Macroeconomics, Please, I need these bedone right away. Thank you
Lecture 1: Origins and Mission of the Federal Reserve
Questions:
1. What are the policy goals or objectives of the â??Fedâ???
2. What are (or were) the policy tools of the Fed?
3. What is the Chairmanâ??s view of financial panics?
4. What is meant by the â??lender of last resortâ???
5. What is Bernankeâ??s view of what caused the Great Depression of the
1930â??s?
6. What does Bernanke see as the â??policy errorsâ?? of the 1930s?
7. What is the back story of Bryanâ??s â??cross of goldâ?? speech and the
Wizard of Oz?
Lecture 2: The Federal Reserve after World War II
Questions:
1. What is the mission of a central bank?
2. What was the â??Accordâ???
3. What is the Chairmanâ??s view of â??The Great Inflationâ???
4. What is meant by the â??Great Moderationâ???
5. What is Bernankeâ??s view of the prelude to the financial crisis?
6. What does Bernanke see as the â??policy errorsâ?? of the 1930s?
Lecture 3: The Federal Reserveâ??s Response to the Financial Crisis
Questions:
1. What are the main tools of central banking?
2. What was the role of â??subprime mortgagesâ???
3. What is the Chairmanâ??s view of the crisis as a classic â??financial
panicâ???
4. What was the policy response to the panic?
5. What were the Fedâ??s actions during the panic?
6. What were the consequences of the crisis for the â??economyâ???
Lecture 4: The Aftermath of the Crisis
Questions:
1. What did the Fed do to restore financial stability and strengthen the
banking system?
2. What was monetary policy during the crisis?
3. What are â??Large-Scale Asset Purchasesâ???
4. What is Bernankeâ??s view of monetary policy communication?
5. What was the view of the â??Economic Recoveryâ???
6. What are the former Chairmanâ??s â??Conclusionsâ???
In: Economics
Question 5
Measurements were recorded for the slapshot speed of 100 minor-league hockey players. These measurements were found to be normally distributed with mean of 88.421 mph and standard deviation of 3.5543 mph. Would it be unusual to record a value below 80.55 mph?
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Question 6
Pinterest claims that 0.3719 of their app users are men. In a sample of 78 randomly chosen app users, what is the probability that less than 36 of them will be men?
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Question 7
Pinterest claims that 0.3808 of their app users are men. In a sample of 74 randomly chosen app users, what is the probability that between 29 and 31 (inclusively) of them will be men?
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Question 8
Pinterest claims that 0.3249 of their app users are men. In a sample of 61 randomly chosen app users, what is the probability that no more than 25 of them will be men?
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Question 9
According to a survey conducted by Deloitte in 2017, 0.46 of U.S. smartphone owners have made an effort to limit their phone use in the past. In a sample of 80 randomly selected U.S. smartphone owners, approximately __________ owners, give or take __________, will have attempted to limit their cell phone use in the past. Assume each pick is independent.
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In: Statistics and Probability
Sales of floor cleaners at Lavoie's Flooring Co. over the past 13 months are as follows:
| Sales of floor cleaners -Lavoie's Flooring Co. | |||
| Month | Sale ($1,000s) | Total 3 Months | 3 Months Avg. |
| January | 11 | ||
| February | 14 | 41 | 13.66666667 |
| March | 16 | 40 | 13.33333333 |
| April | 10 | 41 | 13.66666667 |
| May | 15 | 42 | 14 |
| June | 17 | 43 | 14.33333333 |
| July | 11 | 42 | 14 |
| August | 14 | 42 | 14 |
| September | 17 | 43 | 14.33333333 |
| October | 12 | 43 | 14.33333333 |
| November | 14 | 42 | 14 |
| December | 16 | 41 | 13.66666667 |
| January | 11 | 27 | 9 |
| February | ? | 11 |
3.666666667 |
A. Using a moving average with three periods, determine the demand for floor cleaners for next February.
Answer: When using a moving average with three periods, we can determine the demand for floor cleaner in the next February is 3.6
B. Using a weighted moving average with three periods, determine the demand for floor cleaners for February.
Use 4, 2, and 1 for the weights of the most recent, second most recent, and third most recent periods, respectively. For example, if you were forecasting the demand for February, November would have a weight of 1, December would have a weight of 2, and January would have a weight of 4.
Answer:
| November | 14 | 14*1 = 14 | Forcast Fabruary = (14*1)+(16*2)+(11*4) / 4+2+1 | |||
| December | 16 | 16*2 = 32 | 90/7= | 12.857 | ||
| January | 11 | 11*4 = 44 | ||||
| February | ? | |||||
C. Use a trend analysis to forecast the demand for floor cleaners.
Answer: ?
D. Evaluate and compare the accuracy of each of these methods using at least one of the forecast error measures.
Answer: ?
F. Are all of the models used in parts a - c appropriate to use with the data provided? Why?
Answer: ?
In: Statistics and Probability
A child psychologist treats four children who are afraid of snakes with a behavioral modification procedure called systematic desensitization. In this procedure, children were slowly introduced to a snake over four treatment sessions. Children rated how fearful they are of the snake before the first session (baseline) and following each treatment session. Higher ratings indicated greater fear. The hypothetical data are listed in the table.
| Sessions | ||||
|---|---|---|---|---|
| Baseline | 1 | 2 | 3 | 4 |
| 7 | 7 | 5 | 4 | 3 |
| 7 | 6 | 6 | 4 | 4 |
| 6 | 6 | 7 | 7 | 3 |
| 7 | 7 | 5 | 4 | 3 |
(a) Complete the F-table. (Round your value for F to two decimal places.)
| Source of Variation |
SS | df | MS | Fobt |
|---|---|---|---|---|
| Between groups |
||||
| Between persons |
||||
| Within groups (error) |
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| Total |
(b) Compute a Bonferroni procedure and interpret the results.
(Assume experimentwise alpha equal to 0.05.)
Ratings of fear significantly decreased from Session 1 to Session 4. Ratings of fear also significantly decreased from Session 2 to Session 4.
Ratings of fear significantly decreased from baseline to Session 3. Ratings of fear also significantly decreased from Session 1 to Session 4.
Ratings of fear significantly decreased from baseline to Session 3. Ratings of fear also significantly decreased from baseline to Session 4.
None of the pairwise comparisons are significant.
Ratings of fear significantly decreased from baseline to Session
4.
In: Statistics and Probability
1) find the solution t the non-homogenous DE
y''-16y=3e5x , y(0)=1 , y'(0)=2
2)find the solution to the DE using cauchy-euler method
x2y''+7xy'+9y=0 , y(1)=2 , y'(1)=3
3)find the solution to the DE using Laplace
y''+8y'+16y=0 , y(0)=-1 , y'(0)=8
In: Advanced Math
Find the general solution
1.(1+x2) (d2y/dx2) + x (dy/dx) + ax = 0
2. ρ(dθ/dρ) –2/ρ (dρ/dθ) = 0
3.(dy/dx)2 -4x (dy/dx) +6y = 0
4.y(d2y/dx2) + (dy/dx)2 = (dy/dx)
5.Solve simultaneously:
(dx/dt) + (dy/dt) + y –x = e2t
(d2x/dt2) + (dy/dt) = 3 e2t
6.Using method of variation of parameter, solve: y'' – 8 y' +16 y = 6x e4x
In: Advanced Math
Suppose a firm the following production function: f(x1,x2)=x_1^(1/2) x_2^(1/2)
This firm purchases inputs and sells output in competitive markets. The price of output is $10 per unit and the prices of the inputs x1 and x2 are $10 and $2 respectively. In the short run x2 is fixed and equal to 16. The marginal product for input 1 is: MP1=4/(x_1^(1/2) )
a) What is the profit maximizing level of input 1 for this firm
to hire?
b) What is the profit maximizing level of output and the associated
level of profits?
c) Derive a function describing isoprofit lines for this firm.
Calculate and describe the slope of an isoprofit line for this
firm.
d) Suppose the price of input 1 increases to $20. Use your
isoprofit function to find the optimal amount of input 1 for this
firm to hire.
In: Economics
The questions involve the data set for asking prices of Richmond
townhouses obtained on 2014.11.03.
For your subset, the response variable is:
asking price divided by 10000:
askpr=c(65.8, 41.99, 54.8, 44.8, 50.8, 50.5, 54.98, 81.9, 48.5,
51.99, 26.99, 108.8, 57.8, 79.99, 33.7, 55.8, 40.8, 56.88, 46.8,
79.8, 53.8, 45.99, 40.9, 62.9, 48.8, 65.99, 58.39, 57.8, 50.8,
78.8, 68.8, 86.8, 54.8, 68.5, 58.68, 52.4, 51.68, 68.5, 59.8, 57.5,
68.8, 58.8, 53.9, 61.5, 47.9, 47.8, 77.8, 25.9, 60.8, 74.8)
The explanatory variables are:
(i) finished floor area divided by 100
ffarea=c(13.45, 12.9, 11.26, 9.4, 12.27, 12.26, 13.06, 20.95, 14.8,
12.09, 10.5, 23.98, 12.01, 22, 12, 13.06, 12.26, 15.78, 16.2,
15.25, 10.95, 16.01, 16.06, 14, 14.8, 22.78, 15.09, 13.84, 16.6,
19.48, 15.95, 15.08, 15.46, 13.59, 13.96, 16.22, 15.1, 15.76,
17.63, 13.46, 16.9, 17.37, 11.84, 14.5, 12.1, 13.34, 16.5, 6.1,
13.2, 17.48)
(ii) age
age=c(1, 44, 0, 14, 17, 3, 1, 19, 24, 7, 37, 16, 0, 20, 28, 0, 29,
17, 30, 3, 18, 25, 25, 5, 50, 35, 8, 10, 23, 11, 18, 1, 41, 2, 9,
25, 20, 4, 26, 10, 8, 26, 15, 7, 7, 32, 3, 11, 3, 5)
(iii) monthly maintenance fee divided by 10
mfee=c(18.2, 23.2, 24.8, 23.3, 25.2, 18, 19.6, 34.8, 16.1, 18.1,
28, 36.9, 14.2, 26.7, 25.9, 18.6, 19.8, 17.3, 16, 35, 24.7, 33.7,
24.4, 19.6, 25, 57.4, 20.3, 16, 19.9, 20.4, 23.6, 48.8, 31, 17, 22,
36.4, 24.5, 22.1, 32, 22.1, 19.4, 31, 21, 18.7, 18, 24.5, 25.4,
17.1, 18.9, 29.7)
(iv) number of bedrooms
beds=c(3, 3, 2, 2, 2, 3, 3, 1, 3, 3, 2, 3, 3, 3, 2, 3, 3, 4, 4, 2,
2, 3, 2, 3, 3, 2, 4, 3, 4, 3, 3, 3, 3, 3, 3, 3, 3, 4, 5, 3, 4, 3,
2, 3, 3, 3, 4, 1, 3, 4)
You are to make a prediction of the response variable when
ffarea=18, age=11, mfee=27, beds=3.
You are to fit three multiple regression models with the response
variable askpr:
(i) 2 explanatory variables ffarea, age
(ii) 3 explanatory variables ffarea, age, mfee
(iii) 4 explanatory variables ffarea, age, mfee, beds
After you have copied the above R vectors into your R session, you
can get a dataframe with
richmondtownh=data.frame(cbind(askpr,ffarea,age,mfee,beds))
Please use 3 decimal places for the answers below which are not
integer-valued
Part a)
The values of adjusted ?2R2 for the above models with 2, 3 and 4
explanatory variables are respectively:
2 explanatory:
3 explanatory:
4 explanatory:
Part b)
For the best of these 3 models based on adjusted ?2R2, the number
of explanatory variables is:
Part c)
For the best of these 3 models based on adjusted ?2R2, the least
squares coefficient for ffarea is
and a 95% confidence interval for ???????βffarea is
to
Part d)
For the best of these 3 models based on adjusted ?2R2, get the
prediction, SE and 95% prediction interval when the future values
of the explanatory variables are: ffarea=18, age=11, mfee=27,
beds=3.
prediction: and its SE ,
and the upper endpoint of the 95% prediction interval is
In: Statistics and Probability
Two-Way ANOVA Extra Credit Worksheet
PSYC2002C-007
A researcher wants to know whether TV time is related to amount of sharing for boys and girls. To test this, the researcher splits 24 boys and 24 girls into even groups to undergo conditions of no TV, 1 hour of TV, 2 hours of TV, and 3 hours of TV, then measures the number of times they shared toys or food with the other children in their group in an hour-long play-time afterwards.
The resulting data is shown below:
|
No TV |
1 Hour of TV |
2 Hours of TV |
3 Hours of TV |
|
|
Boys |
8 |
5 |
6 |
7 |
|
6 |
6 |
4 |
9 |
|
|
5 |
3 |
5 |
8 |
|
|
7 |
5 |
6 |
10 |
|
|
8 |
4 |
5 |
8 |
|
|
7 |
4 |
6 |
9 |
|
|
X̄ |
6.8 |
4.5 |
5.3 |
8.5 |
|
∑X |
41 |
27 |
32 |
51 |
|
∑X2 |
287 |
127 |
174 |
439 |
|
Girls |
6 |
3 |
3 |
3 |
|
5 |
4 |
2 |
3 |
|
|
5 |
5 |
2 |
2 |
|
|
6 |
5 |
1 |
1 |
|
|
7 |
5 |
4 |
2 |
|
|
5 |
3 |
4 |
3 |
|
|
X̄ |
5.6 |
4.1 |
2.7 |
2.3 |
|
∑X |
34 |
25 |
16 |
14 |
|
∑X2 |
196 |
109 |
50 |
36 |
State the IV’s and the DV: __________________________________________________
What is the factorial notation for the ANOVA? _________________________________
Complete the following table and show your work for Sum of Squares calculations below:
Hint: To find significance, find F-crit for each.
|
Source |
SS |
df |
MS |
F |
Significant? |
η2 |
|
Between Groups |
||||||
|
TV |
||||||
|
Gender |
||||||
|
Interaction |
||||||
|
Within Groups |
||||||
|
Total |
SStot =
SSbn =
SSTV =
SSgender =
SSinteraction =
SSwn =
Was there an interaction effect between the TV time and gender? If so, interpret this effect.
Was there a main effect for TV time? If so, interpret this effect.
Was there a main effect for gender? If so, interpret this effect.
What had the largest effect size? Highlight/bold one of the following:
TV time
Gender
Interaction between TV time and gender
In: Statistics and Probability
Following is information on two alternative investments being
considered by Jolee Company. The company requires a 8% return from
its investments. (PV of $1, FV of $1, PVA of $1, and FVA of $1)
(Use appropriate factor(s) from the tables
provided.)
| Project A | Project B | |||||||||
| Initial investment | $ | (189,325 | ) | $ | (159,960 | ) | ||||
| Expected net cash flows in: | ||||||||||
| Year 1 | 49,000 | 42,000 | ||||||||
| Year 2 | 41,000 | 51,000 | ||||||||
| Year 3 | 87,295 | 66,000 | ||||||||
| Year 4 | 81,400 | 77,000 | ||||||||
| Year 5 | 60,000 | 23,000 | ||||||||
a. For each alternative project compute the net
present value.
b. For each alternative project compute the
profitability index. If the company can only select one project,
which should it choose?
For each alternative project compute the net present value.
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In: Accounting