In a study of high-achieving high school graduates, the authors
of a report surveyed 834 high school graduates who were considered
"academic superstars" and 436 graduates who were considered "solid
performers." One question on the survey asked the distance from
their home to the college they attended.
Assuming it is reasonable to regard these two samples as random
samples of academic superstars and solid performers nationwide, use
the accompanying data to determine if it is reasonable to conclude
that the distribution of responses over the distance from home
categories is not the same for academic superstars and solid
performers. Use
α = 0.05.
| Distance of College from Home (in miles) | |||||
|---|---|---|---|---|---|
| Student Group | Less than 40 |
40 to 99 |
100 to 199 |
200 to 399 |
400 or More |
| Academic Superstars | 158 | 157 | 143 | 150 | 226 |
| Solid Performers | 105 | 94 | 83 | 65 | 89 |
State the null and alternative hypotheses.
H0: Student group and distance of college
from home are independent.
Ha: Student group and distance of
college from home are not independent. H0:
Student group and distance of college from home are not
independent.
Ha: Student group and distance of
college from home are independent.
H0: The proportions falling into the distance
categories are not all the same for the two student groups.
Ha: The proportions falling into the
distance categories are the same for the two student groups.
H0: The proportions falling into the distance
categories are the same for the two student groups.
Ha: The proportions falling into the
distance categories are not all the same for the two student
groups.
Calculate the test statistic. (Round your answer to two decimal
places.)
χ2 =
What is the P-value for the test? (Round your answer to
four decimal places.)
P-value =
What can you conclude?
Do not reject H0. There is not enough evidence to conclude that the proportions falling into the distance categories are not all the same for the two student groups. Reject H0. There is convincing evidence to conclude that the proportions falling into the distance categories are not all the same for the two student groups. Reject H0. There is convincing evidence to conclude that there is an association between student group and distance of college from home. Do not reject H0. There is not enough evidence to conclude that there is an association between student group and distance of college from home.
In: Math
Clearview Systems Ltd.
Jasmine Kaur, the newly appointed vice-president of finance for Clearview Systems Ltd. (“CVL”), was eager to talk to her investment banker about future financing for the firm. One of her first assignments was to determine the firm’s weighted average cost of capital (WACC).
Capital Structure
In their discussion, Jasmine and her investment banker felt that the current mix in the capital structure was providing CVL with the lowest possible WACC and CVL should continue with it in the future. To help her understand the current mix in the capital structure, the controller for CVL provided Jasmine with the following information for the latest year-end (Dec-31-19):
Jasmine was able to use this information to calculate the market values and the weights associated with each of the components of the capital structure:
|
(enter your answer in whole numbers: e.g. 1,000,000 not 1.0 million. Don't enter the dollar sign.) |
|
|
the total market value of outstanding bonds on Dec-31-19 |
$ |
|
the total market value of all issued preferred shares on Dec-31-19 |
$ |
|
the total market value of all issued common shares on Dec-31-19 |
$ |
|
Description |
Weight |
|
(enter all percentages to two decimal places) |
|
|
Debt |
% |
|
Preferred |
% |
|
Common |
% |
Cost of WACC Components
Of some concern was the appropriate cost to assign to each of the elements in the capital structure. Jasmine requested that the controller provide data on what the costs were likely to be to issue debt, preferred stock and common stock. The controller provided the following information:
|
Debt |
The bonds were issued 4 years ago with a 25 year maturity and a coupon rate of 7.00 percent (payable semi-annually) |
|
Preferred equity |
The preferred shares were issued six years ago and pay an annual dividend of $2.200 per share. |
|
Common equity |
Last year, CVL declared and paid a common share dividend of $2.430 per share. This represented a 5.00 percent growth in the common share dividend (a rate that is expected to continue into the future) and a dividend payout ratio of 30.00 percent (also expected to continue into the future). |
Jasmine was already aware that the company’s current tax rate is 45.00 percent and preliminary year-end results show net earnings (after interest, taxes and preferred share dividends) for the year ending Dec-31-19 is $6.0 million.
CVL uses RBC as its lead underwriter. RBC charges CVL 4.00 percent commission on new common stock issues, 6.00 percent on new preferred stock issues, and 6.00 percent on new debt issues. RBC has included all direct and indirect flotation costs in these rates.
|
Calculate the after-tax cost of debt: |
||
|
What is the nominal yield-to-maturity on outstanding bonds? |
% |
|
|
Since the bonds compound semi-annually, what is the effective yield on the bond? |
% |
|
|
Calculate the after-tax cost of debt using the effective yield. (Note: If you don't know how to calculate the effective yield, use the nominal yield you calculated in part 1. Show me you know how to calculate after-tax cost of debt, even if you’re starting with the wrong number.) |
% |
|
|
Calculate the after-tax cost of preferred shares. |
% |
|
|
Calculate the after-tax cost common equity in the form of retained earnings (ke). |
% |
|
|
Calculate the after-tax cost of common equity in the form of new shares (kn). |
% |
|
Weighted Average Cost of Capital
|
What is the weighted-average cost of capital if the company uses new debt, new preferred shares and just retained earnings? |
% |
|
What is the weighted-average cost of capital if the company uses new debt, new preferred shares and new common shares? |
% |
Jasmine was interested to know the level of investment she could make in new capital assets without needing to find new common shareholders.
|
How much of that can be funded without issuing new common stock? (Hint, how much will the Total Liabilities and Shareholder’s Equity side of the balance sheet go up by?) (enter your answer in whole numbers: e.g. 1,000,000 not 1.0 million. Don't enter the dollar sign.) |
In: Finance
6. Add code to the main method of your main class to do the following:
Run the program to make sure it works. The output should look something like this:
Testing Polygon constructor
Number of sides: 5
7. Create a Java class file for a RegularPolygon class.
8. Implement the RegularPolygon class.
9. Add code to the main method of your main class to do the following:
Run the program to make sure it works. The output should look something like this:
Testing Polygon constructor
Number of sides: 4
Testing RegularPolygon constructor
Number of sides: 5
Side length: 1.0
Perimeter: 5.0
Testing side length mutator
Number of sides: 5
Side length: 2.0
Perimeter: 10.0
10. Create a Java class file for a RegularTriangle class.
11. Implement the RegularTriangle class.
RegularPolygon.
12. Add code to the main method of your main class to do the following:
Run the program to make sure it works. The output should look something like this:
Testing Polygon constructor
Number of sides: 4
Testing RegularPolygon constructor
Number of sides: 5
Side length: 1.0
Perimeter: 5.0
Testing side length mutator
Number of sides: 5
Side length: 2.0
Perimeter: 10.0
Testing RegularTriangle constructor
Number of sides: 3
Side length: 4.0
Perimeter: 12.0
Height: 3.4641016151377544
Area: 6.928203230275509
Testing height mutator
Number of sides: 3
Side length: 3.464101615137755
Perimeter: 10.392304845413264
Height: 3.0
Area: 5.196152422706632
Testing side length mutator
Number of sides: 3
Side length: 4.0
Perimeter: 12.0
Height: 3.4641016151377544
Area: 6.928203230275509
In: Computer Science
A travel agent (TA) in Athens named “Thomas o Mageiras” has
contracts with 135
hotels from all categories (stars) in the three major Greek summer
destinations,
namely Crete, Ionian Islands and South Aegean Islands. In order to
better support its
clients the TA yearly collects and updates data regarding the
performance of these
hotels.
The dataset in the table that follows, provides various measures
of
all 135 hotels, summarized in the following variables:
Variables Description
STARS Hotel class category
Total_Rooms Total number of rooms per hotel
Region_ID
1= Crete
2=Southern Aegean Islands
3=Ionian Islands
ARR_MAY Average Room Rate in May (in €)
ARR_AUG Average Room Rate in August (in €)
L_COST Labor cost per hotel (in €)
Note: The empty cells in the given Excel spreadsheet indicate
missing values.
Question 1:
1.1 Construct the frequency distribution, the percentage
distribution and the frequency
histogram of the variables ARR_MAY and ARR_AUG for ALL 135 hotels.
Use
the same class width = 25 for both frequency distributions. Comment
on the
characteristics of the distributions.
1.2 Construct separately, the frequency distributions and the
percentage distributions
of the variable ARR_AUG for each of the three destinations. Use the
same class
width = 35 for each of the three frequency distributions.
1.3 Construct separately, the frequency distributions and the
percentage distributions
of the variable ARR_MAY for hotels with a) Number of rooms ≤ 50
considered
as small size hotels b) Number of rooms > 50 considered as large
size hotels. Use
the same class width = 25 for both frequency distributions.
1.4 Plot three histograms of the frequency distributions of the
variable ARR_AUG,
one for each of the three destinations, and comment on the main
characteristics of
the three distributions.
1.5 Plot two histograms of frequency distributions of the variable
ARR_MAY, one
for the small and one for the large size hotels, and comment on the
main
characteristics of the two distributions.
1.6 What conclusions can you reach concerning the differences in
distribution a) of
ARR_AUG among the three destinations and b) of ARR_MAY between
the
small and the large size hotels?
| STARS | Total_Rooms | Region_ID | ARR_MAY | ARR_AUG | L_COST |
| 1 | 44 | 2 | 16 | 35 | |
| 1 | 18 | 2 | 16 | 20 | |
| 1 | 21 | 3 | 16 | 40 | 30.000 |
| 1 | 21 | 3 | 16 | 40 | 20.000 |
| 1 | 31 | 2 | 18 | 35 | 10.450 |
| 2 | 32 | 3 | 19 | 45 | 6.500 |
| 1 | 46 | 3 | 19 | 23 | 43.549 |
| 4 | 38 | 1 | 22 | 51 | 59.200 |
| 2 | 73 | 2 | 22 | 41 | 70.000 |
| 4 | 65 | 1 | 25 | 63 | 83.000 |
| 3 | 122 | 2 | 25 | 33 | 568.536 |
| 1 | 16 | 2 | 25 | 70 | 379.498 |
| 1 | 13 | 3 | 25 | 45 | 15.000 |
| 1 | 16 | 3 | 25 | 31 | 27.084 |
| 2 | 29 | 1 | 26 | 44 | 30.000 |
| 2 | 42 | 2 | 28 | 40 | |
| 2 | 17 | 1 | 29 | 53 | 6.121 |
| 1 | 23 | 1 | 30 | 35 | 50.237 |
| 2 | 30 | 2 | 30 | 55 | 40.000 |
| 2 | 15 | 2 | 30 | 45 | 4.296 |
| 1 | 11 | 2 | 30 | 50 | |
| 1 | 22 | 2 | 30 | 35 | 1.520 |
| 3 | 39 | 3 | 30 | 68 | 50.000 |
| 3 | 32 | 3 | 30 | 100 | 40.000 |
| 2 | 49 | 3 | 30 | 73 | 41.000 |
| 1 | 13 | 3 | 30 | 50 | 9.500 |
| 1 | 21 | 3 | 30 | 40 | 10.000 |
| 1 | 8 | 1 | 31 | 49 | 7.888 |
| 2 | 25 | 3 | 32 | 55 | 61.766 |
| 1 | 57 | 1 | 35 | 90 | 11.720 |
| 1 | 20 | 1 | 35 | 45 | |
| 1 | 18 | 1 | 35 | 40 | 112.181 |
| 2 | 26 | 1 | 35 | 40 | 3.575 |
| 2 | 37 | 2 | 35 | 95 | 270.000 |
| 2 | 14 | 3 | 35 | 70 | 5.500 |
| 3 | 98 | 2 | 38 | 75 | 150.000 |
| 3 | 44 | 2 | 38 | 84 | 75.704 |
| 3 | 75 | 1 | 40 | 60 | 37.735 |
| 3 | 32 | 1 | 40 | 60 | 3.500 |
| 2 | 23 | 1 | 40 | 50 | 6.500 |
| 1 | 11 | 1 | 40 | 55 | |
| 1 | 15 | 1 | 40 | 55 | 3.500 |
| 3 | 23 | 1 | 40 | 55 | |
| 3 | 10 | 2 | 40 | 70 | 10.000 |
| 1 | 22 | 2 | 40 | 100 | 20.000 |
| 1 | 12 | 2 | 40 | 65 | |
| 4 | 112 | 3 | 40 | 56 | 363.825 |
| 3 | 72 | 3 | 40 | 75 | 177.833 |
| 1 | 21 | 1 | 42 | 54 | 5.700 |
| 5 | 378 | 3 | 44 | 128 | 2.429.367 |
| 2 | 68 | 1 | 45 | 55 | 199.000 |
| 3 | 75 | 2 | 45 | 70 | 220.000 |
| 3 | 62 | 2 | 45 | 90 | 50.302 |
| 3 | 25 | 2 | 45 | 95 | 118.049 |
| 2 | 15 | 1 | 47 | 50 | 19.670 |
| 4 | 221 | 2 | 47 | 102 | 623.117 |
| 3 | 27 | 1 | 48 | 55 | 20.906 |
| 4 | 117 | 2 | 48 | 91 | 360.000 |
| 3 | 62 | 3 | 50 | 90 | 252.390 |
| 3 | 30 | 3 | 50 | 80 | 45.000 |
| 2 | 41 | 3 | 50 | 90 | 166.903 |
| 2 | 14 | 3 | 50 | 80 | 4.000 |
| 3 | 66 | 1 | 51 | 65 | 230.000 |
| 2 | 48 | 1 | 52 | 60 | 284.569 |
| 2 | 39 | 1 | 53 | 104 | 107.447 |
| 3 | 102 | 3 | 53 | 91 | 173.481 |
| 4 | 62 | 2 | 55 | 75 | 249.205 |
| 2 | 21 | 2 | 55 | 100 | 12.000 |
| 2 | 53 | 3 | 55 | 80 | 48.200 |
| 4 | 10 | 1 | 57 | 97 | 30.000 |
| 4 | 70 | 1 | 59 | 128 | 437.684 |
| 1 | 25 | 1 | 59 | 128 | 156.316 |
| 3 | 69 | 1 | 60 | 70 | 256.658 |
| 3 | 47 | 1 | 60 | 120 | 255.020 |
| 3 | 170 | 2 | 60 | 104 | 538.848 |
| 2 | 18 | 2 | 60 | 100 | 10.000 |
| 5 | 270 | 3 | 60 | 90 | 1.934.820 |
| 5 | 240 | 2 | 61 | 132 | 1.312.601 |
| 4 | 241 | 1 | 64 | 109 | 793.009 |
| 4 | 121 | 1 | 64 | 132 | 494.566 |
| 3 | 54 | 1 | 65 | 90 | 200.000 |
| 4 | 172 | 1 | 68 | 148 | 1.383.854 |
| 5 | 57 | 2 | 68 | 140 | 300.000 |
| 4 | 227 | 3 | 69 | 123 | 1.538.000 |
| 4 | 322 | 1 | 70 | 159 | 1.608.013 |
| 4 | 27 | 1 | 70 | 100 | 130.000 |
| 2 | 10 | 2 | 70 | 100 | 12.500 |
| 4 | 56 | 3 | 70 | 100 | 96.000 |
| 3 | 78 | 3 | 70 | 120 | 377.182 |
| 2 | 24 | 3 | 70 | 120 | 116.056 |
| 2 | 20 | 3 | 70 | 120 | 96.713 |
| 5 | 133 | 1 | 71 | 136 | 801.469 |
| 4 | 96 | 3 | 73 | 134 | 210.000 |
| 3 | 93 | 1 | 76 | 130 | 626.000 |
| 4 | 200 | 2 | 77 | 178 | 796.026 |
| 2 | 35 | 1 | 80 | 110 | 64.702 |
| 1 | 25 | 2 | 80 | 120 | 36.277 |
| 1 | 25 | 2 | 80 | 120 | 36.277 |
| 3 | 16 | 2 | 80 | 100 | 14.300 |
| 4 | 216 | 3 | 80 | 124 | 1.339.903 |
| 3 | 74 | 3 | 80 | 95 | 111.000 |
| 5 | 265 | 1 | 81 | 174 | 1.393.550 |
| 5 | 280 | 3 | 81 | 138 | 903.000 |
| 5 | 127 | 1 | 85 | 114 | 1.072.000 |
| 3 | 33 | 3 | 85 | 120 | 238.000 |
| 4 | 353 | 2 | 87 | 152 | 1.511.457 |
| 5 | 172 | 1 | 90 | 195 | 1.151.600 |
| 4 | 10 | 1 | 90 | 105 | 15.950 |
| 5 | 219 | 3 | 93 | 162 | 1.675.995 |
| 5 | 313 | 1 | 94 | 173 | 2.214.985 |
| 3 | 18 | 1 | 94 | 104 | 722.069 |
| 4 | 97 | 3 | 94 | 120 | 441.737 |
| 2 | 43 | 3 | 94 | 120 | 195.821 |
| 5 | 412 | 1 | 95 | 160 | 2.165.000 |
| 4 | 276 | 2 | 95 | 160 | 2.050.000 |
| 3 | 11 | 3 | 95 | 120 | 3.000 |
| 5 | 166 | 3 | 98 | 183 | 900.000 |
| 3 | 33 | 2 | 99 | 218 | 271.724 |
| 5 | 139 | 2 | 100 | 130 | 495.000 |
| 5 | 50 | 2 | 100 | 180 | 517.729 |
| 2 | 25 | 2 | 100 | 150 | 60.000 |
| 5 | 181 | 3 | 100 | 187 | 1.143.850 |
| 5 | 119 | 3 | 100 | 150 | 600.000 |
| 4 | 9 | 3 | 100 | 180 | |
| 5 | 174 | 3 | 102 | 211 | 2.500.000 |
| 5 | 124 | 3 | 103 | 160 | 1.103.939 |
| 5 | 330 | 2 | 112 | 240 | 434.237 |
| 4 | 324 | 2 | 112 | 211 | 1.800.000 |
| 4 | 161 | 3 | 112 | 213 | 1.370.968 |
| 5 | 306 | 2 | 113 | 235 | 2.074.000 |
| 5 | 261 | 3 | 119 | 211 | 3.000.000 |
| 5 | 204 | 1 | 131 | 225 | 2.460.634 |
| 4 | 34 | 2 | 133 | 218 | 96.619 |
| 4 | 27 | 2 | 180 | 250 | 51.000 |
| 4 | 12 | 2 | 215 | 265 | 45.000 |
In: Statistics and Probability
Question 2
Rawhide, Inc. builds a tannery in Curley's neighborhood. Before the tannery opens for business, Curley moves to another neighborhood. However, he retains ownership of his property near the tannery. Curley leases out the property near the tannery to Mo. Once the tannery begins operating, it gives off foul odors that Mo can smell from his property. If Curley sues the tannery for nuisance, is he likely win his case? Explain why or why not.
Question 3
Rawhide, Inc. builds a tannery in Curley's neighborhood. The tannery gives off foul odors that Curley can smell from his property. If Curley sues the tannery for nuisance and wins, which of the following is the court most likely award? Explain why you chose your answer.
Question 4
SureShot, Inc., is a manufacturer of special equipment used by hunters. One of their leading products is a machine that simulates the calls of elk. Each piece of equipment can make several high frequency sounds that are not audible to the human ear. In order to ensure the quality of their equipment, SureShot tests each piece of equipment several times. These tests involve testing the range of sounds that each piece of equipment makes. Therefore, dozens of high frequency sound waves are emitted from SureShot's manufacturing plant every day. Not knowing of the high frequency sounds, Kelly’s Kennels Inc., opens a dog breeding school next door to SureShot. The high frequency noises, while not audible to humans are audible and very disturbing, to dogs. The sound waves cause the dog to howl for hours every day and interfere with Kelly’s Kennels business. If Kelly’s Kennels brings an action against SureShot to recover damages for interfering with Kelly’s Kennels business, what is the most likely outcome for SureShot? Explain your answer.
Question 5
Mike is an avid collector of western art. One of his favorite pieces is a sculpture of a cowboy riding an unsaddled horse made out of old soup cans, tin foil and duct tape. Mike places the sculpture in his backyard so that he can look at it whenever he sits on his porch. Unfortunately, Stu, who lives next door to Mike and who hates the sculpture, can also see it from his porch. In fact, Stu hates the sculpture so much that he does not go out onto his porch anymore. If Stu tries to get Mike to remove the sculpture by suing him for nuisance, will Stu win? Defend your answer.
Question 6
An oil tanker belonging to Oil Finders, Inc. runs aground and causes a massive oil spill that damages several miles of the Texas coastline. As a result, several public beaches are rendered unusable to the public. Riker and Picard are avid surfers who like to hit the waves as often as they can. Because of the oil spill, they will not be able to surf for at least six months. They file suit against Oil Finders, Inc. for nuisance. Will the court hear their suit? Defend your answer.
Question 7
An oil tanker belonging to Oil Finders, Inc. runs aground and causes a massive oil spill that damages several miles of the Texas coastline. As a result, several public beaches are rendered unusable to the public. Riker and Picard make their living harvesting clams and oysters at the various beaches in the area and their business has been destroyed as a result of the oil spill. They file suit against Oil Finders, Inc. for nuisance. Will the court hear their suit? Defend your answer.
Question 8
John and Kelsey live in a house in Missouri that they purchased for $250,000. The town has never had a garbage dump and the city government has spent millions of dollars over the years sending the town's trash to a dump located in a different part of the state. In order to save money, the town contracts with Mr. Barr, the president of a waste management company, to build and maintain a landfill at the edge of the town. Within six months, the landfill is operational. Eventually, as more and more of the town's trash gets dumped into the landfill, the residents of the town are subjected to the odor that the landfill gives off. The odor is not constant but, on windy days, it is noticeable. As a result, the house that John and Kelsey bought for $250,000 is reduced in value to $240,000. If John sues the town for nuisance, which of the following is most likely to occur? Defend your answer/
In: Economics
2008 Summer Olympics in Beijing, China, in a world record of 9.58 seconds. That works out to be about 23.4 miles per hour over the course of the race. For a brief period during that sprint, Bolt reached an astounding 40 feet per second (27.51 mph). As a physical activity, running is very different from walking. In running, a person's legs flex and the muscles stretch and then contract during acceleration. As the runner's muscles release and absorb energy, the overall energy in the person's body changes and leads to increased speed. What Makes An Elite Runner? Scholars believe that the fastest runners — the elite sprinters like Bolt - are those who use a low amount of energy for every foot that they run, compared to other people. The ability to do that is influenced by a number of different factors, including their age, sex and distribution of muscles. The fastest of the elite runners are young men. The way in which a person's body moves in time and space is called biomechanics. The possible speed of a runner is influenced by their biomechanics, especially how their legs move as they run. Many different factors could influence a person's running speed, including how much time the foot spends touching the ground, how far the legs swing and the angle and distance of the stride. In particular, sprint runners maximize their acceleration and top speed by applying more force relative to their body weight. Their ankles move faster and they take more steps per minute. Long-Distance Runners: When considering speed, sports researchers also look at long-distance runners, who race distances between 3 and 26 miles. The fastest of these runners use considerable plantar pressure, which is the amount of pressure the foot puts on the ground. Changes in biomechanical factors, or how the legs move over time and space, also seem to have a significant effect. As with sprinters, the fastest group in marathon running is men aged between 25 and 29. Those men have an average speed between 558 and 577 feet per minute. This information was gathered from the marathons that were run in Chicago and New York between 2012 and 2016. The New York City marathon runs in waves. There are four groups of runners who begin the race roughly 30 minutes apart. As a result, statistics are available for runner speeds at 3-mile segments throughout the race. Researcher Zhenquan Lin and his team used that data to show that one factor of speed is competition. Runners increase speed and change positions more frequently at the end of the race. The Upper Limits In comparison to other animals, humans are very slow. The fastest animal on record is the cheetah, which can run up to 70 mph. Even Usain Bolt can only attain a fraction of that. Recent research on the most elite runners has led sports medicine expert Peter Weyand and his team to suggest that the upper limit might reach 35-40 mph. So far though, no one has been willing to confirm that in an official publication. In other words, scientists still need to find more Proof. Statistics: According to Rankings.com, the fastest three male sprinters in the world today are Usain Bolt, Tyson and Asafa Powell. Bolt and Powell are Jamaican, and tyson is American. Bolt set the 100-meter record at the 2008 Summer Olympic Games in Beijing, China, completing the race in 9.58 seconds. His speed was 34.25 feet per second. tyson's fastest time is 9.69 seconds. Powell's is 9.72 seconds. The fastest three female sprinters are Florence Griffith Joyner, Carmelita Jeter and Marion Jones, who are all American. Joyner's fastest time in the 100-meter was 10.49 seconds, set in the 1988 Olympics in Seoul, South Korea, at a speed of 31.27 feet per second. Jeter's fastest time is 10.64 seconds. Jones' is 10.65 seconds. The three fastest male marathon runners are, according to Runners World, Dennis Kimetto of Kenya, Kenenisa Bekele of Ethiopia and Eliud Kipchoge of Kenya. Kimetto set the record for the fastest marathon time at the Berlin Marathon in 2014. He completed the 26.2-mile race in just 2 hours, 2 minutes and 57 seconds. Bekele finished the Berlin Marathon in 2:03:03 in 2016. Kipchoge ran the London Marathon in 2:03:05 in 2016. The three fastest female marathon runners are Paula Radcliffe of England, Mary Keitany of Kenya and Tirunesh Dibaba of Kenya. Radcliffe completed the 2003 London Marathon in 2:15:25. Keitany completed the 2017 London Marathon at 2:17:01. Dibaba finished the same race in 2:17:56.
Examine the ideas in the article. in a short paragraph that explains the central idea of the article. Use at least two details from the article to support your response.
In: Statistics and Probability
Raymond Santana created Computer Solutions on October 1, 2019. The company has been successful, and its list of customers has grown.
In response to requests from customers, R. Santana will begin selling computer software. The company will extend credit terms of 1/10, n/30, FOB shipping point, to all customers who purchase this merchandise. However, no cash discount is available on consulting fees. Also, Business Solutions does not use reversing entries and, therefore, all revenue and expense accounts have zero beginning balances as of January 1, 2020. Its transactions for January through March follow:
|
Jan. |
4 |
The company paid cash to Lyn Addie for five days’ work at the rate of $125 per day. Four of the five days relate to wages payable that were accrued in the prior year. |
||
|
5 |
Ray Santana invested an additional $20,000 cash in the company in exchange for more common stock. |
|||
|
7 |
The company purchased $5,800 of merchandise from Kansas Corp. with terms of 1/10, n/30, FOB shipping point, invoice dated January 7. |
|||
|
9 |
The company received $2,750 cash from Gomez Co. as full payment on its account. |
|||
|
11 |
The company completed a five-day project for Alex’s Engineering Co. and billed it $5,500, which is the total price of $7,000 less the advance payment of $1,500. |
|||
|
13 |
The company sold merchandise with a retail value of $5,200 and a cost of $3,560 to Liu Corp., invoice dated January 13. |
|||
|
15 |
The company paid $600 cash for freight charges on the merchandise purchased on January 7. |
|||
|
16 |
The company received $4,000 cash from Delta Co. for computer services provided. |
|||
|
17 |
The company paid Kansas Corp. for the invoice dated January 7, net of the discount. |
|||
|
20 |
Liu Corp. returned $500 of defective merchandise from its invoice dated January 13. The returned merchandise, which had a $320 cost, is discarded. (The policy of Computer Solutions is to leave the cost of defective products in cost of goods sold.) |
|||
|
22 |
The company received the balance due from Liu Corp., net of both the discount and the credit for the returned merchandise. |
|||
|
24 |
The company returned defective merchandise to Kansas Corp. and accepted a credit against future purchases. The defective merchandise invoice cost, net of the discount, was $496. |
|||
|
26 |
The company purchased $8,000 of merchandise from Kansas Corp. with terms of 1/10, n/30, FOB destination, invoice dated January 26. |
|||
|
26 |
The company sold merchandise with a $4,640 cost for $5,800 on credit to KC, Inc., invoice dated January 26. |
|||
|
31 |
The company paid cash to Lyn Addie for 10 days’ work at $125 per day. |
|||
|
Feb. |
1 |
The company paid $2,475 cash to Hillside Mall for another three months’ rent in advance. |
||
|
3 |
The company paid Kansas Corp. for the balance due, net of the cash discount, less the $496 amount in the credit memorandum. |
|||
|
5 |
The company paid $600 cash to the local newspaper for an advertising insert in today’s paper. |
|||
|
11 |
The company received the balance due from Alex’s Engineering Co. for fees billed on January 11. |
|||
|
15 |
The company paid $4,800 cash in dividends. |
|||
|
23 |
The company sold merchandise with a $2,660 cost for $3,220 on credit to Delta Co., invoice dated February 23. |
|||
|
26 |
The company paid cash to Lyn Addie for eight days’ work at $125 per day. |
|||
|
27 |
The company reimbursed Ray Santana for business automobile mileage (600 miles at $0.32 per mile). |
|||
|
Mar. |
8 |
The company purchased $2,730 of computer supplies from Harris Office Products on credit, invoice dated March 8. |
||
|
9 |
The company received the balance due from Delta Co. for merchandise sold on February 23. (Note discount period versus payment) |
|||
|
11 |
The company paid $960 cash for minor repairs to the company’s computer. |
|||
|
16 |
The company received $5,260 cash from Dream, Inc., for computing services provided. |
|||
|
19 |
The company paid the full amount due to Harris Office Products, consisting of amounts created on December 15 (of $1,100) and March 8. |
|||
|
24 |
The company billed West Leasing for $9,045 of computing services provided. |
|||
|
25 |
The company sold merchandise with a $2,002 cost for $2,800 on credit to Wildcat Services, invoice dated March 25. |
|||
|
30 |
The company sold merchandise with a $1,048 cost for $2,220 on credit to IFM Company, invoice dated March 30. |
|||
|
31 |
The company reimbursed R. Santana for business automobile mileage (400 miles at $0.32 per mile). |
I am mainly interested in COGS and inventory transactions (journal entries), and both of the account end balances. Please show the work. Thank you
In: Accounting
Develop and pseudocode for the code below:
#include <algorithm>
#include <iostream>
#include <time.h>
#include "CSVparser.hpp"
using namespace std;
//============================================================================
// Global definitions visible to all methods and classes
//============================================================================
// forward declarations
double strToDouble(string str, char ch);
// define a structure to hold bid information
struct Bid {
string bidId; // unique identifier
string title;
string fund;
double amount;
Bid() {
amount = 0.0;
}
};
//============================================================================
// Static methods used for testing
//============================================================================
/**
* Display the bid information to the console (std::out)
*
* @param bid struct containing the bid info
*/
void displayBid(Bid bid) {
cout << bid.bidId << ": " << bid.title << "
| " << bid.amount << " | "
<< bid.fund << endl;
return;
}
/**
* Prompt user for bid information using console (std::in)
*
* @return Bid struct containing the bid info
*/
Bid getBid() {
Bid bid;
cout << "Enter Id: ";
cin.ignore();
getline(cin, bid.bidId);
cout << "Enter title: ";
getline(cin, bid.title);
cout << "Enter fund: ";
cin >> bid.fund;
cout << "Enter amount: ";
cin.ignore();
string strAmount;
getline(cin, strAmount);
bid.amount = strToDouble(strAmount, '$');
return bid;
}
/**
* Load a CSV file containing bids into a container
*
* @param csvPath the path to the CSV file to load
* @return a container holding all the bids read
*/
vector<Bid> loadBids(string csvPath) {
cout << "Loading CSV file " << csvPath <<
endl;
// Define a vector data structure to hold a collection of
bids.
vector<Bid> bids;
// initialize the CSV Parser using the given path
csv::Parser file = csv::Parser(csvPath);
try {
// loop to read rows of a CSV file
for (int i = 0; i < file.rowCount(); i++) {
// Create a data structure and add to the collection of
bids
Bid bid;
bid.bidId = file[i][1];
bid.title = file[i][0];
bid.fund = file[i][8];
bid.amount = strToDouble(file[i][4], '$');
//cout << "Item: " << bid.title << ", Fund: " << bid.fund << ", Amount: " << bid.amount << endl;
// push this bid to the end
bids.push_back(bid);
}
} catch (csv::Error &e) {
std::cerr << e.what() << std::endl;
}
return bids;
}
// FIXME (2a): Implement the quick sort logic over bid.title
/**
* Partition the vector of bids into two parts, low and high
*
* @param bids Address of the vector<Bid> instance to be
partitioned
* @param begin Beginning index to partition
* @param end Ending index to partition
*/
int partition(vector<Bid>& bids, int begin, int end)
{
int l = begin;
int h = end;
int pivot = (begin + (end - begin) / 2);
bool finished = false;
// this while loops continually increments the low point as long
as it's below the pivot
// then continually decrements the high point as long as it's above
the pivot
while(!finished) {
while(bids[l].title.compare(bids[pivot].title) < 0) {
++l;
}
while(bids[pivot].title.compare(bids[h].title) < 0) {
--h;
}
if (l >= h) {
finished = true;
// if variable l is not greater than or equal to h the two bids are
swapped
} else {
swap(bids[l] , bids[h]);
//bring end points closer to one another
++l;
--h;
}
}
return h;
}
/**
* Perform a quick sort on bid title
* Average performance: O(n log(n))
* Worst case performance O(n^2))
*
* @param bids address of the vector<Bid> instance to be
sorted
* @param begin the beginning index to sort on
* @param end the ending index to sort on
*/
void quickSort(vector<Bid>& bids, int begin, int end)
{
}
// FIXME (1a): Implement the selection sort logic over bid.title
/**
* Perform a selection sort on bid title
* Average performance: O(n^2))
* Worst case performance O(n^2))
*
* @param bid address of the vector<Bid>
* instance to be sorted
*/
void selectionSort(vector<Bid>& bids) {
// this creates an index to the smallest minimum bid found
unsigned int smallest;
unsigned int largest = bids.size();
// place designates the position at which bids are
sorted/unsorted
for (unsigned place = 0; place < largest; ++place) {
smallest = place;
for (unsigned j = place + 1; j < largest; ++j) {
if (bids[j].title.compare(bids[smallest].title) < 0) {
smallest = j;
}
}
if (smallest != place)
swap(bids[place], bids[smallest]);
}
}
/**
* Simple C function to convert a string to a double
* after stripping out unwanted char
*
* credit: http://stackoverflow.com/a/24875936
*
* @param ch The character to strip out
*/
double strToDouble(string str, char ch) {
str.erase(remove(str.begin(), str.end(), ch), str.end());
return atof(str.c_str());
}
/**
* The one and only main() method
*/
int main(int argc, char* argv[]) {
// process command line arguments
string csvPath;
switch (argc) {
case 2:
csvPath = argv[1];
break;
default:
csvPath = "eBid_Monthly_Sales_Dec_2016.csv";
}
// Define a vector to hold all the bids
vector<Bid> bids;
// Define a timer variable
clock_t ticks;
int choice = 0;
while (choice != 9) {
cout << "Menu:" << endl;
cout << " 1. Load Bids" << endl;
cout << " 2. Display All Bids" << endl;
cout << " 3. Selection Sort All Bids" << endl;
cout << " 4. Quick Sort All Bids" << endl;
cout << " 9. Exit" << endl;
cout << "Enter choice: ";
cin >> choice;
switch (choice) {
case 1:
// Initialize a timer variable before loading bids
ticks = clock();
// Complete the method call to load the bids
bids = loadBids(csvPath);
cout << bids.size() << " bids read" << endl;
// Calculate elapsed time and display result
ticks = clock() - ticks; // current clock ticks minus starting
clock ticks
cout << "time: " << ticks << " clock ticks"
<< endl;
cout << "time: " << ticks * 1.0 / CLOCKS_PER_SEC
<< " seconds" << endl;
break;
case 2:
// Loop and display the bids read
for (int i = 0; i < bids.size(); ++i) {
displayBid(bids[i]);
}
cout << endl;
break;
// FIXME (1b): Invoke the selection sort and report timing
results
ticks = clock();
// call selectionSort method to sort the loaded bids
selectionSort(bids);
cout << bids.size() << " bids read" << endl;
// Calculate elapsed time and display result
ticks = clock() - ticks; // current clock ticks minus starting
clock ticks
cout << "time: " << ticks << " clock ticks"
<< endl;
cout << "time: " << ticks * 1.0 / CLOCKS_PER_SEC
<< " seconds" << endl;
break;
// FIXME (2b): Invoke the quick sort and report timing results
ticks = clock();
// call quickSort method to sort the loaded bids
quickSort(bids, 0, bids.size() - 1);
cout << bids.size() << " bids read" << endl;
// Calculate elapsed time and display result
ticks = clock() - ticks; // current clock ticks minus starting
clock ticks
cout << "time: " << ticks << " clock ticks"
<< endl;
cout << "time: " << ticks * 1.0 / CLOCKS_PER_SEC
<< " seconds" << endl;
break;
}
cout << "Good bye." << endl;
return 0;
}
In: Computer Science
Which of the following statements about value is FALSE?
|
Value includes the concept of quality, but it is broader in scope. |
||
|
Value takes into account every marketing program element. |
||
|
Unlike quality, value means the same thing to all customers. |
||
|
Value is critical to maintaining long-term customer relationships. |
||
|
Value allows for the necessary balance among the types of utility. |
2.Relevance is a critical criterion in formulating a value claim for a positioning statement. The makers of Cialis, an erectile dysfunction (ED) drug, are considering a value claim that it "enhances intimacy and relationship." To assess the relevance of this claim, Cialis must determine if the claim:
|
is unique among value claims of competitor brands. |
||
|
aligns with the specific needs of the target market. |
||
|
can be endorsed by an authority figure or a celebrity. |
||
|
is supportable by scientific evidence. |
3.Assume that Park Paper Products believes its customers typically use satisficing decision making when purchasing paper products. Which of the following would likely be the least effective market strategy?
|
Make products easy to find |
||
|
Offer products at an affordable price |
||
|
Design colorful packaging to make products stand out from other offerings |
||
|
Secure a large amount of shelf space |
||
|
Focus advertising on the technical reasons why products are best in class |
4.All of the following should be part of Best Buy's in-store marketing strategy to influence sales of consumer electronics in its stores EXCEPT:
|
recognizability of the brand name. |
||
|
method of product delivery. |
||
|
acceptability of the price point. |
||
|
the decision to display the product or not. |
5.
Line is the most widely used messaging app in Japan, Thailand,
and Taiwan. After achieving success by focusing on chatting, video
calling, photo sharing, and other communication functions, the firm
leveraged its large customer base to expand beyond these functions.
Line now offers online purchasing, delivery, taxi-hailing, and
financial services.
of the three major product policy decisions faced by a firm, Line
has been primarily engaged in:
|
Increasing product line depth |
||
|
Widening product accessibility |
||
|
Increasing product line breadth |
||
|
Increasing product line breadth |
6.In the case study about the marketing of Propecia, who were the two key decision-makers involved in the purchase and use of Propecia?
|
Merck and consumers |
||
|
Consumers and physicians |
||
|
Primary care physicians and dermatologists |
||
|
Buyers and users |
||
|
Merck and health care insurance providers |
7.You are the vice president of marketing for a regional chain of fine dining restaurants. You have created policies to ensure that every fulltime employee has the training and skills to deliver the highest quality customer experiences. For example, every server is authorized to surprise customers with one-bite appetizers as part of the company's Customer Delight program. The company refers to these policies as employee empowerment. This is an example that best matches which of the four sets of activities for creating a customer-centric culture?
|
Coordination |
||
|
Cooperation |
||
|
Capability |
||
|
Connection |
In: Operations Management
|
Carpenter Cornices, Ltd., produces a wide variety of cornice moldings for windows at a plant located in Evergreen Park, Illinois. Because there are hundreds of products, some of which are made only to order, the company uses a job-order costing system. On July 1, the start of the company’s fiscal year, inventory account balances were as follows: |
|
Raw materials |
$ | 12,800 |
|
Work in process |
$ | 6,800 |
| Finished goods |
$ |
10,500 |
|
The company applies overhead cost to jobs on the basis of machine-hours. Its predetermined overhead rate for the fiscal year starting July 1 was based on a cost formula that estimated $200,600 of manufacturing overhead for an estimated activity level of 59,000 machine-hours. During the year, the following transactions were completed (Assume all purchases and services were acquired on account): |
| a. | Raw materials purchased on account, $204,000. |
| b. |
Raw materials requisitioned for use in production, $165,000 (materials costing $154,000 were chargeable directly to jobs; the remaining materials were indirect). |
| c. | Costs for employee services were incurred as follows: |
| Direct labor | $ | 112,000 |
| Indirect labor | $ | 48,800 |
| Sales commissions | $ | 35,000 |
| Administrative salaries | $ | 54,000 |
| d. |
Prepaid insurance expired during the year, $28,500 ($17,900 of this amount related to factory operations, and the remainder related to selling and administrative activities). |
|||||||||||||||||||||||||
| e. | Utility costs incurred in the factory, $26,000. | |||||||||||||||||||||||||
| f. | Advertising costs incurred, $15,000. | |||||||||||||||||||||||||
| g. |
Depreciation recorded on equipment, $40,000. ($26,000 of this amount was on equipment used in factory operations; the remaining $14,000 was on equipment used in selling and administrative activities.) |
|||||||||||||||||||||||||
| h. |
Manufacturing overhead cost was applied to jobs, $?. (The company recorded 30,000 machine-hours of operating time during the year.) |
|||||||||||||||||||||||||
| i. | Goods that had cost $328,000 to manufacture according to their job cost sheets were completed. | |||||||||||||||||||||||||
| j. |
Sales (all on account) to customers during the year totaled $619,000. These goods had cost $327,000 to manufacture according to their job cost sheets.
|
3-bPrepare a journal entry to close any balance in the
Manufacturing Overhead account to Cost of Goods Sold.
Record the entry to close any balance in the Manufacturing Overhead account to Cost of Goods Sold.\
4-
|
Prepare an income statement for the year. (Round your intermediate calculations to 2 decimal places.) |
In: Accounting