onsider the following questions: How much does milk cost on the East Coast of the United States? How many minutes does it take to drive 30 miles at an average speed of 55 miles per hour? What is the age difference between you and your siblings? How many hours of sleep do teenagers get during the school year compared to summer vacation? Define each question as being or not being a statistical question and explain why.

Use graphs to illustrate the difference between a fuel tax and CAFE standard on the marginal cost (to the consumer) per mile driven.

Use what you know about elasticity to discuss why a fuel tax would need to be very high in order to bring about a substantial reduction in miles driven.

Use what you know about supply and demand to discuss why fuel efficiency standards might actually result in more miles driven.

A random sample of Midsize Sedans’ Miles per Gallon (mpg) were recorded and the                   data is listed below. Assume the miles per gallon are normally distributed:

24.6      30.2      29.9      33.1      26.7

28.5      31.6      36.3      24.4      28.7

1. Calculate the mean (1 pt):

2. Calculate the standard deviation (1 pt):

3. Construct a 90% confidence interval for population mean (4 pts):

4. Construct a 95% confidence interval for population standard deviation (4 pts):

Apply the case on facebook or Microsoft.

Regarding the notion of organizational culture, structure and styles of management from the perspectives of Handy’s (1976) and Miles & Snow (1978). These authors provided their frameworks that are different from each other’s. What you have to do:

Take an organization with which you are familiar or imaginary organization and evaluate & relate or apply Handy’s and Miles & Snow’s typologies (scientific/logical classification/steps of organizational culture, structure and styles) that they provided in their approaches or framework.

IN JAVA: Build a class called ExamPractice from scratch. This class should include a main method that does the following:

1. Prompt the user to enter a number of inches
2. Read the number of inches entered from the console
3. Convert the inches into an equivalent number of miles, yards, feet, and inches.
4. Output the results to the console.

For example, if a user entered 100000 inches, the program would output:

100000 inches is equivalent to:

Miles: 1

Yards: 1017

Feet: 2

Inches: 4

You are managing a mutual fund with the following stocks:

What is the beta for this mutual fund (i.e. what is the portfolio beta)?

Banko Inc. manufactures sporting goods. The following information applies to a machine purchased on January 1, 2018:

During 2018, the machine produced 42,000 units and during 2019, it produced 44,000 units.

Required

Determine the amount of depreciation expense for 2018 and 2019 using each of the following methods:

[The following information applies to the questions displayed below.]

Three different companies each purchased trucks on January 1, 2018, for $72,000. Each truck was expected to last four years or 200,000 miles. Salvage value was estimated to be $7,000. All three trucks were driven 67,000 miles in 2018, 42,000 miles in 2019, 40,000 miles in 2020, and 62,000 miles in 2021. Each of the three companies earned $61,000 of cash revenue during each of the four years. Company A uses straight-line depreciation, company B uses double-declining-balance depreciation, and company C uses units-of-production depreciation.

Answer each of the following questions. Ignore the effects of income taxes.

1. a-1. Calculate the net income for 2018? (Round "Per Unit Cost" to 3 decimal places.)

a-2. Which company will report the highest amount of net income for 2018?

• Company A

• Company B

• Company C

• All of the choices

Mahoney Moving Corporation purchased a new moving truck on January 2, 2014, for $95,000. The truck was expected to have a useful life of 4 years and a residual value of $15,000. The company estimated that the moving truck would be driven for a total of 20,000 miles. It was driven for 5,000 miles in 2014, 6,000 miles in 2015, 4,000 miles in 2016, and 5,000 miles in 2017. The company’s fiscal year ends on December 31.

Required:

1. Complete the following depreciation schedules for each year and be sure to show all of your handwritten calculations for the solutions for your depreciation schedules.

2. Create your own Excel Depreciation Spreadsheet using the following format for your own assignment.

3. Use mathematical formulas in your Excel Spreadsheet

Straight Line Depreciation

Year Depreciation Expense Accumulated Depreciation Book Value

2014 __________________ ______________________ __________

2015 __________________ ______________________ __________

2016 __________________ ______________________ __________

2017 __________________ ______________________ __________

Double Declining Balance

Year Depreciation Expense Accumulated Depreciation Book Value

2014 __________________ ______________________ __________

2015 __________________ ______________________ __________

2016 __________________ ______________________ __________

2017 __________________ ______________________ __________

Units of Production

Year Depreciation Expense Accumulated Depreciation Book Value

2014 __________________ ______________________ __________

2015 __________________ ______________________ __________

2016 __________________ ______________________ __________

2017 __________________ ______________________ __________

What would the general journal entry be if the Mahoney Moving Corporation was using the Straight Line Depreciation Method and the moving truck was sold for $30,000 at the end of 2015?

4. What would the general journal entry be if the Mahoney Moving Corporation used the Double-Declining Balance Depreciation method and the moving truck was sold for $40,000 at the end of 2016?

5. What would the general journal entry be if the Mahoney Moving Corporation used the Production Depreciation method and the moving truck was sold for $10,000 at the end of 2017?

A tire manufacturer produces tires that have a mean life of at least 25000 miles when the production process is working properly. The operations manager stops the production process if there is evidence that the mean tire life is below 25000 miles.

The testable hypotheses in this situation are ?0:?=25000H0:μ=25000 vs ??:?<25000HA:μ<25000.

1. Identify the consequences of making a Type I error.
A. The manager does not stop production when it is not necessary.
B. The manager stops production when it is necessary.
C. The manager stops production when it is not necessary.
D. The manager does not stop production when it is necessary.

2. Identify the consequences of making a Type II error.
A. The manager does not stop production when it is not necessary.
B. The manager does not stop production when it is necessary.
C. The manager stops production when it is necessary.
D. The manager stops production when it is not necessary.

To monitor the production process, the operations manager takes a random sample of 30 tires each week and subjects them to destructive testing. They calculate the mean life of the tires in the sample, and if it is less than 24000, they will stop production and recalibrate the machines. They know based on past experience that the standard deviation of the tire life is 3250 miles.

3. What is the probability that the manager will make a Type I error using this decision rule? Round your answer to four decimal places.

4. Using this decision rule, what is the power of the test if the actual mean life of the tires is 23750 miles? That is, what is the probability they will reject ?0H0 when the actual average life of the tires is 23750 miles? Round your answer to four decimal places.

A tire manufacturer produces tires that have a mean life of at least 32500 miles when the production process is working properly. The operations manager stops the production process if there is evidence that the mean tire life is below 32500 miles.

The testable hypotheses in this situation are ?0:?=32500H0:μ=32500 vs ??:?<32500HA:μ<32500.

1. Identify the consequences of making a Type I error.
A. The manager stops production when it is necessary.
B. The manager stops production when it is not necessary.
C. The manager does not stop production when it is not necessary.  
D. The manager does not stop production when it is necessary.

2. Identify the consequences of making a Type II error.
A. The manager stops production when it is not necessary.  
B. The manager does not stop production when it is necessary.
C. The manager stops production when it is necessary.  
D. The manager does not stop production when it is not necessary.

To monitor the production process, the operations manager takes a random sample of 15 tires each week and subjects them to destructive testing. They calculate the mean life of the tires in the sample, and if it is less than 32000, they will stop production and recalibrate the machines. They know based on past experience that the standard deviation of the tire life is 3250 miles.

3. What is the probability that the manager will make a Type I error using this decision rule? Round your answer to four decimal places.

4. Using this decision rule, what is the power of the test if the actual mean life of the tires is 32150 miles? That is, what is the probability they will reject ?0H0 when the actual average life of the tires is 32150 miles? Round your answer to four decimal places.