Questions
Assume the following model of the expenditure sector: C = 1000 +.7 (Y-T) Consumption Function T...

Assume the following model of the expenditure sector:
C = 1000 +.7 (Y-T) Consumption Function
T = 300+ .2985 Y Tax Function
I = 500 – 50 r Investment Function
G = 2000 Government Expenditures
NX = - 1500 Net Exports
Md/P = .5 Y -50 r Demand for Money
Ms/P = 1000 Money Supply
a- Calculate the multiplier for this economy. (Use two decimal points)
b- Drive the “IS” and “LM” equations for this economy.
c- Fiscal policy authorities decided to use the expansionary Fiscal Policy by increasing
the G by $500. As result of this action
i- What would be the new interest rate and real GDP equilibrium?
ii- What would be the amount of the crowding out as result of the policy?

In: Economics

Ferry Services Incorporated (FSI) is a public company that has three divisions. The first division provides...

Ferry Services Incorporated (FSI) is a public company that has three divisions. The first division provides coastal ferry services on the West and East coasts of Canada. The second division designs and builds ferries for their own use as well as for external customers. The third division operates and manages ferry terminal buildings.
In 2011, FSI anticipates a taxable loss of $20 million due to a major hurricane that sunk one of their ferry ships and caused extensive damage to one of their terminal buildings. For the past three years they have had taxable income of 2008 - $5 million; 2009 - $10 million; and 2010 - $8 million.
FSI has a number of long-term bank loans with Canadian Big Bank. In 2011, they obtained additional financing to recover from the costs associated with the hurricane. The bank requires annual audited financial statements. The new loan has a financial covenant requiring that FSI maintain a certain current ratio, as well as dividend distribution is restricted until the loan is paid off.
You have recently been hired to develop new accounting policies for FSI’s Dec 31 year-end. You have been asked by the Board to discuss alternatives and provide recommendations on the appropriate accounting policies for events that have occurred during 2011. Where possible you have been asked to quantify the impact of the accounting policies. The incremental borrowing rate for FSI is 8%. The tax rates for the last few years were: 2008 (40%), 2009 (38%), and 2010 (38%). The tax rate for 2011 is 40%.
1) A major hurricane hit the Eastern Coast in the fall of 2011. This hurricane was tracking to miss the Eastern Seaboard but had a sudden change in direction. FSI was caught off guard and one of their ferries as well as a ferry terminal was in the direct path of the hurricane. Unfortunately, FSI found out that their insurance did not cover hurricane damage. To cover the costs associated with the damages FSI obtained a new five year bank loan of $25 million with quarterly interest payments. Their cost of borrowing was 8% a year. To obtain the loan FSI had to pay $1 million of transaction costs.
2) The ferry was one of their older ferries with a carrying amount of $2 million dollars. The costs to recover the ferry are approximately $3 million and it is anticipated they will receive $0.5 million worth of salvaged material. The ferry will need to be replaced and construction was initiated in December 2011. The estimated construction costs are $20 million since the ferry will be state of the art with a new weather warning software system. Construction is expected to be completed in the spring of 2013. Until that time a ferry was brought out of retirement. The ferry had been retired due to extensive renovations required to meet environmental legislation. These renovations cost FSI $2 million in 2011.
Page 2
3) The damage to the terminal was $7 million. FSI leases all of their terminals from Leasing Incorporated (LI). This lease has a remaining lease term of 2 years. Due to the terms of the lease agreement FSI is required to pay a large penalty of $5 million dollars for repairs to the terminal. This cost far exceeds the remaining benefits of the lease agreement.
4) A lawsuit was launched in December 2011 against FSI due to the tragedy of the sinking of the ferry. FSI decided that they want to settle quickly out of court to avoid negative publicity. They have offered $5 million to the families. Their lawyers have not responded to this offer.
5) Passengers can purchase their ferry tickets on-line through Tickets.com. To encourage use of the ferry FSI provides passengers free parking if they purchase an annual pass. Otherwise passengers pay a daily rate to park their vehicle.
6) Some of the ferries contain asbestos. Changes in government legislation in 2011 require FSI to remove the asbestos in 2016. The anticipated cost of removal is $5 million.
7) FSI leases their ferry terminals from Leasing Incorporated. In 2011, FSI obtained the rights to operate a ferry on a new route. They entered into a lease agreement for a newly constructed terminal and the land. The lease term is for 60 years with a 20 year bargain renewal term.
8) In 2011, FSI issued $10,000,000 of 8% convertible bonds at the option of FSI into common shares. These bonds mature in five years and are convertible at that time by FSI into common shares at a rate of 50 shares for each $1,000 bond.

In: Accounting

A trucking company determined that the distance traveled per truck per year is normally​ distributed, with...

A trucking company determined that the distance traveled per truck per year is normally​ distributed, with a mean of 60 thousand miles and a standard deviation of 10 thousand miles. Complete parts​ (a) through​ (d) below.

a. What proportion of trucks can be expected to travel between 48 and 60 thousand miles in a​ year?

b. What percentage of trucks can be expected to travel either less than 40 or more than 75 thousand miles in a​ year?

c. How many miles will be traveled by at least 85​% of the​ trucks?

d. What are your answers to parts​ (a) through​ (c) if the standard deviation is 8 thousand​ miles? I

f the standard deviation is 8 thousand​ miles, the proportion of trucks that can be expected to travel between 48 and 60 thousand miles in a year is . ​(Round to four decimal places as​ needed.)

If the standard deviation is 8 thousand​ miles, the percentage of trucks that can be expected to travel either less than 40 or more than 75 thousand miles in a year is . ​(Round to two decimal places as​ needed.)

If the standard deviation is 8 thousand​ miles, the number of miles that will be traveled by at least 85​% of the trucks is . ​(Round to the nearest mile as​ needed.)

In: Statistics and Probability

10.45 Is there a difference in the variance of the satisfaction rating of traditional cellphone providers...

10.45 Is there a difference in the variance of the satisfaction rating of traditional cellphone providers who bill for service at the end of a month (often under contract) and prepaid cellphone service providers who bill in advance without a contract? The file CellphoneProviders contains the satisfaction rating for 10 traditional cellphone providers and 13 prepaid cellphone service providers.

  1. At the 0.05 level of significance, is there evidence of a difference in the variability of the satisfaction rating between the types of cellphone providers?
  2. Determine the p-value in (a) and interpret its meaning.
  3. What assumption do you need to make in (a) about the two populations in order to justify your use of the F test?
  4. Based on the results of (a) and (b), which t test defined in section 10.1 should you use to compare the mean satisfaction rating of the two types of cellphone providers?
CellPhone Provider Type Rating
Consumer Cellular Traditional 89
Ting Traditional 88
Grat Cell/Jitterbug Traditional 79
Credo Mobile Traditional 78
Virgin Mobile Traditional 76
U. S. Cellular Traditional 73
T-Mobile Traditional 73
Verizon Wireless Traditional 70
AT&T Traditional 68
Sprint Traditional 67
Republic Wireless PrePaid 87
Cricket PrePaid 85
Page Plus Cellular PrePaid 84
Straight Talk PrePaid 80
TracFone PrePaid 79
MetroPCS PrePaid 78
Virgin Mobile PrePaid 76
Net10 PrePaid 76
Boost Mobile PrePaid 75
T-Mobile PrePaid 74
Verizon Wireless PrePaid 70
AT&T PrePaid 70
Sprint PrePaid 66

In: Statistics and Probability

SALARY EDUC EXPER TIME 39000 12 0 1 40200 10 44 7 42900 12 5 30...

SALARY EDUC EXPER TIME
39000 12 0 1
40200 10 44 7
42900 12 5 30
43800 8 6 7
43800 8 8 6
43800 12 0 7
43800 12 0 10
43800 12 5 6
44400 15 75 2
45000 8 52 3
45000 12 8 19
46200 12 52 3
48000 8 70 20
48000 12 6 23
48000 12 11 12
48000 12 11 17
48000 12 63 22
48000 12 144 24
48000 12 163 12
48000 12 228 26
48000 12 381 1
48000 16 214 15
49800 8 318 25
51000 8 96 33
51000 12 36 15
51000 12 59 14
51000 15 115 1
51000 15 165 4
51000 16 123 12
51600 12 18 12
52200 8 102 29
52200 12 127 29
52800 8 90 11
52800 8 190 1
52800 12 107 11
54000 8 173 34
54000 8 228 33
54000 12 26 11
54000 12 36 33
54000 12 38 22
54000 12 82 29
54000 12 169 27
54000 12 244 1
54000 15 24 13
54000 15 49 27
54000 15 51 21
54000 15 122 33
55200 12 97 17
55200 12 196 32
55800 12 133 30
56400 12 55 9
57000 12 90 23
57000 12 117 25
57000 15 51 17
57000 15 61 11
57000 15 241 34
60000 12 121 30
60000 15 79 13
61200 12 209 21
63000 12 87 33
63000 15 231 15
46200 12 12 22
50400 15 14 3
51000 12 180 15
51000 12 315 2
52200 12 29 14
54000 12 7 21
54000 12 38 11
54000 12 113 3
54000 15 18 8
54000 15 359 11
57000 15 36 5
60000 8 320 21
60000 12 24 2
60000 12 32 17
60000 12 49 8
60000 12 56 33
60000 12 252 11
60000 12 272 19
60000 15 25 13
60000 15 36 32
60000 15 56 12
60000 15 64 33
60000 15 108 16
60000 16 46 3
63000 15 72 17
66000 15 64 16
66000 15 84 33
66000 15 216 16
68400 15 42 7
69000 12 175 10
69000 15 132 24
81000 16 55 33

This data set was obtained by collecting information on a randomly selected sample of 93 employees working at a bank.

SALARY-  starting annual salary at the time of hire

EDUC  -  number of years of schooling at the time of the hire

EXPER -  number of months of previous work experience at the time of hire

TIME   -  number of months that the employee has been working at the bank until now

2. Use the least squares method to fit a simple linear model that relates the salary (dependent variable) toeducation (independent variable).

a)  What is your model? State the hypothesis that is to be tested, the decision rule, the test statistic, and your decision, usinga level of significance of 5%.

b)  What percentage of the variation in salary has been explained by the regression?

c) Provide a 95% confidence interval estimate for the true slope value.

d) Based on your model, what is the expected salary of a new hire with 12 years of education

e ) What is the 95% prediction interval for the salary of a new hire with 12 years of education? Use the fact that the distance value = 0.011286

In: Statistics and Probability

SALARY EDUC EXPER TIME 39000 12 0 1 40200 10 44 7 42900 12 5 30...

SALARY EDUC EXPER TIME
39000 12 0 1
40200 10 44 7
42900 12 5 30
43800 8 6 7
43800 8 8 6
43800 12 0 7
43800 12 0 10
43800 12 5 6
44400 15 75 2
45000 8 52 3
45000 12 8 19
46200 12 52 3
48000 8 70 20
48000 12 6 23
48000 12 11 12
48000 12 11 17
48000 12 63 22
48000 12 144 24
48000 12 163 12
48000 12 228 26
48000 12 381 1
48000 16 214 15
49800 8 318 25
51000 8 96 33
51000 12 36 15
51000 12 59 14
51000 15 115 1
51000 15 165 4
51000 16 123 12
51600 12 18 12
52200 8 102 29
52200 12 127 29
52800 8 90 11
52800 8 190 1
52800 12 107 11
54000 8 173 34
54000 8 228 33
54000 12 26 11
54000 12 36 33
54000 12 38 22
54000 12 82 29
54000 12 169 27
54000 12 244 1
54000 15 24 13
54000 15 49 27
54000 15 51 21
54000 15 122 33
55200 12 97 17
55200 12 196 32
55800 12 133 30
56400 12 55 9
57000 12 90 23
57000 12 117 25
57000 15 51 17
57000 15 61 11
57000 15 241 34
60000 12 121 30
60000 15 79 13
61200 12 209 21
63000 12 87 33
63000 15 231 15
46200 12 12 22
50400 15 14 3
51000 12 180 15
51000 12 315 2
52200 12 29 14
54000 12 7 21
54000 12 38 11
54000 12 113 3
54000 15 18 8
54000 15 359 11
57000 15 36 5
60000 8 320 21
60000 12 24 2
60000 12 32 17
60000 12 49 8
60000 12 56 33
60000 12 252 11
60000 12 272 19
60000 15 25 13
60000 15 36 32
60000 15 56 12
60000 15 64 33
60000 15 108 16
60000 16 46 3
63000 15 72 17
66000 15 64 16
66000 15 84 33
66000 15 216 16
68400 15 42 7
69000 12 175 10
69000 15 132 24
81000 16 55
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.41198516
R Square 0.16973178
Adjusted R Square 0.16060795
Standard Error 6501.12045
Observations 93
ANOVA
df SS MS F Significance F
Regression 1 786253429 786253429 18.60313 4.08E-05
Residual 91 3.85E+09 42264567.1
Total 92 4.63E+09
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 38185.5979 3774.3766 10.117061 1.45E-16 30688.26252 45682.93 30688.26 45682.93
X Variable 1 1280.85932 296.96712 4.31313512 4.08E-05 690.9706164 1870.748 690.9706 1870.748

This data set was obtained by collecting information on a randomly selected sample of 93 employees working at a bank.

SALARY- starting annual salary at the time of hire

EDUC   - number of years of schooling at the time of the hire

EXPER - number of months of previous work experience at the time of hire

TIME    - number of months that the employee has been working at the bank until now

2. Use the least squares method to fit a simple linear model that relates the salary (dependent variable) to education (independent variable).

a- What is your model? State the hypothesis that is to be tested, the decision rule, the test statistic, and your decision, using a level of significance of 5%.

b – What percentage of the variation in salary has been explained by the regression?

c – Provide a 95% confidence interval estimate for the true slope value.

d - Based on your model, what is the expected salary of a new hire with 12 years of education?

e – What is the 95% prediction interval for the salary of a new hire with 12 years of education? Use the fact that the distance value = 0.011286

In: Statistics and Probability

Write a C++ program that prints a calendar for a given year. ONLY USING "#include<iostream>" and...

Write a C++ program that prints a calendar for a given year.

ONLY USING "#include<iostream>" and "#include<cmath>" The program prompts the user for two inputs:

      1) The year for which you are generating the calendar.
      2) The day of the week that January first is on, you will use the following notation to set the day of the week:

      0 Sunday                     1 Monday                   2 Tuesday                   3 Wednesday
      4 Thursday                 5 Friday                      6 Saturday

Your program should generate a calendar similar to the one shown in the example output below. The calendar should be printed on the screen. Your program should be able to handle leap years. A leap year is a year in which we have 466 days. That extra day comes at the end of February. Thus, a leap year has 466 days with 29 days in February. A century year is a leap year if it is divisible by 400. Other years divisible by 4 but not by 100 are also leap years.

Example: Year 2000 is a leap year because it is divisible by 400.  Year 2004 is a leap year because it is divisible by 4 but not by 100.

Your program should clearly describe the functionality of each function and should display the instructions on how to run the program.

Sample Input:

Enter the year for which you wish to generate the calendar: 2018
Enter the day of the week that January first is on: 1

Sample output:

Calendar for year 2018

January
Sun      Mon     Tue      Wed     Thu      Fri        Sat
            1          2          4           4          5          6         

7          8          9          10        11        12        14       

14       15        16        17         18        19        20       

21       22        24        24         25        26        27       

28       29        40        41

February
Sun      Mon     Tue      Wed     Thu      Fri        Sat
                                                1          2          4         

4          5          6          7          8          9          10       

11        12        14        ..         ..          ..          ..         

..          ..          ..          ..          ..          ..          ..

..

..

..

In: Computer Science

RISK AND RETURN – (A) Consider the expected return and standard deviation of these four stocks...

RISK AND RETURN –

(A) Consider the expected return and standard deviation of these four stocks (chart below). If investors are buying only one stock, which one of these stocks would no investor buy? Why? (PLEASE INCLUDE FORMULAS USED TO SOLVE PROBLEM FOR EXCEL).

STOCK EXPECTED RETURN STANDARD DEVIATION
A 6% 1%
B 7% 1.5%
C 7% 2%
D 8% 2%

ADDING AN ASSET TO A PORTFOLIO -

(B) Your current portfolio's cash returns over the past three years look like this:

YEAR 1 YEAR 2 YEAR 3 E(CF) o
Your Portfolio CF's 120 100 80 100 20

The past three years are representative of a good year, an average year, and a bad year for you. You are considering adding one of these two equally priced assets to your portfolio:

YEAR 1 YEAR 2 YEAR 3 E(CF) o
New Asset 1 6 6 6 6 0
New Asset 2 2 6 10 6 4

Which asset would be best for you? Calculate the portfolio expected return, variance, and standard deviation when adding each new asset? (PLEASE INCLUDE FORMULAS USED TO SOLVE PROBLEM FOR EXCEL).

In: Finance

1. The relation between gram and amu is represented by ____________________________(use NA = 6 x 10*23)...

1. The relation between gram and amu is represented by ____________________________(use NA = 6 x 10*23)

2. The atomic mass of Rubidium is 85, so the mass of one mole of Rubidium is______________________.

3. The atomic mass of silver (Ag) is 108. find the mass of two moles of silver atoms.___________________

4. The atomic mass of lithium (Li) is 7. the mass of one atom of lithium is ________________________.

5. Given the following atomic masses: N=14; O=16. tha is the molecular mass of N2O5?_______________________________

6. (Given: atomic masses of H=1; O =16;and S=32) The mass of one mole of sulphuric acid, H2SO4, is______________________________

7. Given the following atomic masses; N=14; O=16. What is the molar mass of N2O2?__________________________________________

8. How many moles are there in 3.9g of K? [Atomic mass of K=39]________________________________

9. Find the number of moles in 51 g of ammonia gas (NH3). [N=14; H=1]________________________

10. How many moles are present in 6.3 g of nitric acid HNO3? [Given atomic mass of H=1, N=14 and Q=16]

11. How many moles are contained in 620g of pure H2CO3? [Given atomic masses: H=1,C=12 and O=16]________________________

In: Chemistry

A paper company requires that the true median height of pine trees exceed 40 feet before...

A paper company requires that the true median height of pine trees exceed 40 feet before they are harvested. A penalty is assigned if the median height is less than 40 feet. The management wants to avoid this penalty. A sample of 24 trees in one large plot is selected, and 7 of them are over 40 feet. Conduct the appropriate hypothesis test to determine if the median height of pine trees in the plot is less than 40 feet. The estimated median is 35 feet. Do not assume normality. Let a = 0.05.

In: Math