7- List two most desired properties for following engineered components:
Blade for industrial scale on-shore wind turbine
Vertical mount of industrial scale off-shore wind turbine
Gear teeth used in wind turbine driver
Text Book- The Science and Engineering of Materials, Askeland et al. (seven edition
Home Work- # 6 for Chapter 6
please type your answe in the computer
In: Mechanical Engineering
|
suppose General Supplies (Company) has 8 million shares of common stock outstanding. The current share price is $57, and the book value per share is $5. The company also has two bond issues outstanding. The first bond issue has a face value of $70.8 million and a coupon rate of 7 percent and sells for 107 percent of par. The second issue has a face value of $60 million and a coupon rate of 7 percent and sells for 109 percent of par. The first issue matures in 9 years, the second in 26 years. |
|
Suppose the company’s stock has a beta of 1.3. The risk-free rate is 3 percent, and the market risk premium is 7 percent. Assume that the overall cost of debt is the weighted average implied by the two outstanding debt issues. Both bonds make semiannual payments. The tax rate is 40 percent. What is the company’s WACC? |
In: Finance
Company X has 8 million shares of common stock outstanding. The current share price is $57, and the book value per share is $5. The company also has two bond issues outstanding. The first bond issue has a face value of $70.8 million and a coupon rate of 7 percent and sells for 107 percent of par. The second issue has a face value of $60 million and a coupon rate of 7 percent and sells for 109 percent of par. The first issue matures in 9 years, the second in 26 years. Suppose the company’s stock has a beta of 1.3. The risk-free rate is 3 percent, and the market risk premium is 7 percent. Assume that the overall cost of debt is the weighted average implied by the two outstanding debt issues. Both bonds make semiannual payments. The tax rate is 40 percent. What is the company’s WACC? (9 points)
In: Finance
Using PROC FORMAT and PROC FREQ for following data:
(a) Define an appropriate format for the gender variable.
(b) Produce a 2 X 2 table with gender as the rows and lenses as the columns.
(c) Calculate the relative risk and provide a one sentence written interpretation explicitly stating which groups are being compared and defining the outcome.
(d) Perform a chi-squared test of association between gender and needing contact lenses. What are the results of the test (i.e. do you reject the hypothesis?)
|
Obs |
id |
carrot |
gender |
latitude |
lenses |
|
1 |
1 |
0 |
1 |
33 |
1 |
|
2 |
2 |
0 |
2 |
46 |
1 |
|
3 |
3 |
1 |
1 |
32 |
1 |
|
4 |
4 |
0 |
2 |
26 |
0 |
|
5 |
5 |
1 |
1 |
25 |
1 |
|
6 |
6 |
1 |
2 |
48 |
0 |
|
7 |
7 |
0 |
1 |
39 |
1 |
|
8 |
8 |
0 |
2 |
24 |
0 |
|
9 |
9 |
0 |
1 |
35 |
0 |
|
10 |
10 |
0 |
1 |
42 |
1 |
|
11 |
11 |
1 |
1 |
35 |
0 |
|
12 |
12 |
0 |
2 |
44 |
0 |
|
13 |
13 |
1 |
1 |
35 |
1 |
|
14 |
14 |
1 |
1 |
25 |
0 |
|
15 |
15 |
1 |
1 |
24 |
0 |
|
16 |
16 |
1 |
1 |
38 |
0 |
|
17 |
17 |
1 |
1 |
28 |
1 |
|
18 |
18 |
0 |
1 |
43 |
0 |
|
19 |
19 |
1 |
1 |
44 |
0 |
|
20 |
20 |
0 |
1 |
46 |
1 |
|
21 |
21 |
0 |
1 |
37 |
1 |
|
22 |
22 |
0 |
2 |
33 |
0 |
|
23 |
23 |
0 |
2 |
42 |
1 |
|
24 |
24 |
1 |
2 |
31 |
1 |
|
25 |
25 |
0 |
2 |
46 |
1 |
|
26 |
26 |
0 |
1 |
32 |
1 |
|
27 |
27 |
0 |
2 |
30 |
0 |
|
28 |
28 |
0 |
2 |
27 |
1 |
|
29 |
29 |
1 |
1 |
45 |
0 |
|
30 |
30 |
1 |
1 |
39 |
0 |
|
31 |
31 |
0 |
2 |
47 |
1 |
|
32 |
32 |
1 |
1 |
39 |
0 |
|
33 |
33 |
1 |
1 |
48 |
1 |
|
34 |
34 |
0 |
1 |
47 |
0 |
|
35 |
35 |
0 |
1 |
32 |
0 |
|
36 |
36 |
0 |
1 |
31 |
0 |
|
37 |
37 |
1 |
2 |
26 |
1 |
|
38 |
38 |
0 |
2 |
28 |
1 |
|
39 |
39 |
0 |
1 |
25 |
1 |
|
40 |
40 |
1 |
2 |
25 |
0 |
|
41 |
41 |
1 |
1 |
31 |
0 |
|
42 |
42 |
1 |
2 |
47 |
1 |
|
43 |
43 |
1 |
1 |
32 |
1 |
|
44 |
44 |
1 |
2 |
24 |
1 |
|
45 |
45 |
1 |
2 |
37 |
0 |
|
46 |
46 |
1 |
2 |
26 |
0 |
|
47 |
47 |
0 |
2 |
41 |
1 |
|
48 |
48 |
0 |
2 |
43 |
1 |
|
49 |
49 |
0 |
1 |
45 |
1 |
|
50 |
50 |
0 |
1 |
27 |
1 |
|
51 |
51 |
1 |
1 |
31 |
0 |
|
52 |
52 |
0 |
2 |
40 |
0 |
|
53 |
53 |
0 |
2 |
37 |
0 |
|
54 |
54 |
1 |
2 |
48 |
0 |
|
55 |
55 |
0 |
2 |
26 |
0 |
|
56 |
56 |
0 |
2 |
33 |
1 |
|
57 |
57 |
0 |
1 |
48 |
1 |
|
58 |
58 |
1 |
2 |
24 |
1 |
|
59 |
59 |
0 |
1 |
32 |
1 |
|
60 |
60 |
1 |
1 |
40 |
1 |
|
61 |
61 |
0 |
2 |
45 |
0 |
|
62 |
62 |
1 |
1 |
40 |
0 |
|
63 |
63 |
0 |
1 |
36 |
1 |
|
64 |
64 |
0 |
2 |
42 |
0 |
|
65 |
65 |
1 |
2 |
44 |
0 |
|
66 |
66 |
0 |
1 |
44 |
1 |
|
67 |
67 |
1 |
2 |
47 |
0 |
|
68 |
68 |
1 |
2 |
27 |
1 |
|
69 |
69 |
1 |
1 |
33 |
1 |
|
70 |
70 |
0 |
1 |
29 |
1 |
|
71 |
71 |
0 |
1 |
42 |
0 |
|
72 |
72 |
1 |
1 |
40 |
0 |
|
73 |
73 |
0 |
2 |
44 |
1 |
|
74 |
74 |
1 |
2 |
41 |
0 |
|
75 |
75 |
1 |
2 |
26 |
1 |
|
76 |
76 |
1 |
2 |
27 |
0 |
|
77 |
77 |
0 |
2 |
29 |
1 |
|
78 |
78 |
0 |
1 |
33 |
1 |
|
79 |
79 |
1 |
2 |
31 |
1 |
|
80 |
80 |
1 |
2 |
33 |
0 |
|
81 |
81 |
1 |
1 |
43 |
1 |
|
82 |
82 |
1 |
2 |
33 |
1 |
|
83 |
83 |
0 |
2 |
43 |
1 |
|
84 |
84 |
0 |
1 |
39 |
1 |
|
85 |
85 |
1 |
2 |
47 |
0 |
|
86 |
86 |
1 |
1 |
46 |
1 |
|
87 |
87 |
1 |
2 |
27 |
0 |
|
88 |
88 |
1 |
2 |
38 |
0 |
|
89 |
89 |
1 |
1 |
34 |
0 |
|
90 |
90 |
1 |
1 |
40 |
0 |
|
91 |
91 |
1 |
1 |
27 |
1 |
|
92 |
92 |
0 |
1 |
29 |
1 |
|
93 |
93 |
1 |
1 |
43 |
1 |
|
94 |
94 |
0 |
1 |
40 |
0 |
|
95 |
95 |
1 |
1 |
31 |
0 |
|
96 |
96 |
1 |
2 |
38 |
0 |
|
97 |
97 |
0 |
2 |
30 |
1 |
|
98 |
98 |
1 |
2 |
26 |
0 |
|
99 |
99 |
0 |
1 |
43 |
1 |
|
100 |
100 |
0 |
2 |
33 |
1 |
In: Statistics and Probability
5. (17 pts) Pagano: chapter 6, question 22. Here it is:
A social psychologist conducts a study to determine the relationship
between religion and self-esteem. Ten eighth graders are randomly
selected for the study. Each individual undergoes two tests, one measuring
self-esteem and the other religious involvement. For the self-esteem test, the
lower the score, the higher self-esteem is; for the test measuring
religious involvement, the higher the score, the higher religious involve-
ment is. The self-esteem test has a range from 1 to 10, and the religious
involvement test ranges from 0 to 50. For the purposes of this question,
assume both tests are well standardized and of interval scaling.
The following data are collected (see numbers to the left):
|
Subject |
Religious Involvement |
Self-Esteem |
|
1 |
5 |
8 |
|
2 |
25 |
3 |
|
3 |
45 |
2 |
|
4 |
20 |
7 |
|
5 |
30 |
5 |
|
6 |
40 |
5 |
|
7 |
1 |
4 |
|
8 |
15 |
4 |
|
9 |
10 |
7 |
|
10 |
35 |
3 |
Answer the following questions:
A. If a relationship exists such that the more religiously involved one is, the higher actual self-esteem is, would you expect r computed on the provided values to be negative or positive? (Choose one.)
B. Create an SPSS file for these data and use it to calculate the Pearson correlation coefficient. Report the value of r. Also, given the way that the variables were measured, what does the direction of the effect (the positive or negative sign of r) tell you about whether higher self-esteem is associated with higher religious involvement or lower religious involvement? (Choose one.)
C. In SPSS, use religious involvement (the IV) to predict self-esteem (the DV). What proportion of variability in self-esteem is explained by variability in religious involvement?
D. Write the equation to predict self-esteem from religious involvement. Make the equation as detailed as you can (variable names, number for the coefficients).
E. Use the equation to predict the self-esteem of a person who had a religious involvement score of 27. Show your work.
In: Statistics and Probability
The personnel office at a large electronics firm regularly schedules job interviews and maintains records of the interviews. From the past records, they have found that the length of a first interview is normally distributed, with mean μ = 36 minutes and standard deviation σ = 4 minutes. (Round your answers to four decimal places.)
(a) What is the probability that a first interview will last 40 minutes or longer?
(b) Two first interviews are usually scheduled per day. What is the probability that the average length of time for the two interviews will be 40 minutes or longer?
In: Statistics and Probability
the personnel office at a large Electronics firm
regularly scheduled job interviews and maintains records of the
interviews. From the past records, they have found that the length
of a first interview is normally distributed, with mean equals 34
minutes and standard deviation equals 5 minutes. round your answers
to four decimal places
a) what is the probability that a first interview will last 40
minutes or longer?
b) Two first interviews are usually scheduled per day, what is the
probability that the average length of time for the two interviews
will be 40 minutes or longer?
In: Statistics and Probability
The personnel office at a large electronics firm regularly schedules job interviews and maintains records of the interviews. From the past records, they have found that the length of a first interview is normally distributed, with mean μ = 37 minutes and standard deviation σ = 6 minutes. (Round your answers to four decimal places.)
(a) What is the probability that a first interview will last 40
minutes or longer?
(b) Two first interviews are usually scheduled per day. What is the
probability that the average length of time for the two interviews
will be 40 minutes or longer?
In: Math
1). Calculate the specific correlation coefficient for this data. What does rxy = ? You can use the table on the last page for your calculations (This is the tough one).
2). Does there appear to be a correlation between these two variables? If yes, in what direction (positive or negative)?
3). What are three possible explanations for this correlational relationship? (Note – These can include “third variable” explanations).
|
Subject # |
X |
Y |
X2 |
Y2 |
XY |
|
1 |
0 |
9 |
0 |
81 |
0 |
|
2 |
0 |
7 |
0 |
49 |
0 |
|
3 |
1 |
6 |
1 |
36 |
6 |
|
4 |
1 |
7 |
1 |
49 |
7 |
|
5 |
1 |
8 |
1 |
64 |
8 |
|
6 |
2 |
5 |
4 |
25 |
10 |
|
7 |
2 |
6 |
4 |
36 |
12 |
|
8 |
2 |
7 |
4 |
49 |
14 |
|
9 |
3 |
3 |
9 |
9 |
9 |
|
10 |
3 |
4 |
9 |
16 |
12 |
|
11 |
3 |
5 |
9 |
25 |
15 |
|
12 |
4 |
3 |
16 |
9 |
12 |
|
13 |
4 |
4 |
16 |
16 |
16 |
|
14 |
5 |
3 |
25 |
9 |
15 |
|
15 |
5 |
4 |
25 |
16 |
20 |
|
16 |
5 |
5 |
25 |
25 |
25 |
|
17 |
6 |
5 |
36 |
25 |
30 |
|
18 |
7 |
4 |
49 |
16 |
28 |
|
19 |
8 |
4 |
64 |
16 |
32 |
|
20 |
9 |
3 |
81 |
9 |
27 |
|
Σ (Sum) |
71 |
102 |
379 |
580 |
298 |
In: Statistics and Probability
39. Tech is playing State in the last conference game of the season. Tech is trailing State 21 to 14 with 7 seconds left in the game, when they score a touchdown. Still trailing 21 to 20, Tech can either go for two points and win or go for one point to send the game into overtime. The conference championship will be determined by the outcome of this game. If Tech wins they will go to the Sugar Bowl, with a payoff of $9.2 million; if they lose they will go to the Gator Bowl, with a payoff of $1.5 million. If Tech goes for two points there is a 30% chance they will be successful and win (and a 70% chance they will fail and lose). If they go for one point there is a .98 probability of success and a tie and a .02 probability of failure. If they tie they will play overtime, in which Tech believes they have only a 20% chance of winning because of fatigue. a. Use decision-tree analysis to determine if Tech should go for one point or two points. b. What would Tech’s probability of winning the game in overtime have to be to make Tech indiff erent between going for one point or two points?
In: Economics