Monson& Company is an architectural firm specializing in home remodeling for private clients and new office buildings for corporate clients. Monson charges customers at a billing rate equal to 128​%

of the​ client's total job cost. A​ client's total job cost is a combination of​(1) professional time spent on the client $64 per hour cost of employing each​ professional) and​ (2) operating overhead allocated to the​ client's job. Monson allocates operating overhead to jobs based on professional hours spent on the job. Monson estimates its five professionals will incur a total of​ 10,000 professional hours working on client jobs during the year.

AnnikaLaughlin hired Monson to design her kitchen remodeling. A total of 2020 professional hours were incurred on this job. In​ addition, Laughlin​'s remodeling job required one of the professionals to travel back and forth to her house for a total of 160 miles. The blueprints had to be copied four times because Laughlin changed the plans several times. In​ addition, 19 hours of secretarial time were used lining up the subcontractors for the job.

Requirements

Product Costing and Decision Analysis for a Service Company

Blue Star Airline provides passenger airline service, using small jets. The airline connects four major cities: Charlotte, Pittsburgh, Detroit, and San Francisco. The company expects to fly 170,000 miles during a month. The following costs are budgeted for a month:

Blue Star management wishes to assign these costs to individual flights in order to gauge the profitability of its service offerings. The following activity bases were identified with the budgeted costs:

The size of the company's ground operation in each city is determined by the size of the workforce. The following monthly data are available from corporate records for each terminal operation: Show work notes

Three recent representative flights have been selected for the profitability study. Their characteristics are as follows:

Required:

1. Determine the fuel, crew, and depreciation cost per mile flown.
$ per mile

2. Determine the cost per arrival or departure by terminal city.

3. Use the information in (1) and (2) to construct a profitability report for the three flights. Each flight has a single arrival and departure to its origin and destination city pairs.

Product Costing and Decision Analysis for a Service Company

Blue Star Airline provides passenger airline service, using small jets. The airline connects four major cities: Charlotte, Pittsburgh, Detroit, and San Francisco. The company expects to fly 170,000 miles during a month. The following costs are budgeted for a month:

Blue Star management wishes to assign these costs to individual flights in order to gauge the profitability of its service offerings. The following activity bases were identified with the budgeted costs:

The size of the company's ground operation in each city is determined by the size of the workforce. The following monthly data are available from corporate records for each terminal operation:

Three recent representative flights have been selected for the profitability study. Their characteristics are as follows:

Required:

1. Determine the fuel, crew, and depreciation cost per mile flown.
$ per mile

2. Determine the cost per arrival or departure by terminal city.

3. Use the information in (1) and (2) to construct a profitability report for the three flights. Each flight has a single arrival and departure to its origin and destination city pairs.

Product Costing and Decision Analysis for a Service Company

Blue Star Airline provides passenger airline service, using small jets. The airline connects four major cities: Charlotte, Pittsburgh, Detroit, and San Francisco. The company expects to fly 170,000 miles during a month. The following costs are budgeted for a month:

Blue Star management wishes to assign these costs to individual flights in order to gauge the profitability of its service offerings. The following activity bases were identified with the budgeted costs:

The size of the company's ground operation in each city is determined by the size of the workforce. The following monthly data are available from corporate records for each terminal operation:

Three recent representative flights have been selected for the profitability study. Their characteristics are as follows:

Required:

1. Determine the fuel, crew, and depreciation cost per mile flown.
$ per mile

2. Determine the cost per arrival or departure by terminal city.

3. Use the information in (1) and (2) to construct a profitability report for the three flights. Each flight has a single arrival and departure to its origin and destination city pairs. Enter all amounts as positive numbers, except for a negative income from operations.

Using Java,

1. Ask for the runner’s name

2. Ask the runner to enter a floating point number for the number of miles ran, like 3.6 or 9.5

3. Then ask for the number of hours, minutes, and seconds it took to run

• A marathon is 26.219 miles

• Pace is how long it takes in minutes and seconds to run 1 mile.
  

Example Input:
What is your first name? // user enters Pheidippides
How far did you run today? 10.6 // user enters 10.6 miles

How long did it take? Hours: 1 // user enters 1 hours

Minutes: 34 // user enters 34 minutes

Seconds: 17 // user enters 17 seconds

Example Output:

Hi Pheidippides
Your pace is 8:53 (minutes: seconds)
At this rate your marathon time would be 3:53:12
Good luck with your training!

After your program tells the user what their pace is, your program will build a table showing the following columns. The pace table should start with the fastest man time which is Eliud Kipchoge.

Example:

Pace Table
Pace Marathon
4:37 2:01:04 ←- Eliud Kipchoge
5:17 2:18:41
5:57 2:36:18
6:37 2:53:55
7:18 3:11:32
7:58 3:29:09
8:38 3:46:46
8:53 3:53:12 ← Pheidippides

• The table should start with the World Record pace and time which is 4:37, 2:01:04.

• Then continues in 17 minute and 37 second intervals until you reach the marathon time of the user.

• Use a static function to print the pace table, introduce a while loop.

• For the first person it should call a printTable function

  • Example : printTable (pace, “<--- Eliud Kipchoge”) something like that

  • The pace table continues until it reaches the user

  • printTable (myPace, name) something like that  

• For the marathon and pace time, make sure the format has 0’s if the time is 9 seconds, it should be 09.

• Use the printf statement for formatting output (“02d %f%s”)

Recent research indicates that the effectiveness of antidepressant medication is directly related to the severity of the depression (Khan, Brodhead, Kolts & Brown, 2005). Based on pretreatment depression scores, patients were divided into four groups based on their level of depression. After receiving the antidepressant medication, depression scores were measured again and the amount of improvement was recorded for each patient. The following data are similar to the results of the study.

This is the summary table for the ANOVA test:

From this table, you obtain the necessary statistics for the ANOVA:
F-ratio: 4.4034689424001
p-value: 0.00489
η2=η2= 0.052171658316617

What is your final conclusion? Use a significance level of α=0.02α=0.02.

• There is a significant difference between treatments
• These data do not provide evidence of a difference between the treatments

Explain what this tells us about the equality of mean?

Let's look at the boxplot for each treatment:

012345Depression ScoresLow ModerateHigh ModerateModerately SevereSevere

How could boxplots refine our conclusion in an ANOVA test? Your answer should address this specific problem.

Edit

Insert

Formats

Recent research indicates that the effectiveness of antidepressant medication is directly related to the severity of the depression (Khan, Brodhead, Kolts & Brown, 2005). Based on pretreatment depression scores, patients were divided into four groups based on their level of depression. After receiving the antidepressant medication, depression scores were measured again and the amount of improvement was recorded for each patient. The following data are similar to the results of the study.

This is the summary table for the ANOVA test:

From this table, you obtain the necessary statistics for the ANOVA:
F-ratio: 4.4034689424001
p-value: 0.00489
η2=η2= 0.052171658316617

What is your final conclusion? Use a significance level of α=0.02α=0.02.

• There is a significant difference between treatments
• These data do not provide evidence of a difference between the treatments

Explain what this tells us about the equality of mean?

Let's look at the boxplot for each treatment:

012345Depression ScoresLow ModerateHigh ModerateModerately SevereSevere

How could boxplots refine our conclusion in an ANOVA test? Your answer should address this specific problem.

Edit

Insert

Formats

Suppose the following data represent the ratings​ (on a scale from 1 to​ 5) for a certain smart phone​ game, with 1 representing a poor rating. Complete parts​ (a) through​ (d) below. Stars Frequency 1 2963 2 2372 3 4696 4 4393 5 10 comma 585 ​(a) Construct a discrete probability distribution for the random variable x. Stars​ (x) ​P(x) 1 nothing 2 nothing 3 nothing 4 nothing 5 nothing ​(Round to three decimal places as​ needed.) ​(b) Graph the discrete probability distribution. Choose the correct graph below. A. 1 2 3 4 5 0 0.1 0.2 0.3 0.4 0.5 A histogram has a horizontal axis labeled from 0 to 4 in intervals of 1 and a vertical axis labeled from 0 to 0.5 in intervals of 0.1 has five vertical lines positioned on the horizontal axis tick marks. The approximate heights of the vertical lines are as follows, with the horizontal coordinate listed first and the line height listed second: 1, 0.42; 2, 0.18; 3, 0.19; 4, 0.1; 5, 0.12. B. 1 2 3 4 5 0 0.1 0.2 0.3 0.4 0.5 A histogram has a horizontal axis labeled from 0 to 4 in intervals of 1 and a vertical axis labeled from 0 to 0.5 in intervals of 0.1 five vertical lines positioned on the horizontal axis tick marks. The approximate heights of the vertical lines are as follows, with the horizontal coordinate listed first and the line height listed second: 1, 0.12; 2, 0.1; 3, 0.19; 4, 0.18; 5, 0.42. C. 1 2 3 4 5 0 0.1 0.2 0.3 0.4 0.5 A histogram has a horizontal axis labeled from 0 to 4 in intervals of 1 and a vertical axis labeled from 0 to 0.5 in intervals of 0.1 five vertical lines positioned on the horizontal axis tick marks. The approximate heights of the vertical lines are as follows, with the horizontal coordinate listed first and the line height listed second: 1, 0.1; 2, 0.18; 3, 0.12; 4, 0.19; 5, 0.42. D. 1 2 3 4 5 0 0.1 0.2 0.3 0.4 0.5 A histogram has a horizontal axis labeled from 0 to 4 in intervals of 1 and a vertical axis labeled from 0 to 0.5 in intervals of 0.1 five vertical lines positioned on the horizontal axis tick marks. The approximate heights of the vertical lines are as follows, with the horizontal coordinate listed first and the line height listed second: 1, 0.19; 2, 0.18; 3, 0.42; 4, 0.12; 5, 0.1. ​(c) Compute and interpret the mean of the random variable x. The mean is nothing stars. ​(Round to one decimal place as​ needed.) Which of the following interpretations of the mean is​ correct? A. As the number of experiments​ decreases, the mean of the observations will approach the mean of the random variable. B. The observed value of an experiment will be less than the mean of the random variable in most experiments. C. The observed value of an experiment will be equal to the mean of the random variable in most experiments. D. As the number of experiments​ increases, the mean of the observations will approach the mean of the random variable. ​(d) Compute the standard deviation of the random variable x. The standard deviation is nothing stars. ​(Round to one decimal place as​ needed.)

Mastery Problem: Corporations: Organization, Stock Transactions, and Dividends Pranks, Inc. Pranks, Inc. is a manufacturer of joke and novelty products for perpetrators of practical jokes. The corporation has paid several cash dividends throughout Year 6, the current year. It is also declaring a stock dividend to its stockholders as the calendar year-end approaches. You’ve been brought in as a consultant to assist with this process, and also to help determine whether some missing information can be determined before the distribution of the stock dividend is made. The company has two classes of stock: common stock and cumulative preferred stock. Number of common shares authorized 900,000 Number of common shares issued 750,000 Par value of common shares $20 Par value of cumulative preferred shares $30 Paid-in capital in excess of par-common stock $7,000,000 Paid-in capital in excess of par-preferred stock $0 Total retained earnings before the stock dividend is declared $33,500,000 No treasury share have been reissued. Preferred Dividends Common Dividends Year Total Cash Dividends Total Per Share Total Per Share Year 1 30,000 30,000 0.20 0 0.00 Year 2 54,000 54,000 0.36 0 0.00 Year 3 105,000 51,000 0.34 54,000 0.09 Year 4 135,000 45,000 0.3 90,000 0.15 Year 5 153,000 45,000 0.3 108,000 0.18 Year 6 225,000 45,000 0.3 180,000 0.3 Cash Dividends The accounting manager for the company prepared the schedule of cash dividends paid from Year 1 to Year 6 on the Pranks, Inc. panel. However, one of the reasons for Pranks, Inc.’s missing information is that the manager is away on vacation and is unreachable by phone, because he is backpacking on a remote island that does not have cell phone reception. Management would like you to determine some information from the data you’ve collected regarding its outstanding stock. Fill in the following answers. How many shares of common stock are outstanding? How many shares of preferred stock are outstanding? What is the preferred dividend as a percent of par? % Additional Questions 1. After completing the Cash Dividends panel, answer the following question. Does Pranks, Inc. have any treasury stock? How can you tell? 2. In which years has Pranks, Inc. paid cumulative preferred dividends in arrears? a. Year 1 b. Year 2 c. Year 3 d. Year 4 e. Year 5 f. Year 6 Stock Dividend The company declared a 2% common stock dividend on December 1, and would like you to compute the following pieces of missing information. The market value of the common shares is $26 on December 1, and is $30 on the actual distribution date of the stock, December 31. Fill in the missing information in the following table, using the information given and your work on the other panels. All “before” items are before the stock dividend was declared. All “after” items are after the stock dividend was declared and closing entries were recorded at the end of the year.

Total paid-in capital before the stock dividend $

Total retained earnings before the stock dividend $

Total stockholders’ equity before the stock dividend $

Total paid-in capital after the stock dividend $

Total retained earnings after the stock dividend $

Total stockholders’ equity after the stock dividend $

ABC, Inc. is undergoing scrutiny for a possible wage discrimination suit. The following data is available: SALARY(monthly salary for each employee $), YEARS (years with the company), POSITION (position with company coded as: 1 = manual labor 2 = secretary 3 = lab technician 4 = chemist 5 = management EDUCAT (amount of education completed coded as: 1 = high school degree 2 = some college 3 = college degree 4 = graduate degree), GENDER (employee gender).

1. Using the selected model (i.e., “best” model) answer the following: a) Briefly summarize (present & calculate) the descriptive statistics of the data b)Interpret and evaluate the model coefficients for the management team and corporate lawyer of ABC, Inc. c) Test for significance of relationships (both individually and jointly for the overall model). Use a 10% level of significance. Please note if you are performing a two-tailed test or one-tailed test and justify. d) Demonstrate how ABC, Inc., could use the model for predicting employee salary. Include a sample computation. e) Verify model assumptions (e.g., residual plots) f) Identify any potential problems with the data or model & briefly discuss. g) Explicitly answer: Should ABC, Inc. be worried about possible wage discrimination charges? Deliberate about what additional variables to consider for the model.