A TV provider has 300,000 customers and is considering unlimited movie streaming services. A random sample of 256 customers is asked what they would be willing to pay per month for the unlimited movie streaming services. the same average of the responses is $15 and the standard deviation is $16.

1. Consider all 300,000 customers. What is the average price that they would be willing to pay for unlimited movie streaming? What is the associated standard error (in $)?

2. What is the 90% confidence interval for the average of what all the customers (300,000) would pay?

3. Will the histogram of the prices given by customers in the sample be a good fit for the normal curve? What about the histogram of the prices if the TV provider company asked all 300,000 customers? What about the probability histogram of the sample average price?

Booked Solid, a small independent bookstore in Bradford is trying to decide whether to discontinue selling magazines. The owner suspects that only 7% of the customers buy a magazine and thinks that she might be able to use the display space to sell something more profitable. Before making a final decision, she decides that for one day he'll keep track of the number of customers and whether or not they buy a magazine.

1. What is the probability that exactly 5 of the first 15 customers buy magazines? Round your answer to 4 decimal places.
2. 
   What is the probability that at least 5 of her first 50 customers buy magazines? (10 points)
   3. She had 280 customers that day. Assuming this day was typical for her store, what would be the mean and standard deviation of the number of customers who buy magazines each day? (10 points)
   4. Surprised by the high number of customers who purchased magazines that day, the owner decided that her percentage estimate of customers who still buy magazines must have been too low. How many magazine sales would it have taken to convince you? Justify your answer.

1. National Bank (see previous problem: pasted down below) is considering adding a second teller to the lunch-time situation to alleviate congestion. If the second teller is added, find the following:
   1. The average teller utilization
   2. The probability that there are 0 customers in the system
   3. The average number of customers in line
   4. The average time a customer waits before it seeing the teller
   5. The average time a customer spends in the service system
   6. If the tellers are paid $15/hour, is it worth adding the second teller (Hint: answer the question by only looking at the single hour by comparing 1 vs. 2 people)

To help answer the question, here is the "previous problem":

1. National Bank currently employs a single teller to assist customers over their lunch breaks. The typical arrival rate of customers is 11 people per hour where the teller can service people at a rate of 12 customers per hour. Assuming the standard assumptions of queuing models are met, find the following:
   1. The utilization of the teller
   2. The probability that there are 0 customers in the system, 8 customers in the system.
   3. The average number of customers in line
   4. The average time a customer waits before it seeing the teller
   5. The average time a customer spends in the service system

simulate the reception of a bank in C++ .

You will have customers requesting transactions (open account, deposit money, close account, withdraw money). You are required to simulate per the following parameters and rules: Customers coming at random times Each customer will require random amount of service time You may have 1-3 tellers based on the # of customers Once you have more than 4 customers waiting you need to get the 2nd teller Once you have more than 8 customers waiting you need to get the 3rd teller Once the line size gets smaller, you should remove the tellers in opposite order of their addition (the last one joining should be the first one leaving) The reception operates from 10:00 AM until 1:00 PM At the end of the day, you need to run the following reports: A list of customers coming along with the type of transactions they requested. This report should be sorted by: Last name of the customer Amount of money involved Time of arrival Average waiting time per customers Average number of customers waiting

Firms A and B are in a market of fixed size (Size = 1), developing a product for their customers. The more R and D they undertake i.e. the more time they spend, the better product they are able to launch in the market. However, the firms are facing a constraint; whoever launches their product first, will gain a market share of customers that cannot be transferred to their opponent. In this case the opponent will obtain the remainder of the customers in the market. If both A and B launch their product at the same time, the share of customers will be equally divided amongst them. Each firm has to choose time t at which they will launch their product in the market. The share of customers in the market is defined by the function f(t)=t where f(0)=0 and f(1)=1 (The share of customers in the market is a function that increases over time with the lowest share being 0 and the maximum share of customers equal to 1). Assume time and hence market share of customers is perfectly divisible over the spectrum of time defined as t = {0..............1}. Hint: This means that any fractional amount of time and hence market share is possible 1/3,1/4, 1/6 etc,

Kindly post the steps in detail

A company needs to open new warehouses to distribute products to the customers in two different regions. The company has to decide where to open warehouses and in which capacity should be preferred for them. Past data shows that average daily demand of customers are 1000 units for the customers in region 1 and 1200 units for the customers in region 2. There are two possible locations to open a warehouse. The daily equivalent setup cost of opening a warehouse at location alternative A requires $1,000 for a warehouse with delivery capacity of 1000 units per day and it requires $1,500 for a warehouse with delivery capacity of 2200 units per day. The daily equivalent setup cost of opening a warehouse at location alternative B is $550 for a warehouse with a maximum capacity of 1200 units per day. Delivery costs are as follows: $1 from a warehouse located at A to the customers in region 1; $1.5 from a warehouse located at A to the customers in region 2; $1.5 from a warehouse located at B to the customers in region 1; $1 from a warehouse located at B to the customers in region 2. Develop a linear mathematical model for minimizing total daily equivalent cost of distribution system

QUESTION 19

1. Health care insurance or health insurance is a contract between a poliyholder and a third-party payer or government health program. It exists to reimburse the policyholder for all or a portion of the cost of medically necessary treatment or preventive care provided by health care professionals.

   True

   False

3 points   

QUESTION 20

1. The POR is a systematic method of documentation that includes a database, problem list, initiitial plan and progress notes.

   True

   False

QUESTION 24

1. HIPAA has never established a security rule.

   True

   False

QUESTION 27

1. Residents in a teaching hospital are not allowed to document physicians services in the patient's medical record.

   True

   False

3 points   

QUESTION 28

1. Patients have right of access to medical records but do not own the original record.

   True

   False

Suppose you ask a friend to randomly choose an integer between 1 and 10, inclusive. What is the probability that the number will be more than 5 or odd? (Enter your probability as a fraction.)

Two dice are rolled. Determine the probability of the following. ("Doubles" means both dice show the same number.)

rolling a 4 or doubles

Use the data in the table below, which shows the employment status of individuals in a particular town by age group.

If a person is randomly chosen from the town's population, what is the probability that the person is under 18 or employed part-time?

The age distribution for the employees of a highly successful “start-up” company head-quarted in Jakarta is shown in the following data. Age 20 21 22 23 24 25 26 27 28 29 30 31 32 33 Proportion 0.02 0.04 0.05 0.07 0.04 0.02 0.07 0.02 0.11 0.07 0.09 0.13 0.15 0.12 An employee is to be randomly selected from this population.

a. Can the relative frequency distribution in the table be interpreted as a probability distribution? Explain.

b. Graph the probability distribution.

c. What is the probability that the randomly selected employee is under 30 years old?

d. What is the probability that the randomly selected employee is over 40 years old?

e. What is the probability that the randomly selected employee will be between 25 to 30 years old?

A person's blood glucose level and diabetes are closely related. Let x be a random variable measured in milligrams of glucose per deciliter (1/10 of a liter) of blood. Suppose that after a 12-hour fast, the random variable x will have a distribution that is approximately normal with mean μ = 90 and standard deviation σ = 27. Note: After 50 years of age, both the mean and standard deviation tend to increase. For an adult (under 50) after a 12-hour fast, find the following probabilities. (Round your answers to four decimal places.)

(a) x is more than 60

(b) x is less than 110

(c) x is between 60 and 110

(d) x is greater than 125 (borderline diabetes starts at 125)