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”)

A retaining wall against a mud slide is to be constructed by placing 1.2 m-high rectangular concrete blocks (ρconcrete = 2700 kg/m3 ) side by side, as shown in Figure 1. The friction coefficient between the ground and the concrete blocks is f = 0.3, and the density of the mud is about 1800 kg/m3 . There is concern that the concrete blocks may slide or tip over the lower left edge as the mud level rises.

a) Determine the minimum width w of the concrete blocks at which the blocks will overcome friction and start sliding. Plot the results over the mud height ranging from zero to the top of the retaining wall in 0.2 m-increments.

b) Determine the minimum width w of the concrete blocks at which the blocks will tip over. Plot the results over the mud height ranging from zero to the top of the retaining wall in 0.2 m-increments in the same graph as a).

c) Briefly comment on the results.

Your company has the sales for year 1 below. You want to select from one of three models for forecasting: a three-month moving average, a weighted moving average (you believe that the weights should be 0.2, 0.3, and 0.5), and an exponential smoothing average in which you use an alpha of 0.2 and an assumed forecast for January of year one of $35,000. Determine sales forecast for January year 2 and calculate MAD.


Jan Yr 1 34284
Feb 34000
Mar 31017
Apr 33406
May 34518
Jun 35469
Jul 35360
Aug 34894
Sep 34547
Oct 31015
Nov 31167
Dec 32925

A) Three-month moving average:
Sales forecast: $  
MAD:  

B) Weighted moving average:
Sales forecast: $  
MAD:  

C) Exponential moving average:
Sales forecast: $  
MAD:  

Which forecasting method should you use for your company? (enter A, B, C):

1) A nutritionist claims that the proportion of females who consume too much saturated fat is lower than the proportion of males who consume too much saturated fat. In interviews with 513 randomly selected females, she determines that 300 consume too much saturated fat. In interviews with 564 randomly selected males, she determines that 391 consume too much saturated fat.

Do the data support the claim that the proportion of females who consume too much saturated fat is less than the proportion of males who consume too much saturated fat? Use α = 0.05 and the 4-step process.

2)

The developer of a new filter for filter-tipped cigarettes claims that it leaves less nicotine in the smoke than does the current filter. Because cigarette brands differ in a number of ways, he tests each filter on one cigarette of each of nine randomly selected brands and records the difference in nicotine content. His results are given in the table below.

Does the data give convincing evidence that the filter tips leave less nicotine in the smoke? Follow the 4-step process.

old=c(.7, .8, .8, .9, .9, 1, 1.2, 1.2, 1.8)

new=c(.6, .6, .7, .8, .7, 1, .8, .9, 1.5)

3)

An investor with a stock portfolio worth several hundred thousand dollars sued his broker and brokerage firm because lack of diversification in his portfolio led to poor performance. The following data lists the rates of return, in percent, for a random sample of 39 months that the account was managed by the broker. The arbitration panel compared these returns with the average S&P 500 for the same period.

stock=c(-8.36, 1.63, -2.27, -2.93, -2.70, -2.93, -9.14, -2.64, 6.82, -2.35, -3.58, 6.13, 7.00, -15.25, -8.66, -1.03, -9.16, -1.25, -1.22, -10.27, -5.11, -0.80, -1.44, 1.28, -0.65, 4.34, 12.22, -7.21, -0.09, 7.34, 5.04, -7.24, -2.14, -1.01, -1.41, 12.03, -2.56, 4.33, 2.35)

Does the data show that the mean return is different from 0.95%, the average return for the S&P 500. Use α = 0.01 and the 4-step process.

4) A random sample of 328 medical doctors showed that 171 had a solo practice. Find and interpret a 95% confidence interval for the proportion of all doctors who have a solo practice. Follow the 4-step process.

5)

You are conduction a t-test for the mean using a sample of 9 observations. Do the following graphs indicate that it is safe to conclude the sample data is normal? Explain.

answer all please. thank you.

The price of Stock A today is 50, and stock B is 100. The probability of a booming, normal, and recessionary economy are 0.2, 0.7, and 0.1 respectively. If the economy is booming, stock’s A price will be 65 and stock B will be 108. If the economy is normal, stock’s A price will be 55 and stock’s B will be 105. If the econ falls into recession, stock’s A price will be 40 and stock’s B will be 102.
a) Calculate the expected return and standard deviation for each stock.
b) Assume you create a portfolio and put 50% of you money in stock A and 50% of you money in stock B. Calculate the portfolio expected return and standard deviation.

Please show formula and steps

People have been using Cameras for private daily use since the 1880s and the first Kodak camera cost a lot of money in those days. Today we wish to see if the size of the camera can be used to predict the cost. The data is given below:

Y = cost in dollars X = weight in ounces y {300, 250, 350, 400, 150, 180, 140, 300, 300, 200} X {6, 5, 7, 5, 6, 6, 4, 6, 6, 5} The following information is available for you to use in the analysis of this topic. n=10 x̄= 5.6 ȳ= 257 SSxy = 248 SSxx = 6.4 SSyy = 69010

Find the least squares prediction equation. a)Ŷ = -300 + 100X1 b)Ŷ = 0 + 50X1 c)Ŷ = 40 + 38.75X1 d)none of these