Ms. Blavatsky is proposing to form a new start-up firm. She can invest her money in one of two projects:
(i) a relatively safe project that offers a 40% chance of a $12.5 million payoff and a 60% chance of an $8 million payoff; and
(ii) a risky project that offers a 40% chance of a $20 million payoff and a 60% chance of a $5 million payoff. Ms. Blavatsky initially proposes to finance the firm by an issue of straight debt with a promised payoff of $7 million. Ms. Blavatsky will receive any remaining payoff.
(a) Show the possible payoffs to the lender and to Ms. Blavatsky if
(i) she chooses the safe project and (ii) she chooses the risky
project. Which project is Ms. Blavatsky likely to choose? Which
will the lender want her to choose?
(b) Suppose now that Ms. Blavatsky offers to make debt convertible into 50% of the value of the firm. Show that in this case the lender receives the same expected payoff from the two projects.
In: Finance
a) Plot the regression line from the full data set on the on the scatter plot. The regression equation is: Wins = 24.5 + 0.08Runs, mark it “ALL SEASONS”
b) Plot the regression line from data set without the partial seasons on the on the scatter plot. The regression equation is: Wins = 43.3 + 0.05RUNS, mark it “ONLY FULL SEASON”. Do the partial seasons seem to be influential? Explain.
c) Using the linear regression model for “ALL GAMES” in the Red Socks data, Wins = 24.5+ 0.08 Runs. Consider the data for the year 2004, (Runs = 949, Wins = 98) Calculate the residual for this year.
d) The coefficient of determination = 67.2% for the Red Socks data. Find the linear correlation coefficient. Round your answer to 2 decimal places.
|
YEAR |
GAMES PLAYED |
RUNS |
WINS |
|
2009 |
162 |
872 |
95 |
|
2008 |
162 |
845 |
95 |
|
2007 |
162 |
867 |
96 |
|
2006 |
162 |
820 |
86 |
|
2005 |
162 |
910 |
95 |
|
2004 |
162 |
949 |
98 |
|
2003 |
162 |
961 |
95 |
|
2002 |
162 |
859 |
93 |
|
2001 |
161 |
772 |
82 |
|
2000 |
162 |
792 |
85 |
|
1999 |
162 |
836 |
94 |
|
1998 |
162 |
876 |
92 |
|
1997 |
162 |
851 |
78 |
|
1996 |
162 |
928 |
85 |
|
1995* |
144 |
791 |
86 |
|
1994* |
115 |
552 |
54 |
|
1993 |
162 |
686 |
80 |
|
1992 |
162 |
599 |
73 |
|
1991 |
162 |
731 |
84 |
|
1990 |
162 |
699 |
88 |
In: Statistics and Probability
Given the matrix A (2x2 matrix taking the first two column vectors from the input file), compute the followings. Λ: the diagonal matrix whose diagonal elements are the corresponding eignevalues Λii = λi for i=1,2 R: the 2x2 matrix whose ith column vector is the eigenvector corresponding to λi for i=1,2 RΛRT: the matrix compositions 1/0: the comparison between A and RΛRT (is A= RΛRT?) Your output should have seven lines where the first two lines correspond to the 2x2 matrix of Λ, the next two lines is R, and the last two lines is the output matrix of RΛRT, and the last line is one binary number corresponding to yes (1) or no (0). The first six lines have two numbers per line, while the last line has one binary number. The output should contain numbers with up to four significant digits. If there is one real eigenvalue (λ1=λ2), then the two column vectors for R are the same, and your output should be of the aforementioned format. If there are no real eigenvalues, your output should be a single line printing "No real eigenvalues".
Input format (2x3 matrix):
n11 n12 n13
n21 n22 n23
In python please
In: Computer Science
This extra credit covers Chapter 8 specifically notes payable and warranty costs.
Joel runs a repair shop. He warrants select products against manufacturer defects. Joel estimates that warranty expenses will be 5% of sales. During the year 2013, Joel had sales of 3,507,000. Warranty payments were 350,000 and accrued warranty expense from 2012 were 350,000. (6 points )
Using the data above answer the following:
What is warranty expense for 2013
What is the ending balance in the warranty liability account at 12/31/2013
Journalize the warranty expense and payments for 2013.
|
|
|
POST. |
|
|
||
Roberts Corp. Borrowed 35000 from Midland Bank. The note was 6%, 9 months and was issued on March 1, 2012. Roberts has a December year end. ( 6 points)
Using the data above record the following
Record the issuance of the note on 3/1
Record the year end adjustment
Record the payment of the note at maturity
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POST. |
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In: Accounting
Q, A seperate excited de generator runs at 150 rad/sec with flux density o.2 Tesla gives aterminal VoHag, of 200 Volt at no-lond. Find the terminal voltigi: (a) when the speed changes to lo00 RPM ? (b) The Speed iskeptat i50 rad/sec, but the field increnses by 20 % (C) The Speed is increased by 10% and the field increases by 15% Id) The genermtor is londed by 1o Ampur and its armature resistance is o .7 2 neglecting armature reaction
Q, A seperate excited de generator runs at 150 rad/sec with flux density o.2 Tesla gives aterminal VoHag, of 200 Volt at no-lond. Find the terminal voltigi: (a) when the speed changes to lo00 RPM ? (b) The Speed iskeptat i50 rad/sec, but the field increnses by 20 % (C) The Speed is increased by 10% and the field increases by 15% Id) The genermtor is londed by 1o Ampur and its armature resistance is o .7 2 neglecting armature reaction
In: Electrical Engineering
Depreciation expense. Richardses' Tree Farm, Inc. has just purchased a new aerial tree trimmer for $91 comma 000. Calculate the depreciation schedule using a seven-year life (for the property class category of a single-purpose agricultural and horticultural structure from Table 10.3) for both straight-line depreciation and MACRS, LOADING.... Use the half-year convention for both methods. Compare the depreciation schedules before and after taxes using a 40% tax rate. What do you notice about the difference between these two methods? Using a seven-year life, straight-line depreciation, and the half-year convention for the first and last years, what is the annual depreciation of the trimmer?
In: Finance
|
Q |
P |
TR=P×Q |
MR=ΔTR/ΔQ |
TC |
MC=ΔTC/ΔQ |
π |
Mπ=Δπ/ΔQ |
|
0 |
$160 |
$0 |
0 |
$0 |
0 |
$0 |
0 |
|
1 |
150 |
150 |
150 |
25 |
25 |
125 |
125 |
|
2 |
140 |
280 |
130 |
55 |
30 |
225 |
100 |
|
3 |
130 |
390 |
110 |
90 |
35 |
300 |
75 |
|
4 |
120 |
480 |
90 |
130 |
40 |
350 |
50 |
|
5 |
110 |
550 |
70 |
175 |
45 |
375 |
25 |
|
6 |
100 |
600 |
50 |
230 |
55 |
370 |
5 |
|
7 |
90 |
630 |
30 |
290 |
60 |
340 |
-30 |
|
8 |
80 |
640 |
10 |
355 |
65 |
285 |
-55 |
|
9 |
70 |
630 |
-10 |
430 |
75 |
200 |
-85 |
|
10 |
60 |
600 |
-30 |
525 |
95 |
75 |
-125 |
Graph the firm’s demand curve and marginal revenue curve.
Graph the firm’s total cost curve, total revenue curve, and total profit curve.
In: Economics
There is a tree in the middle of your front yard and you take pictures of a squirrel as it runs around the tree. When you take the first picture, the squirrel is 12.0 m away from the tree in the direction 30.0◦ N of E. Twenty seconds later, you take a second picture of the squirrel when it is 7.50 m away from the tree in the direction 15.0◦ E of S. What is the magnitude and direction of the average velocity of the squirrel between the two pictures?
In: Physics
create an executable bash runtests.sh as follows:
In: Computer Science
A behavioral psychologist wanted to know if making a public commitment to lose weight will make a difference in how much weight is actually lost. He obtained 14 volunteers who wanted to lose weight and randomly assigned them to one of two groups. The “commitment” group met together and each participant stood and announced an intent to lose weight and signed a pledge to adhere to the diet and exercise regimen. The “control” was placed on the same diet and exercise regimen, but did not stand to announce their intent to lose weight and did not sign a pledge to adhere to the regimen. The commitment group participants lost 13, 11, 13, 12, 10, 9,and 8 pounds; the control group participants lost 10, 6, 7, 5, 9, 6, and 8 pounds. Did making a commitment to adhere to the diet and exercise regimen make a significant difference in weight loss?
In: Statistics and Probability