day. However, 30% of fraudulent users originate calls from two or more metropolitan areas in a single day. The proportion of fraudulent users is 0.0177%. If the same user originates calls from two or more metropolitan areas in a single day,...