Suppose a marketing company wants to determine the current proportion of customers who click on ads on their smartphones. It was estimated that the current proportion of customers who click on ads on their smartphones is 0.39 based on a random sample of 100 customers. Compute a 95% confidence interval for the true proportion of customers who click on ads on their smartphones and fill in the blanks appropriately.

Answer:

___<P<____ (3 decimal Places)

It is assumed that there is an average of 12 customers per hour at a service counter according to a Poisson process.

a) How likely is it that 4 customers show up at this counter in the next 15 minutes?

b) Given that 4 customers showed up at this counter in a given 15-minute period, what is the probability that there were at least 2 customers that showed up in the last 5 minutes of this period?

You own a small company. Last year you conducted a study to learn more about your customers. You found that the mean age of your customers was 31.84 years with a standard deviation of 9.84 years. This year you take a random sample of 60 customers. What is the probability that the mean age of those 60 customers is greater than 33 years?

QUESTION 1

1. Use the following scenario and data for all questions
   An auto service center provides two types of services, Tire Replacement (T) and Oil Change (O). About 30% of the customers are for Tire Replacement and the other 70% are for Oil Change. All customers are serviced on a first come first served basis. During regular hours, customers arrive at the service center according to the probability distribution in the following table
   
   Two technicians are working at the service center and both of them are skillful enough for both Tire Replacement and Oil Change. Once finishing the job for a customer, a technician will take care of the next customer waiting in line. When both technicians are idle, the one who finished the last job earlier will take care of the next incoming customer. The times taken by the two jobs by any of the technicians follow the probability distributions in the following tables. You are required to simulate the operations of the auto service center for 15 customers.
   
   Before answering the following questions, you may use the following tables to determine the cumulative probability distributions and assign random number intervals for customer arrivals, customer service types, and time needed for both types of services.
   
   
   You may also simulate the operations of this auto service center for the 15 customers using the random numbers given in the following table. The “Start Time” is the time point when the job for the customer starts and the “Finish Time" is the time point when the job for the customer finishes.
   
   
   
   
   For customer arrivals, the random number interval assigned to the Time between Arrivals of 5 minutes is

   		0.0000-0.1499
   		0.1500-0.3999
   		0.4000-0.7999
   		0.8000-0.9999
   		None of the above

1 points   

QUESTION 2

1. For customer arrivals, the random number interval assigned to the Time between Arrivals of 15 minutes is

   		0.0000-0.1499
   		0.1500-0.3999
   		0.4000-0.7999
   		0.8000-0.9999
   		None of the above

1 points   

QUESTION 3

1. For the Customer Service Type, the random number interval assigned to Tire Replacement is

   		0.0000-0.6999
   		0.0000-0.2999
   		0.2999-0.9999
   		0.3000-0.9999
   		None of the above

1 points   

QUESTION 4

1. For the Customer Service Type, the random number interval assigned to Oil Change is

   		0.0000-0.6999
   		0.0000-0.2999
   		0.2999-0.9999
   		0.3000-0.9999
   		None of the above

1 points   

QUESTION 5

1. For the Tire Replacement, the random number interval assigned to Service Time 25 minutes is

   		0.0000-0.1999
   		0.2000-0.4499
   		0.4500-0.8499
   		0.8500-0.9999
   		None of the above

1 points   

QUESTION 6

1. For the Tire Replacement, the random number interval assigned to Service Time 35 minutes is

   		0.0000-0.1999
   		0.2000-0.4499
   		0.4500-0.8499
   		0.8500-0.9999
   		None of the above

1 points   

QUESTION 7

1. For the Oil Change, the random number interval assigned to the Service Time 15 minutes is

   		0.0000-0.2999
   		0.3000-0.6999
   		0.7000-0.8999
   		0.9000-0.9999
   		None of the above

Once the independent and dependent variables are identified correctly, regression analysis is often thought of as a Three Step Process:

1. What is the conclusion of the null hypothesis, Ho: B1=0;
2. If there is an association between X and Y, how strong is this association?
3. What are the values of the regression coefficients?

How would you explain this three step process to someone who has no knowledge of regression analysis?

What is the difference between a call and a put option? (Be clear in your answer.) What does the exercise—or strike—price denote? Of the five inputs discussed, what are three important inputs in the Black-Scholes option pricing model? For each of the three that you have chosen, what happens to the call option premium, all else being equal, when that variable increases?

A firm has narrowed down the search for its new plant location to three locations. The fixed and variable costs for each of the three locations are as given below:

The break-even quantity between C and B is more than 20,000 units.

True

False

0.170g of caffeine is dissolved in 10.0mL of water. The caffeine is extracted from the aqueous solution three times with 5.0-mL portions of methylene chloride. Calculate the total amount of caffeine that can be extracted into three portions of methylene chloride. Caffeine has a distribution coefficient of 4.6 between methylene chloride and water.

Please explain throughoutly. This is my first time working with extraction question

What are the similarities and differences between the conventional waterfall model and the Unified Process model? Identify and explain three advantages and three disadvantages of each of these two models.

combines below questions together too

Explain in an essay why the waterfall process is a process for solving tame problems. also Explain in an essay how agile development tackles application software development as a wicked problem.