The operator of a rock quarry is invited to bid on furnishing 42,000 cy of crushed aggregate for a job. The aggregate will be delivered to the job, which is 27 miles from the quarry. The aggregate will be loaded into trucks by a loader that can load at a rate of 75 cy/hr. The trucks will haul 18 cy/load at an average speed of 50 mi./hr loaded and 55 mi./hr empty. The estimated time to dump a load is 5 min. Assume a 45 min. effective hour for the loading and hauling operation.

The cost information for the job is: Royalty paid for aggregate = $1.35/cy Overhead = $0.75/cy Profit = $1.20/cy Loader = $85.00/hr Operator = $32.00/hr Trucks, each = $55.00/hr Truck driver, each = $28.00/hr Foremen = $35.00/hr

a) How many trucks are required? b) What resource dictates project duration. c) What should be the bid price per cubic yard using the economic way to conduct the project?

Sabel Co. purchased assembly equipment for $836,000 on January 1, 2018. Sabel’s financial condition immediately prior to the purchase is shown in the following horizontal statements model.

The equipment is expected to have a useful life of 380,000 miles and a salvage value of $38,000. Actual mileage was as follows:

Required

1. Compute the depreciation for each of the five years, assuming the use of units-of-production depreciation.
2. Assume that Sabel earns $248,000 of cash revenue during 2018. Record the purchase of the equipment and the recognition of the revenue and the depreciation expense for the first year in a financial statements model like the preceding one. The first event is recorded as an example.
3. Assume that Sabel sold the equipment at the end of the fifth year for $40,400. Calculate the amount of gain or loss on the sale.

Answer:

A-

B.

C.

Assume that Sabel sold the equipment at the end of the fifth year for $40,400. Calculate the amount of gain or loss on the sale.

Create a GUI application in C# that calculates and displays the total travel expenses of a business person on a trip. Here is the information that the user must provide:

• Number of days on the trip

• Amount of airfare, if any

• Amount of car rental fees, if any

• Number of miles driven, if a private vehicle was used

• Amount of parking fees, if any

• Amount of taxi charges, if any

• Conference or seminar registration fees, if any

• Lodging charges, per night

The company reimburses travel expenses according to the following policy:

• $37 per day for meals

• Parking fees, up to $10.00 per day

• Taxi charges up to $20.00 per day

• Lodging charges up to $95.00 per day

• If a private vehicle is used, $0.27 per mile driven.

The application should calculate and display the following:

• Total expenses incurred by the businessperson

• The total allowable expenses for the trip

• The excess that must be paid by the businessperson, if any

• The amount saved by the businessperson if the expenses were under the total allowed

A realtor studies the relationship between the size of a house (in square feet) and the property taxes (in $) owed by the owner. The table below shows a portion of the data for 20 homes in a suburb 60 miles outside of New York City. [You may find it useful to reference the t table.] Property Taxes Size 21892 2498 17421 2419 18170 1877 15679 1011 43962 5607 33657 2575 15300 2248 16789 1984 18108 2021 16794 1311 15113 1327 36069 3033 31058 2871 42126 3346 14392 1533 38911 4032 25323 4041 22972 2446 16160 3596 29215 2871

a-1. Calculate the sample correlation coefficient rxy. (Round intermediate calculations to at least 4 decimal places and final answers to 4 decimal places.)

c-1. Calculate the value of the test statistic. (Round intermediate calculations to at least 4 decimal places and final answer to 3 decimal places.)

Create a super class named Vehicle, which has the following attributes: VIN, engine size, Year, Speed. Check

Add a subclass named Car, which has the following additional attributes: Wheel size, Model, Miles (OOD). Check

Add another subclass to the vehicle superclass named Boat which has the following additional attributes: Hours, Gas type, Type (Fishing Boat, Deck boat, bowrider boat), and Check

Write a method named DisplayInfo() in your main to display the information of the Vehicle. In this method print all the features of the vehicle.

Add a method in each class to estimate the price of the vehicle subclasses base on some factors of each type. And call this method from the method DisplayInfo().

In the main method create three objects one of type Vehicle, the second of type Cars, and the third of type Boat.

I have the classes and variables made. How would i create the object (i know how to create) and pass this information to the display info.

Java language

The district manager of basketball officials has to assign each team of officials to one game on Friday night. There are four sites for games. So each site needs one group of officials. Below are the distances in miles each group of officials is from each site.

Formulate the linear programming problem to minimize distance traveled by the groups of officials in this assignment problem.

--create an Excel file to solve the problem and solve the problem – attach the file when you submit answer
--- type out what is the minimum distance and where each group is assigned

-- explain how the distance changes if Group A goes to Wayne, Group B goes to South Sioux City, Group C goes to Winnebago, and Group D goes to Wakefield.

Based on each of the following scenarios below, draft an effective finding for the Management Letter. Five Components of an effective finding:

1. Rate the significance of the deficiency/issue, considering any compensating controls/factors:
   1. Financial statement audit ratings: control deficiency, significant deficiency, or material weakness
   2. Operational audit ratings: low, medium, or high risk based on stakeholder/user response.
   3. Compliance audit ratings: in compliance or out of compliance.
2. Explain what the issue/deficiency is
3. Explain why the issue is a problem – answer the “So what/why should I care?” question
4. Make recommendations

5. Explain how your recommendations will benefit them – answer the “How will this help me/why is it worth my time to fix?” question.

Write one paragraph.

scenario:

During an operational audit of a University department, it was discovered that four new vehicles had been purchased in January, but had not yet been insured by the time the audit occurred in April. The vehicles had been driven approximately 3,000 miles during that time.

1.   The following data were obtained from 3 separate enzyme kinetic experiments using 3 different substrates S1, S2 and S3 forming products P1, P2 and P3 respectively. The amount of enzyme in each reaction is 1 µM. Find out the rate and graph the data using a Michaelis-Menton and Lineweaver-Burk plots and determine the values for Km, Vmax, Kcat, and Kcat/Km. Which among the 3 substrate is best substrate for this enzyme and why? (4 points)

[S] (mM)   [P1] (mM) in 60 min   [P2] (mM) in 240 min   [P3] (mM) in 30 min
2.5   0.170   0.126   0.194
2   0.201   0.135   0.213
1.5   0.167   0.129   0.206
1   0.162   0.131   0.203
0.6   0.159   0.135   0.174
0.3   0.148   0.131   0.163
0.15   0.122   0.111   0.122
0.2   0.095   0.117   0.114
0.1   0.075   0.072   0.104
0.05   0.049   0.040   0.071

2.   Use the Michaelis-Menton Equation to calculate the missing values of [S] given below if Vmax = 5 mmol/min. Plot [S] versus V (NOT the reciprocals!). Draw line parallel to the x-axis at Vmax and extend your plotted line to show its approach to Vmax. (2 points)

[S] (mM)   V0 (mmol/min)
10   1.2
[S]1       1.7
[S]2       2.1
[S]3       2.2
[S]4       2.5

3.   Plot the below data and determine the type of inhibition of an enzymatic reaction by inspecting the graph (give an explanation) (2 points)

[S] (mM)   V0 (mM/min)   V0 with Inhibitor present (mM/min)
1   1.3   0.8
2   2.0   1.2
4   2.8   1.7
8   3.6   2.2
12   4.0   2.4

4.   Plot the below data with and without inhibitor (I) and determine the type of inhibition of an enzymatic reaction by inspecting the graph (2 points)

[S] µM   V0 (µmol /min); [I] = 0 nM    V0 (µmol /min); [I] = 25 nM    V0 (µmol /min); [I] = 50 nM
0.4   0.22   0.21   0.20
0.67   0.29   0.26   0.24
1.00   0.32   0.30   0.28
2.00   0.40   0.36   0.32

The Toylot company makes an electric train with a motor that it claims will draw an average of only 0.8 ampere (A) under a normal load. A sample of nine motors was tested, and it was found that the mean current was x = 1.30 A, with a sample standard deviation of s = 0.42 A. Do the data indicate that the Toylot claim of 0.8 A is too low? (Use a 1% level of significance.)

1. What are we testing in this problem? single mean or single proportion?

(a) What is the level of significance?

2. State the null and alternate hypotheses.

H₀: μ = 0.8; H₁:  μ > 0.8H₀: μ = 0.8; H₁:  μ ≠ 0.8     H₀: μ ≠ 0.8; H₁:  μ = 0.8H₀: p = 0.8; H₁:  p > 0.8H₀: p = 0.8; H₁:  p ≠ 0.8H₀: p ≠ 0.8; H₁:  p = 0.8

(b) What sampling distribution will you use? What assumptions are you making?

The Student's t, since we assume that x has a normal distribution with unknown σ.The standard normal, since we assume that x has a normal distribution with known σ.     The standard normal, since we assume that x has a normal distribution with unknown σ.The Student's t, since we assume that x has a normal distribution with known σ.

What is the value of the sample test statistic? (Round your answer to three decimal places.)


(c) Find (or estimate) the P-value.

P-value > 0.2500.125 < P-value < 0.250     0.050 < P-value < 0.1250.025 < P-value < 0.0500.005 < P-value < 0.025P-value < 0.005

Sketch the sampling distribution and show the area corresponding to the P-value.

(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level α?

At the α = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant.At the α = 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant.     At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant.At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.

(e) Interpret your conclusion in the context of the application.

There is sufficient evidence at the 0.01 level to conclude that the toy company claim of 0.8 A is too low.There is insufficient evidence at the 0.01 level to conclude that the toy company claim of 0.8 A is too low.