QUESTION 15 VFIC Industries has come up with a new mountain bike prototype and is ready to go ahead with pilot production and test marketing. The pilot production and test marketing phase will cost $500,000 and last for one year. The management team believes that there is a 50% chance that the test marketing will be successful and that there will be sufficient demand for the new mountain bike. If the test-marketing phase is successful, then VFIC will invest $3 million to build a plant immediately that will generate expected annual after-tax cash flows of $400,000 in perpetuity starting in year two. If the test marketing is not successful, VFIC can still go ahead and build the new plant, but the expected annual after-tax cash flows would be only $200,000 in perpetuity starting in year two. VFIC's cost of capital is 10%. Suppose that VFIC has the option to sell the prototype mountain bike at the end of the first year for $300,000. The NPV of the VFIC Mountain Bike Project is around: A. $90,909 B. $204,545 C. $455,000 D. -$45,455 E. None of the above
In: Finance
Consider the following items in the Knapsack Problem:
Item weight value Knapsack capacity W = 9.
1 3 $6
2 4 $12
3 2 $10
4 5 $20
Determine the maximum value in the knapsack if we allow repetitions; i.e., if there are an unlimited number of each item so that more than one such item can be chosen.
Find the missing value in the following linear array. P(w) is the maximum profit obtainable for a knapsack of capacity w.
w-->
0 1 2 3 4 5 6 7 8 9
P(w): 0 0 10 10 20 20 30 30 40 ?
P(9) =
Select one:
a. $38
b. $43
c. $32
d. $40
In: Statistics and Probability
A clinic manager conducted an 8-week training on new regulations affecting the practice. Each employee took a pre-assessment and a post-assessment to determine their level of knowledge on the content of the training. The data are as follow:
| Individual | Pre | Post |
| 1 | 2.4 | 3 |
| 2 | 2.5 | 2.8 |
| 3 | 3 | 3.5 |
| 4 | 2.9 | 3.1 |
| 5 | 2.7 | 3.5 |
| 6 | 2.7 | 3.3 |
| 7 | 2.8 | 3.1 |
| 8 | 3.3 | 3.8 |
| 9 | 3.2 | 3.4 |
| 10 | 3 | 3.8 |
| 11 | 2.1 | 2.7 |
| 12 | 2.2 | 2.5 |
| 13 | 2.7 | 3.2 |
| 14 | 2.6 | 2.8 |
| 15 | 2.4 | 3.2 |
A) Conduct the appropriate t-test and indicate your evidence at α = 0.05 that the training was effective.
B) Write a one-sentence journal entry for the results.
C) Is this a two-tailed or one-tailed test? Explain your choice.
In: Statistics and Probability
6.Suppose that you had savings deposited in an account at an interest rate of 5 percent and your father told you that he earned 10 percent interest 20 years ago.
Which of you was getting the better return?
How would your answer change if you were told that the inflation rate in the United States was 12 percent 20 years ago and is 3 percent now?
7.Suppose you have $1,000, which you can put in two different types of accounts at a bank. One account pays interest of 8 percent per year; the other pays interest of 2 percent per year plus the rate of inflation.
Calculate the real return you will receive after one year if the inflation rate is 5 percent.
Which account will you choose if you expect the rate of inflation to be 8 percent? Why?
In: Economics
8. Mr. Toriop owns 5000 shares of stock in Yummy Corporation. The company has announced that it will pay a dividend of $5 per share in one year and then a liquidating dividend of $50 per share in two years. The required return on ABC stock is 10%.
a. What is the current share price of your stock? (1 mark)
b. What will be the company’s share price in one year? (1 mark)
c. Mr. Toriop wishes to have equal amount of dividend income for the next two years. How can he use homemade leverage on Yummy Corporation’s dividends to achieve this goal? Check that the present value of the cash flows will be the same as they are before the homemade leverage. (Hint: Dividends will be in the form of an annuity.)
d. Suppose Mr. Toriop is thinking about buying a house for $220,000 in one year. How can he use homemade leverage on Yummy Corporation’s dividends to achieve this goal? Check that the present value of the cash flows will be the same as they are before the homemade leverage.
e. Suppose Mr. Toriop is thinking about postponing the house purchase for two years, by which time the price of the house will have increased by $35,000. How can he use homemade leverage on Yummy Corporation’s dividends to achieve this goal? Check that the present value of the cash flows will be the same as they are before the homemade leverage.
In: Accounting
Transcribing Anonymous SEC Tips
Java or Python
* The function is expected to return a STRING_ARRAY.
* The function accepts following parameters:
* 1. STRING_ARRAY inputNames
* 2. STRING_ARRAY secRecords
*/
Problem Statement
Introduction
Imagine you are helping the Security Exchange Commission (SEC) respond to anonymous tips. One of the biggest problems the team faces is handling the transcription of the companies reported by the callers. You've noticed that sometimes the company name is misheard by the person taking the call, sometimes it is simply mistyped, and sometimes both. These problems make it more difficult to search the SEC records to identify the company.
You have access to the list of transcribed company names and the database of SEC records. We need a way to effectively translate company names based on their transcriptions so we can narrow our search results to the one company we are interested in.
Input
You will receive a string array representing the list of transcribed company names.
Each string in the array takes the following form:
You will also receive a string array representing the database of SEC records.
You may also make the following assumptions about the structure:
Output
For each transcribed company name in the input string array, you want to match that to a company name (first part of a string) in the SEC database. The second part of the string in the SEC database will represent the company's EIN. Your output should also be a string array, this time representing the EINs mapped to the names in the input string array. You may assume that every input name will match a name in the SEC records.
Responding to Calls
The Basics
Let's start with the first step: making sure that if the name is transcribed perfectly, we match that company's record in the database right away. This will give you an idea of how to match company names in our system and what the output array should be. This will also show you how the input is structured if you desire to make your own custom inputs. The input comes in the form of two string arrays, where the first line represents the length of the array. An example is below.
Input
3
Pear Computers
Construct An Ursus
Planetary Technologies
3
Pear Computers;54-1264938
Construct An Ursus;58-1481332
Planetary Technologies;19-3563561
Output
["54-1264938", "58-1481332", "19-3563561"]
Your code should pass test cases 0, 1, and 2 after solving this step.
Misspellings
The second thing we want to look for are basic misspellings due to the transcriber hearing the company name correctly but missing a keystroke or pressing the wrong key instead. Think "Harveys Steakhouse" turns into "Harfeys Sreakhouse" or "Sugar and Sugar" turns into "Sugra and Sugar". In the first example, the transcriber missed the "v" key and hit "f" instead, and missed "t" and hit "r" instead. In the second, the transcriber accidentally typed "r" before "a". You should pass test cases 3 through 8 after solving this problem. Hint: looking up the phrase "string edit distance" in a search engine should be of some help to you here.
Input
3
Pewar Computers
Consuct A Ursuus
Planteray Techniligies
3
Pear Computers;54-1264938
Construct An Ursus;58-1481332
Planetary Technologies;19-3563561
Output
["54-1264938", "58-1481332", "19-3563561"]
Metaphones
The last and trickiest instance of transcription comes in the form of arbitrary misspellings resulting from the transcriber either hearing the name correctly and using a different spelling than the one in our database, or mishearing the name in some form. Think "Ashley Antiques" vs. "Ashlee Antiques" vs. "Ashleigh Antiques" or "Rate My Reading" turns into "Great My Treating". This is a purposefully very open-ended and tricky problem, and you are not expected to get all cases. One example is viewable and most are purposefully hidden - try to be creative with your solution, as there are multiple ways you could solve this piece! Test cases 9 through 16 are the ones that relate to this part of the problem; as before, an example is below.
Input
3
Pare Computers
Conduct An Ersis
Palintary Technawlogies
3
Pear Computers;54-1264938
Construct An Ursus;58-1481332
Planetary Technologies;19-3563561
Output
["54-1264938", "58-1481332", "19-3563561"]
In: Computer Science
Littleton Medical Center (LMC) has three service departments (accounting, HR, and Janitorial/maintenance) and two patient units: hospital and an outpatient clinic. The following table summarizes the Operations of LMC for the last fiscal year.
| Service Dept | Service Dept Cost |
| HR | $1,750,000 |
| Accounting | $1,450,000 |
| Janitorial/Maintenance | $2,500,000 |
These Department Costs are allocated to the two patient units (hospital and clinic). The following table summarized the allocation based used to allocate each service department and the utilization of each allocation base.
Service Departments Patient Units
Service Depts HR Acctg Jan/Maint Clinic Hospital Allocation Base
| HR | 50 | 150 | 2,000 | 3,000 | Employees | |
| Accounting | 50 | 100 | 6,000 | 4,000 | Transactions (000) | |
| Janitorial/Maintenance | 8,000 | 9,000 | 150,000 | 400,000 | Square Feet |
A. Allocate the three service departments' costs (HR, Accounting, and Janitorial/Maintenance) to the two patient units (clinic and hospital) using the direct allocation method.
B. Allocate the three service departments costs (HR, Accounting and Janitorial/Maintenance) to the two patient units (Clinic and Hospital) using the step-down allocation method.
C. What are the primary advantages of the step=down method compared to the direct allocation method?
In: Accounting
Suppose that we wish to test a claim that a sequence of sample data was produced in a random manner, and suppose that each data value belongs to one of two categories. Let n1 be the number of elements in the sequence that belong to the first category, n2 be the number of elements in the sequence that belong to the second category, and G be the number of runs in such a sequence.
Answer each of the following questions
(a) The null hypothesis H0 is given by
A. n1=n2
B. The data are in a random order
C. Median=0
D. The data are in an order that is not
random
E. β=0
F. ρ=0
G. G=0
H. r=0
I. None of the above.
(b) The null hypothesis H1 is given by
A. n1≠n2
B. ρ≠0
C. β≠0
D. The data are in an order that is not
random
E. The data are in a random order
F. G≠0
G. r≠0
H. Median ≠0
I. None of the above.
(c) If α=.05, n1=19, n2=10 and G=16, then the test statistic
is
A. z=+2.15097992486021.
B. z=1.79688627814193.
C. z=−1.79688627814193.
D. G=−16.
E. z=−0.0550236217881157.
F. z=0.0550236217881157.
G. z=−0.79688627814193.
H. z=0.79688627814193.
I. z=−2.15097992486021.
J. G=16.
K. None of the above.
(d) If α=.01, n1=10, n2=19 and G=16, then the test statistic
is
A. z=−0.79688627814193.
B. z=2.79688627814193.
C. z=−2.79688627814193.
D. G=−16G=−16.
E. z=1.28688627814193.
F. z=0.79688627814193.
G. z=1.79688627814193.
H. z=−1.28688627814193.
I. G=16.
J.z=−1.79688627814193.
K. None of the above.
In: Statistics and Probability
| 13 a-d. What would be the best test for the scenario? State the test and why. | List of Potential Tests | ||||||||||
| z-test | |||||||||||
| One-sample t-test | |||||||||||
| Independent samples t-test | |||||||||||
| Paired t-test | |||||||||||
| Analysis of Variance (ANOVA) | |||||||||||
| Simple Linear Regression | |||||||||||
| Multiple Linear Regression | |||||||||||
| Logistic Regression | |||||||||||
| Chi-square Test of Independence | |||||||||||
| a. Does marijuana smoking affect the appetite of cancer patients? | |||||||||||
| Compare three smoking groups (i.e., never, less than 4 times per month, 4 or more times per month) on the number of calories consumed in a week. Each group has 20 people. | |||||||||||
| b. Do women diagnosed with gestational diabetes consume fewer grams of carbohydrates each day than other pregnant women? | |||||||||||
| A study was conducted with 50 women with gestational diabetes and 75 nondiabetic pregnant women. | |||||||||||
| c. Does age and fitness activity influence weight loss? | |||||||||||
| Your fitness center starts a version of the Biggest Loser. They enroll 30 participants and measure weight loss every other week over a 10 week period. Weight loss is defined as pounds lost in two week period. Age is categorized into 4 groups. Fitness activity is measured as number of hours spent exercising per two week period. | |||||||||||
| d. Does the experience level of surgeon, surgery location, and comorbidity influence post surgical complications? | |||||||||||
| A sample of 100 surgeries for a specific procedure is obtained, along with the number of the same procedure done in the past year by surgeon, surgery location (Ambulatory Surgery Center/Hospital), whether the patient had two specific comorbid conditions, and whether the patient had post surgical complications (Yes if complication/No if no complication). | |||||||||||
In: Math
The CSUSM Restaurant just finished its fourth year of operation. Through the great efforts of its manager and staff, this restaurant has become one of the most popular and fastest-growing restaurants in the SD County. The manager has recently decided to improve the capacity planning process of the restaurant. To do so, they need to come up with an effective forecasting procedure to predict the monthly sales of foods for up to a year in advance (12 months). Data file RestaurantCSUSM shows the value of food sales ($100s) for the first four years of operation.Month Sales 1 1331 2 1293 3 1276 4 979 5 1012 6 770 7 798 8 836 9 605 10 715 11 836 12 1133 13 1447 14 1309 15 1359 16 1062 17 1062 18 820 19 864 20 886 21 671 22 715 23 919 24 1265 25 1551 26 1403 27 1458 28 1128 29 1155 30 880 31 913 32 957 33 693 34 814 35 952 36 1293 37 1651 38 1513 39 1558 40 1228 41 1255 42 980 43 1013 44 1015 45 798 46 919 47 1052 48 1394
In: Statistics and Probability