1. What is the science of Economics? Explain the definition.
2. What kinds of resources do you know? Examples
3. Examples of the capital resources (name as much as you know)
4. What are the sources of income for households?
5. What are the disadvantages of Partnerships?
6. What are the roles of government?
7. The 'law of supply' suggests that …
8. The ‘law of demand’ suggest that …
9. What is GDP? Explain.
10. What is the definition of recession and the signs? Explain.
11. Provide the examples of limitations to the GDP.
12. What is the labor force?
13. What sources of unemployment do you know? Explain briefly their meaning with examples.
14. What is inflation?
15. What are the three main causes of inflation?
16. Name the factors that determine economic growth.
17. What is the multiplier effect? Examples of such a situation.
18. Provide the example of Assets.
19. Provide the example of liabilities
20. What is barter?
21. What are the functions of money?
22. What are the properties of the ideal money?
23. What is check?
24. Explain the structure of the Federal Reserve System
25. What is fiat money?
26. What is the job of the Federal Deposit Insurance Corporation (FDIC)?
27. What are the Fed Goals?
28. What is a subprime mortgage?
29. Name all the elements of M1.
30. Name all the elements of M2
31. What is dollarization?
32. What is currency union?
33. What is asymmetric information?
34. What was the name of the first bankers?
35. Government Stabilizes the Economy through two different tools. What are they?
36. Monetary policy –actions by the Federal Reserve System, and Fiscal policy- Actions by ….
37. What is the discretionary fiscal policy?
38. What is the automatic fiscal policy?
39. What is a budget deficit?
40. National Debt. Who do we owe most of the money? How long can the country run a debt?
41. What is national debt? What do you know about national debt?
42. One of the problem with Fiscal policies is so-called Leg problem. Explain.
43. What are the problems with the federal budget?
44. What did you learn from your term paper?
In: Economics
R-Studio; Statistics The data set in the table considers information on the spread of prostate cancer to the lymph nodes for 53 patients.
For a sample of prostate cancer patients, a set of possible predictor variables were measured before surgery to determine if the lymph nodes were compromised. Subsequently, the patient underwent surgery and the status of his lymph nodes was determined.
The data set contains 53 observations of 7 variables:
id: identifiers for each subject in the study. ssln: takes the value of 1 if the cancer has spread to the lymph nodes and 0 if not. age: a numeric vector containing the age of the patient at the time of diagnosis. acid: a numerical vector that contains the levels of acid phosphatase in the blood (serum acid phosphatase or prostatic acid phosphatase PAP). High PAP levels may be associated with the presence of prostate cancer. xray: a measure of the seriousness of the cancer obtained from a radiological examination. A value of 1 represents a more serious case. size: Size of the tumor determined by palpation. A value of 1 identifies a large tumor that can be palpated without problems. grade: Another measure of tumor seriousness obtained from a pathologist reading a biopsy obtained using a needle prior to surgery. 1 corresponds to a more serious case.
Use R-studio to determine which of the variables taken before surgery are associated with the spread of cancer to the lymph nodes.
Please provide the code you used to solve this problem.
| id | ssln | age | acid | xray | size | grade | |
| 1 | 1 | 0 | 66 | 0.48 | 0 | 0 | 0 |
| 2 | 2 | 0 | 68 | 0.56 | 0 | 0 | 0 |
| 3 | 3 | 0 | 66 | 0.5 | 0 | 0 | 0 |
| 4 | 4 | 0 | 56 | 0.52 | 0 | 0 | 0 |
| 5 | 5 | 0 | 58 | 0.5 | 0 | 0 | 0 |
| 6 | 6 | 0 | 60 | 0.49 | 0 | 0 | 0 |
| 7 | 7 | 0 | 65 | 0.46 | 1 | 0 | 0 |
| 8 | 8 | 0 | 60 | 0.62 | 1 | 0 | 0 |
| 9 | 9 | 1 | 50 | 0.56 | 0 | 0 | 1 |
| 10 | 10 | 0 | 49 | 0.55 | 1 | 0 | 0 |
| 11 | 11 | 0 | 61 | 0.62 | 0 | 0 | 0 |
| 12 | 12 | 0 | 58 | 0.71 | 0 | 0 | 0 |
| 13 | 13 | 0 | 51 | 0.65 | 0 | 0 | 0 |
| 14 | 14 | 1 | 67 | 0.67 | 1 | 0 | 1 |
| 15 | 15 | 0 | 67 | 0.47 | 0 | 0 | 1 |
| 16 | 16 | 0 | 51 | 0.49 | 0 | 0 | 0 |
| 17 | 17 | 0 | 56 | 0.5 | 0 | 0 | 1 |
| 18 | 18 | 0 | 60 | 0.78 | 0 | 0 | 0 |
| 19 | 19 | 0 | 52 | 0.83 | 0 | 0 | 0 |
| 20 | 20 | 0 | 56 | 0.98 | 0 | 0 | 0 |
| 21 | 21 | 0 | 67 | 0.52 | 0 | 0 | 0 |
| 22 | 22 | 0 | 63 | 0.75 | 0 | 0 | 0 |
| 23 | 23 | 1 | 59 | 0.99 | 0 | 0 | 1 |
| 24 | 24 | 0 | 64 | 1.87 | 0 | 0 | 0 |
| 25 | 25 | 1 | 61 | 1.36 | 1 | 0 | 0 |
| 26 | 26 | 1 | 56 | 0.82 | 0 | 0 | 0 |
| 27 | 27 | 0 | 64 | 0.4 | 0 | 1 | 1 |
| 28 | 28 | 0 | 61 | 0.5 | 0 | 1 | 0 |
| 29 | 29 | 0 | 64 | 0.5 | 0 | 1 | 1 |
| 30 | 30 | 0 | 63 | 0.4 | 0 | 1 | 0 |
| 31 | 31 | 0 | 52 | 0.55 | 0 | 1 | 1 |
| 32 | 32 | 0 | 66 | 0.59 | 0 | 1 | 1 |
| 33 | 33 | 1 | 58 | 0.48 | 1 | 1 | 0 |
| 34 | 34 | 1 | 57 | 0.51 | 1 | 1 | 1 |
| 35 | 35 | 1 | 65 | 0.49 | 0 | 1 | 0 |
| 36 | 36 | 0 | 65 | 0.48 | 0 | 1 | 1 |
| 37 | 37 | 0 | 59 | 0.63 | 1 | 1 | 1 |
| 38 | 38 | 0 | 61 | 1.02 | 0 | 1 | 0 |
| 39 | 39 | 0 | 53 | 0.76 | 0 | 1 | 0 |
| 40 | 40 | 0 | 67 | 0.95 | 0 | 1 | 0 |
| 41 | 41 | 0 | 53 | 0.66 | 0 | 1 | 1 |
| 42 | 42 | 1 | 65 | 0.84 | 1 | 1 | 1 |
| 43 | 43 | 1 | 50 | 0.81 | 1 | 1 | 1 |
| 44 | 44 | 1 | 60 | 0.76 | 1 | 1 | 1 |
| 45 | 45 | 1 | 45 | 0.7 | 0 | 1 | 1 |
| 46 | 46 | 1 | 56 | 0.78 | 1 | 1 | 1 |
| 47 | 47 | 1 | 46 | 0.7 | 0 | 1 | 0 |
| 48 | 48 | 1 | 67 | 0.67 | 0 | 1 | 0 |
| 49 | 49 | 1 | 63 | 0.82 | 0 | 1 | 0 |
| 50 | 50 | 1 | 57 | 0.67 | 0 | 1 | 1 |
| 51 | 51 | 1 | 51 | 0.72 | 1 | 1 | 0 |
| 52 | 52 | 1 | 64 | 0.89 | 1 | 1 | 0 |
| 53 | 53 | 1 | 68 | 1.26 | 1 | 1 | 1 |
In: Statistics and Probability
Plot logistic regression in Rstudio: The data set in the table considers information on the spread of prostate cancer to the lymph nodes for 53 patients.
For a sample of prostate cancer patients, a set of possible predictor variables were measured before surgery to determine if the lymph nodes were compromised. Subsequently, the patient underwent surgery and the status of his lymph nodes was determined.
The data set contains 53 observations of 7 variables:
id: identifiers for each subject in the study. ssln: takes the value of 1 if the cancer has spread to the lymph nodes and 0 if not. age: a numeric vector containing the age of the patient at the time of diagnosis. acid: a numerical vector that contains the levels of acid phosphatase in the blood (serum acid phosphatase or prostatic acid phosphatase PAP). High PAP levels may be associated with the presence of prostate cancer. xray: a measure of the seriousness of the cancer obtained from a radiological examination. A value of 1 represents a more serious case. size: Size of the tumor determined by palpation. A value of 1 identifies a large tumor that can be palpated without problems. grade: Another measure of tumor seriousness obtained from a pathologist reading a biopsy obtained using a needle prior to surgery. 1 corresponds to a more serious case.
Using Rstudio, plot the logistic regression model associated to this exercise to explain which of the variables taken before surgery are associated with the spread of cancer to the lymph nodes.
Use the table below:
| id | ssln | age | acid | xray | size | grade | |
| 1 | 1 | 0 | 66 | 0.48 | 0 | 0 | 0 |
| 2 | 2 | 0 | 68 | 0.56 | 0 | 0 | 0 |
| 3 | 3 | 0 | 66 | 0.5 | 0 | 0 | 0 |
| 4 | 4 | 0 | 56 | 0.52 | 0 | 0 | 0 |
| 5 | 5 | 0 | 58 | 0.5 | 0 | 0 | 0 |
| 6 | 6 | 0 | 60 | 0.49 | 0 | 0 | 0 |
| 7 | 7 | 0 | 65 | 0.46 | 1 | 0 | 0 |
| 8 | 8 | 0 | 60 | 0.62 | 1 | 0 | 0 |
| 9 | 9 | 1 | 50 | 0.56 | 0 | 0 | 1 |
| 10 | 10 | 0 | 49 | 0.55 | 1 | 0 | 0 |
| 11 | 11 | 0 | 61 | 0.62 | 0 | 0 | 0 |
| 12 | 12 | 0 | 58 | 0.71 | 0 | 0 | 0 |
| 13 | 13 | 0 | 51 | 0.65 | 0 | 0 | 0 |
| 14 | 14 | 1 | 67 | 0.67 | 1 | 0 | 1 |
| 15 | 15 | 0 | 67 | 0.47 | 0 | 0 | 1 |
| 16 | 16 | 0 | 51 | 0.49 | 0 | 0 | 0 |
| 17 | 17 | 0 | 56 | 0.5 | 0 | 0 | 1 |
| 18 | 18 | 0 | 60 | 0.78 | 0 | 0 | 0 |
| 19 | 19 | 0 | 52 | 0.83 | 0 | 0 | 0 |
| 20 | 20 | 0 | 56 | 0.98 | 0 | 0 | 0 |
| 21 | 21 | 0 | 67 | 0.52 | 0 | 0 | 0 |
| 22 | 22 | 0 | 63 | 0.75 | 0 | 0 | 0 |
| 23 | 23 | 1 | 59 | 0.99 | 0 | 0 | 1 |
| 24 | 24 | 0 | 64 | 1.87 | 0 | 0 | 0 |
| 25 | 25 | 1 | 61 | 1.36 | 1 | 0 | 0 |
| 26 | 26 | 1 | 56 | 0.82 | 0 | 0 | 0 |
| 27 | 27 | 0 | 64 | 0.4 | 0 | 1 | 1 |
| 28 | 28 | 0 | 61 | 0.5 | 0 | 1 | 0 |
| 29 | 29 | 0 | 64 | 0.5 | 0 | 1 | 1 |
| 30 | 30 | 0 | 63 | 0.4 | 0 | 1 | 0 |
| 31 | 31 | 0 | 52 | 0.55 | 0 | 1 | 1 |
| 32 | 32 | 0 | 66 | 0.59 | 0 | 1 | 1 |
| 33 | 33 | 1 | 58 | 0.48 | 1 | 1 | 0 |
| 34 | 34 | 1 | 57 | 0.51 | 1 | 1 | 1 |
| 35 | 35 | 1 | 65 | 0.49 | 0 | 1 | 0 |
| 36 | 36 | 0 | 65 | 0.48 | 0 | 1 | 1 |
| 37 | 37 | 0 | 59 | 0.63 | 1 | 1 | 1 |
| 38 | 38 | 0 | 61 | 1.02 | 0 | 1 | 0 |
| 39 | 39 | 0 | 53 | 0.76 | 0 | 1 | 0 |
| 40 | 40 | 0 | 67 | 0.95 | 0 | 1 | 0 |
| 41 | 41 | 0 | 53 | 0.66 | 0 | 1 | 1 |
| 42 | 42 | 1 | 65 | 0.84 | 1 | 1 | 1 |
| 43 | 43 | 1 | 50 | 0.81 | 1 | 1 | 1 |
| 44 | 44 | 1 | 60 | 0.76 | 1 | 1 | 1 |
| 45 | 45 | 1 | 45 | 0.7 | 0 | 1 | 1 |
| 46 | 46 | 1 | 56 | 0.78 | 1 | 1 | 1 |
| 47 | 47 | 1 | 46 | 0.7 | 0 | 1 | 0 |
| 48 | 48 | 1 | 67 | 0.67 | 0 | 1 | 0 |
| 49 | 49 | 1 | 63 | 0.82 | 0 | 1 | 0 |
| 50 | 50 | 1 | 57 | 0.67 | 0 | 1 | 1 |
| 51 | 51 | 1 | 51 | 0.72 | 1 | 1 | 0 |
| 52 | 52 | 1 | 64 | 0.89 | 1 | 1 | 0 |
| 53 | 53 | 1 | 68 | 1.26 | 1 | 1 | 1 |
In: Accounting
| The data to the right represent the
number of customers waiting for a table at?6:00 P.M. for
40 consecutive Saturdays at? Bobak's Restaurant. Complete parts?(a) through? (h) below. |
|
|
Number of Customers |
Frequency |
||
|
1–3 |
7 |
||
|
4–6 |
18 |
||
|
7-9 |
8 |
||
|
10–12 |
6 |
||
|
13–15 |
1 |
||
?(c) Construct a relative frequency distribution of the data.
|
Number of Customers |
Relative Frequency |
||
|
1dash–3 |
0.175 |
||
|
4dash–6 |
0.45 |
||
|
7dash–9 |
0.2 |
||
|
10dash–12 |
0.15 |
||
|
13dash–15 |
0.025 |
||
?
?(d) What percentage of the Saturdays had 7 or more customers waiting for a table at? 6:00 P.M.?
(e) What percentage of the Saturdays had 7 or fewer customers waiting for a table at 6:00 P.M.?
Please show your work.
In: Statistics and Probability
On October 1, 2020, Mr. Elon Musky starts a business. Mr. Musky chooses December 31 as the fiscal year end for his business. With the cash given to him by his rich uncle, he purchases the following assets:
Class 1 (10%):
A $980,000 brick building that will accommodate his manufacturing operations.
Class 8 (20%):
Three billboards costing $1,300 each
A cash register worth $2,800
A barcode scanner $1,900
Furniture and fixtures for a total of $16,000
Class 10.1 (30%):
A BMW sedan that he purchased new for $85,000. The vehicle is used exclusively for business purposes.
Class 12 (100%):
Mr. Musky purchased a variety of tools, dies, jigs, patterns and moulds. Although the total spent on these items was $18,000, no individual item costed more than $500.
Class 13 (SL):
Elon will need space to store his raw materials and finish goods. On October 1, he signs a 10-year lease with 3 renewal options. Each renewal option allows him to rent the warehouse for an additional 2 years. To meet his storage needs, Mr. Musky immediately spends $45,000 making improvements to the warehouse.
Class 14 (SL):
On November 1, Elon purchases a copyright from one of his competitors for $85,000. At the time of the purchase, the copyright had a remaining life of 25 years.
Class 14.1 (5%):
Elon spent a total of $5,000 on incorporation fees for his business. He plans to expense as much of these fees as he possibly can. He also acquires two smaller business that he thought would have been his major competitors. With the acquisition of the first business, a payment of $258,000 was made for goodwill. For the acquisition of the second business, a payment of $228,000 was reported for goodwill. Both business are fully absorbed into Elon’s operations.
Class 50 (55%):
Mr. Musky acquired four computers, each costing $3,000, and 2 cell phones costing $1,200 each.
Class 53 (50%):
Manufacturing equipment of all sorts was acquired at a total cost of $850,000.
During the year 2021, the following transactions took place:
Purchases made during the year.
Class 10.1 (30%):
Feeling that one car was not enough to meet his needs, Elon purchases a high-end Tesla for $130,000. This vehicle is also used exclusively for business purposes.
Class 12 (100%):
More small jigs and dies are purchased for a total of $5,500.
Class 50 (55%):
Two iPad tablets at a price of $1,300 each.
Class 53 (50%):
A casting machine was purchased for $10,000.
Dispositions of assets that occurred during the year.
Class 14 (SL):
The copyright is no longer needed and was sold for $65,000.
Class 50 (55%):
One of the computers was sold for $1,000
Class 53 (50%):
Manufacturing equipment that had originally been purchased for $3,950 was sold for $4,500.
During the year 2022, the following transactions took place:
Purchases made during the year.
Class 13 (SL):
On November 1, 2022, more improvements were made to the leased warehouse costing a total of $66,000.
Class 53 (50%):
A new manufacturing machine was purchase for $105,000.
Dispositions of assets that occurred during the year.
Class 10.1 (30%):
While speeding on the highway, Mr. Musky lost control of his Tesla and totally destroyed his car. Elon received $85,000 from his insurance company as compensation for his destroyed Tesla.
Class 12 (100%):
Ten dies were sold for total proceeds of $3,300. These dies had been purchased for $450 each.
Class 14.1 (5%):
During the year, Elon sells a portion of his business and as a consequence, receives a payment for goodwill of $272,000.
Required:
Calculate the maximum CCA that can be claimed during the year as well as the closing UCC balances for the years ending December 31, 2020, 2021, and 2022.
Calculate any taxable capital gains, allowable capital losses, recapture or terminal losses resulting from the above transactions.
On October 1, 2020, Mr. Elon Musky starts a business. Mr. Musky chooses December 31 as the fiscal year end for his business. With the cash given to him by his rich uncle, he purchases the following assets:
Class 1 (10%):
A $980,000 brick building that will accommodate his manufacturing operations.
Class 8 (20%):
Three billboards costing $1,300 each
A cash register worth $2,800
A barcode scanner $1,900
Furniture and fixtures for a total of $16,000
Class 10.1 (30%):
A BMW sedan that he purchased new for $85,000. The vehicle is used exclusively for business purposes.
Class 12 (100%):
Mr. Musky purchased a variety of tools, dies, jigs, patterns and moulds. Although the total spent on these items was $18,000, no individual item costed more than $500.
Class 13 (SL):
Elon will need space to store his raw materials and finish goods. On October 1, he signs a 10-year lease with 3 renewal options. Each renewal option allows him to rent the warehouse for an additional 2 years. To meet his storage needs, Mr. Musky immediately spends $45,000 making improvements to the warehouse.
Class 14 (SL):
On November 1, Elon purchases a copyright from one of his competitors for $85,000. At the time of the purchase, the copyright had a remaining life of 25 years.
Class 14.1 (5%):
Elon spent a total of $5,000 on incorporation fees for his business. He plans to expense as much of these fees as he possibly can. He also acquires two smaller business that he thought would have been his major competitors. With the acquisition of the first business, a payment of $258,000 was made for goodwill. For the acquisition of the second business, a payment of $228,000 was reported for goodwill. Both business are fully absorbed into Elon’s operations.
Class 50 (55%):
Mr. Musky acquired four computers, each costing $3,000, and 2 cell phones costing $1,200 each.
Class 53 (50%):
Manufacturing equipment of all sorts was acquired at a total cost of $850,000.
During the year 2021, the following transactions took place:
Purchases made during the year.
Class 10.1 (30%):
Feeling that one car was not enough to meet his needs, Elon purchases a high-end Tesla for $130,000. This vehicle is also used exclusively for business purposes.
Class 12 (100%):
More small jigs and dies are purchased for a total of $5,500.
Class 50 (55%):
Two iPad tablets at a price of $1,300 each.
Class 53 (50%):
A casting machine was purchased for $10,000.
Dispositions of assets that occurred during the year.
Class 14 (SL):
The copyright is no longer needed and was sold for $65,000.
Class 50 (55%):
One of the computers was sold for $1,000
Class 53 (50%):
Manufacturing equipment that had originally been purchased for $3,950 was sold for $4,500.
During the year 2022, the following transactions took place:
Purchases made during the year.
Class 13 (SL):
On November 1, 2022, more improvements were made to the leased warehouse costing a total of $66,000.
Class 53 (50%):
A new manufacturing machine was purchase for $105,000.
Dispositions of assets that occurred during the year.
Class 10.1 (30%):
While speeding on the highway, Mr. Musky lost control of his Tesla and totally destroyed his car. Elon received $85,000 from his insurance company as compensation for his destroyed Tesla.
Class 12 (100%):
Ten dies were sold for total proceeds of $3,300. These dies had been purchased for $450 each.
Class 14.1 (5%):
During the year, Elon sells a portion of his business and as a consequence, receives a payment for goodwill of $272,000.
Required:
Calculate the maximum CCA that can be claimed during the year as well as the closing UCC balances for the years ending December 31, 2020, 2021, and 2022.
Calculate any taxable capital gains, allowable capital losses, recapture or terminal losses resulting from the above transactions.
In: Accounting
|
Recent difficult economic times have caused an increase in the foreclosure rate of home mortgages. Statistics from the Penn Bank and Trust Company show their monthly foreclosure rate is now one loan out of every 160 loans. Last month the bank approved 311 loans. |
| (a) |
How many foreclosures would you expect the bank to have last month? (Do not round intermediate calculations. Round your answer to 4 decimal places.) |
| Expected foreclosures |
| (b) | What is the probability of exactly two foreclosures? (Round your answer to 4 decimal places.) |
| Probability |
| (c) | What is the probability of at least one foreclosure? (Round your answer to 4 decimal places.) |
| Probability |
In: Statistics and Probability
Prof. Business wants a 22-year retirement annuity that begins 9 years from today with an equal annual payment equal to $115,000 today inflated at 2.5% annually over 9 years. Her first retirement annuity payment would occur 9 years from today. She realizes her purchasing power will decrease over time during retirement.
Prof. Business currently has $660,000 in her University retirement account. She expects these savings and any future deposits into her University and any other retirement account will earn 8% compounded annually. Also, she expects to earn 7% annual return after she retires.
Prof. Business now wants to consider retiring two years earlier in 7 years and will deposit her required University contributions each year as in question 4 and will deposit and additional $14,400 at the end of each year for the next 7 years (first deposit totals $35,400). Also, she will require a 24-year retirement annuity.
Answer from #4:
| Value of retirement account after investment period | 1951366.329 |
| Amount of annual investment | $50,612.24 |
Questions:
a) How much money will Prof. Business have in her retirement account immediately after her last deposit 7 years from today?
b) What would be the equal annual payment from her 24-year retirement annuity whose first payment occurs exactly 7 years from today?
Please show work and functions on an excel spreadsheet.
In: Finance
Let A be the sum of the last four digits and let B be the last digit of your 8-digit student ID. (Example: For 20245347, A = 19 and B = 7) On a road trip, a driver achieved an average speed of (48.0+A) km/h for the first 86.0 km and an average speed of (43.0-B) km/h for the remaining 54.0 km. What was her average speed (in km/h) for the entire trip? Round your final answer to three significant figures.
In: Physics
Consider an investor who wishes to invest 40% allocation to defensive investments and 60% allocation to growth investments. The investor has worked out the forecasted volatility, expected return and correlation between the two types of investments as below:
| Investments | Volatility | Return |
| Defensive | 6% per annum | 5% per annum |
| Growth | 18% per annum | 11% per annum |
The correlation between growth and defensive investments is 0.05
Calculate the return and volatility of the portfolio.
Group of answer choices
8.6% and 11.18%
8.6% and 11.06%
8% and 11.06%
None of the other answers
8% and 11.18%
In: Finance
Python program
A number game machine consists of three rotating disks labelled with the numbers 0 to 9 (inclusive). If certain combinations of numbers appear when the disks stop moving, the player wins the game.
The player wins if
otherwise the player loses.
Write a Python program to simulate this number game by randomly generating 3 integer values between 0 and 9 (inclusive), and printing whether the player has won or lost the game.
To randomly generate a number between and including 0 and 9, use the randintmethod from random library module. For example, x = random.randint(1,100)will automatically generate a random integer between 1 and 100 (inclusive) and store it in x.
Sample output 1:
Random numbers: 2 3 5 You lose.
Sample output 2:
Random numbers: 7 7 0 You win!
In: Computer Science