Thirty percent of all customers who enter a department store will make a purchase. Suppose that 6 customers enter the store and that these customers make independent purchase decisions.
a. Find the probability that exactly 5 customers make a purchase
b. Find that probability that at least 3 customers make a purchase
c. Find the probability that two or fewer customers make a purchase
d. Find the probability that at least one customer makes a purchase.
e. As the manager of the department store, how should store associates persuade customers who enter the store to make a purchase?
Thirty percent of all customers who enter a department store will make a purchase. Suppose that...
#2 Eighty-five percent of all customers who enter a store will m ake a purchase. Assume 6 customers enter a store and make independent purchase decisions. Let X the number of customers who will make a purchase. Use the Binomial Table (Table A.1) to calculate the following: (i) The probability that at most 3 customers make a purchase (ii) The probability that at least 3 customers make a purchase (iii) The probability that 4 or more people make a purchase...
Answer the following questions. Please arrange the answers in a direct and easier to understand fashion. For example: 1. Example Answer 2. Example Answer 2 3. Ex Ans... etc. Question 2. A store manager claims that thirty percent of customers who enter the store will make a purchase. Suppose six customers enter the and that these customers make independent purchase decisions a. What is the random variable of interest? b. What is the probability that exactly five customers make a...
Customers enter the camera department of a store with an average of 14.46 minutes between customers. The department is staffed by one employee, who can handle an average of 11.76 customers per hour. Assume this is a simple Poisson arrival, exponentially distributed service time situation. Find the following information to help the manager decide if a second employee should be added: 1) The average number of customers waiting. Please keep 4 decimals. 2)The average time a customer waits (in minutes)....
Question 14 (Mandatory) (6 points) Two customers enter a store. Independently, they make decisions to purchase or not to purchase. The following diagram shows how the outcomes can occur and combine with red bolding of sequence Customer 1 does not purchase and Customer 2 does not purchase Customer 1 Customer 2 purchase suchase (2 purchaseS) Purchase Purchase No purchase purchase no purchase 1 parchase no purchase, purchase (1 purchase No Purchsse No no purchase, no purchase (0 purchases The possible...
7 customers enter a clothing store and are observed to determine if they will make a purchase. The store owner states that there is a 75% chance of a customer making a purchase. The random variable x represents a customer making a purchase. What is the probability that more than 3 customers make a purchase?
80% of visitors to a shoe store purchase something before they leave. Suppose 25 independent customers visit the store. Given that at least 18 customers purchase something, what is the probability that at most 21 customers purchase something?
5. Thirty percent of all automobiles undergoing an emissions inspection at a certain inspection station fail the inspection. In a random sample of 15 selected cars: (round 3 decimal places) a) Find the probability that at most five of the cars fail the inspection. b) Find the probability that at least three of the cars fail the inspection. c) Find the probability that all 15 of the cars fail the inspection. 6. Twenty-five percent of the customers of a grocery...
The assistant manager of a surf shop estimates that 65% of customers will make a purchase. Part A: How many customers should a salesperson expect until he finds a customer that makes a purchase?
Customer arrivals at a checkout counter in a department store have a Poisson distribution with an average of seven per hour. For a given hour, find the probability that a. exactly nine customers arrive b. no more than three customers arrive c. at least two customers arrive
3.8 A marketing survey for a large department store classified the store's customers according to whether they were male or female and according to their residence, suburban or city. The proportions of customers falling in the four categories are shown in the following probability table. Each entry in the table represents a possible outcome of the experiment (a simple event). Sex Residence Male Female total Suburban 17 .67 0.84 City .04 .120.16 total = 0.71 0.791.00 Suppose a single adult...