The general manager of Design Impression Company has proposed the purchase of one of two large six-colour presses designed for long, high-quality runs. The purchase of a new press would enable the firm to reduce its cost of labour and therefore the price to the clients, putting the firm in a more competitive position. The key financial characteristics of the existing press and the two prosed presses are summarised below. Old press: Originally purchased three years ago at an installed cost of $400,000, it is being depreciated using a straight-line method over a 10-year effective life. The old press has a remaining economic life of five years. It can be sold today to net $460,000 before taxes. If the old press is retained, it can be sold to net $150,000 before taxes at the end of five years. Press A: This highly automated press can be purchased for $830,000 plus $40,000 in installation costs. It will be depreciated using the straight-line method over a five-year effective life. At the end of the five years, the machine could be sold to net $400,000 before taxes. Press B: This press is not as sophisticated as press A. It costs $640,000 plus $20,000 in installation costs. It will be depreciated using the straight-line method over a five-year effective life. At the end of five years, it can be sold to net $330,000 before taxes. The firm estimates that its earnings before depreciation and taxes with the old press and with press A or press B for each of the five years will be as show in the table. Assume the firm is subject to a 30% tax rate on ordinary income and NZ tax rule applies on capital gain (capital gain is not taxed). The firm’s cost of capital applicable to the proposed replacement is 14%. Profit before depreciation and taxes for Design Impression Company’s presses Year Old press Press A Press B 1 $120,000 $250,000 $210,000 2 120,000 270,000 210,000 3 120,000 300,000 210,000 4 120,000 330,000 210,000 5 120,000 370,000 210,000 Recommend which, if either, of the presses the firm should acquire. You can write answer and reason directly on Excel spreadsheet.
In: Finance
In a location in outer space far from all other objects, a nucleus whose mass is 4.019480 × 10−25 kg and that is initially at rest undergoes spontaneous alpha decay. The original nucleus disappears, and two new particles appear: a He-4 nucleus of mass 6.640678 × 10−27 kg (an alpha particle consisting of two protons and two neutrons) and a new nucleus of mass 3.952926 × 10−25 kg. These new particles move far away from each other, because they repel each other electrically (both are positively charged). Because the calculations involve the small difference of (comparatively) large numbers, you need to keep seven significant figures in your calculations, and you need to use the more accurate value for the speed of light, 2.9979246e8 m/s. Choose all particles as the system. Initial state: Original nucleus, at rest. Final state: Alpha particle + new nucleus, far from each other.
Part 1 (a) What is the rest energy of the original nucleus? (Round your answer to seven significant figures.) J the tolerance is +/-2%
Part 2 (b) What is the sum of the rest energies of the alpha particle and the new nucleus? (Round your answer to seven significant figures.) J the tolerance is +/-2%
Part 3 (c) Did the portion of the total energy of the system contributed by rest energy increase or decrease? decrease The total rest energy is unchanged. increase
Part 4 (d) What is the sum of the kinetic energies of the alpha particle and the new nucleus?
In: Physics
Grunewald Industries sells on terms of 1/10, net 40. Gross sales last year were $4,416,500 and accounts receivable averaged $482,500. Half of Grunewald's customers paid on the 10th day and took discounts. What are the nominal and effective costs of trade credit to Grunewald's nondiscount customers? (Hint: Calculate daily sales based on a 365-day year, calculate the average receivables for discount customers, and then find the DSO for the nondiscount customers.) Do not round intermediate calculations. Round your answers to two decimal places!
In: Finance
A 155 gg mass attached to a horizontal spring oscillates at a frequency of 3.70 Hz . At t =0s, the mass is at x= 6.40 cmcm and has v =− 45.0 cm/s . Determine:
a)The maximum speed
b)The maximum acceleration.
c)The total energy.
d)The position at t= 4.80 s
In: Physics
A 145 g mass attached to a horizontal spring oscillates at a frequency of 5.50 Hz. At t = 0s, the mass is at x = 6.60 cm and has vx =− 35.0 cm/s.
Determine:
a) The maximum speed.
b) The maximum acceleration.
c) The total energy.
d) The position at t = 3.20 s.
In: Physics
|
Social networking is becoming more and more popular around the
world. Pew Research Center used a survey of adults in several
countries to determine the percentage of adults who use social
networking sites (USA Today, February 8, 2012). Assume
that the results for surveys in Great Britain, Israel, Russia and
United States are as follows.
a. Conduct a hypothesis test to determine whether the proportion of adults using social networking sites equal for all four countries. Using a .05 level of significance. Use Table 12.4.
Choose correct answer from above choice The p-value is - Select your answer -less than .01greater than .01Item 3 What is your conclusion? b. What are the sample proportions for each of the four countries? Round your answers to two decimal places.
Which country has the largest proportion of adults using social
networking sites? c. Using a .05 level of significance, conduct multiple pairwise comparison tests among the four countries. Round p i, p j and Diff to two decimal places. Round CV ij to four decimal places.
What is your conclusion? any help on this would be appriciated, kinda lost on how to do this |
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In: Advanced Math
The owner of a specialty coffee shop wants to study coffee
purchasing habits of customers at her shop. She selects
a random sample of 60 customers during a certain week. Data are
available in the worksheet labeled “Problem 2”
in the spreadsheet.
1. Construct a 90% confidence interval on the proportion of
customers who say they “definitely will”
recommend the specialty coffee shop to family and friends.
Problem 2 Data Set
Note: Y is an indicator variable, i.e., if Y=1, then customer said they "definitely would" recommend specialty shop to family and friends, and Y=0 otherwise.
| Customer | Y |
| 1 | 0 |
| 2 | 1 |
| 3 | 0 |
| 4 | 0 |
| 5 | 0 |
| 6 | 0 |
| 7 | 0 |
| 8 | 1 |
| 9 | 1 |
| 10 | 1 |
| 11 | 0 |
| 12 | 1 |
| 13 | 0 |
| 14 | 1 |
| 15 | 0 |
| 16 | 1 |
| 17 | 1 |
| 18 | 1 |
| 19 | 0 |
| 20 | 1 |
| 21 | 1 |
| 22 | 0 |
| 23 | 0 |
| 24 | 0 |
| 25 | 0 |
| 26 | 1 |
| 27 | 0 |
| 28 | 0 |
| 29 | 1 |
| 30 | 0 |
| 31 | 1 |
| 32 | 1 |
| 33 | 0 |
| 34 | 0 |
| 35 | 0 |
| 36 | 1 |
| 37 | 0 |
| 38 | 1 |
| 39 | 1 |
| 40 | 1 |
| 41 | 1 |
| 42 | 0 |
| 43 | 1 |
| 44 | 0 |
| 45 | 1 |
| 46 | 0 |
| 47 | 1 |
| 48 | 0 |
| 49 | 0 |
| 50 | 0 |
| 51 | 1 |
| 52 | 1 |
| 53 | 1 |
| 54 | 0 |
| 55 | 1 |
| 56 | 0 |
| 57 | 0 |
| 58 | 0 |
| 59 | 1 |
| 60 | 1 |
In: Statistics and Probability
Need Chi-Square Test for Independence to determine if eating healthy and exercising reduces diastolic blood pressure.
|
Day |
BP Diastolic |
Ate Healthy and Exercised |
|
1 |
85 |
N |
|
2 |
109 |
N |
|
3 |
96 |
N |
|
4 |
92 |
N |
|
5 |
99 |
N |
|
6 |
98 |
N |
|
7 |
102 |
Y |
|
8 |
93 |
N |
|
9 |
90 |
Y |
|
10 |
84 |
N |
|
11 |
90 |
N |
|
12 |
86 |
N |
|
13 |
81 |
N |
|
14 |
77 |
Y |
|
15 |
90 |
Y |
|
16 |
86 |
Y |
|
17 |
83 |
N |
|
18 |
80 |
Y |
|
19 |
78 |
N |
|
20 |
74 |
Y |
|
21 |
72 |
Y |
|
22 |
79 |
Y |
|
23 |
84 |
Y |
|
24 |
91 |
Y |
|
25 |
85 |
Y |
|
26 |
77 |
Y |
|
27 |
78 |
Y |
|
28 |
81 |
N |
|
29 |
88 |
Y |
|
30 |
85 |
Y |
|
31 |
77 |
Y |
|
32 |
74 |
Y |
|
33 |
72 |
Y |
|
34 |
77 |
N |
|
35 |
80 |
Y |
|
36 |
81 |
Y |
|
37 |
76 |
Y |
|
38 |
78 |
Y |
|
39 |
72 |
Y |
|
40 |
73 |
Y |
|
41 |
72 |
Y |
|
42 |
79 |
Y |
|
43 |
80 |
Y |
|
44 |
84 |
Y |
|
45 |
81 |
Y |
|
46 |
78 |
Y |
|
47 |
71 |
Y |
|
48 |
73 |
Y |
|
49 |
76 |
Y |
|
50 |
75 |
Y |
|
51 |
76 |
N |
|
52 |
81 |
Y |
|
53 |
78 |
N |
|
54 |
75 |
Y |
|
55 |
77 |
Y |
|
56 |
76 |
Y |
In: Statistics and Probability
| Subject | BMI | Percent Fat |
| 1 | 21.95 | 28.70 |
| 2 | 27.75 | 32.30 |
| 3 | 25.09 | 25.80 |
| 4 | 19.23 | 19.60 |
| 5 | 19.60 | 22.40 |
| 6 | 20.31 | 26.40 |
| 7 | 22.29 | 32.70 |
| 8 | 28.65 | 33.50 |
| 9 | 19.47 | 23.40 |
| 10 | 21.44 | 21.80 |
| 11 | 26.85 | 37.10 |
| 12 | 21.85 | 30.90 |
| 13 | 23.90 | 36.30 |
| 14 | 21.54 | 29.80 |
| 15 | 22.61 | 31.90 |
| 16 | 18.91 | 21.60 |
| 17 | 18.46 | 24.60 |
| 18 | 17.05 | 20.50 |
| 19 | 17.70 | 24.60 |
| 20 | 16.61 | 18.10 |
| 21 | 16.94 | 22.90 |
| 22 | 18.77 | 26.20 |
| 23 | 18.39 | 27.20 |
| 24 | 17.86 | 17.70 |
| 25 | 17.98 | 20.80 |
| 26 | 15.37 | 17.50 |
| 27 | 18.84 | 21.30 |
| 28 | 15.82 | 18.70 |
| 29 | 17.71 | 28.80 |
| 30 | 14.99 | 17.10 |
| 31 | 16.75 | 26.20 |
| 32 | 16.46 | 20.40 |
| 33 | 15.87 | 19.50 |
| 34 | 18.08 | 21.70 |
| 35 | 15.58 | 18.10 |
| 36 | 17.15 | 29.80 |
| 37 | 15.82 | 20.60 |
| 38 | 18.61 | 22.90 |
| 39 | 16.66 | 19.30 |
| 40 | 20.83 | 27.90 |
| 41 | 24.56 | 36.40 |
| 42 | 20.19 | 25.10 |
| 43 | 24.13 | 39.70 |
| 44 | 20.86 | 33.60 |
| 45 | 33.57 | 46.80 |
| 46 | 29.14 | 38.90 |
| 47 | 26.17 | 36.70 |
| 48 | 31.46 | 38.50 |
| 49 | 19.08 | 23.30 |
| 50 | 23.54 | 35.90 |
Perform a regression analysis to see if body fat percentage is a good predictor of BMI. Use Excel or statistical software and be sure to include the following:
a) A scatterplot.
b) A correlation measure r.
c) The graph of the regression line on the scatterplot
d) The regression equation.
e) A discussion that explains how well body fat works as a
predictor of BMI
In: Statistics and Probability
A farmer focusing on the production of eco-friendly chicken eggs collects the following data about his output. In a sample of 50 eggs, the farmer finds the average egg to weigh 47 grams. The standard deviation of the egg weight is 2 grams and the distribution of weights resembles a normal distribution reasonably closely. The farmer can sell the eggs to a local distributor. However, they have to be in the interval between 44 grams and 50 grams (i.e., the lower specification limit is 44 grams and the upper specification limit is 50 grams). What is the capability score of the eco-friendly chicken egg operation? What percentage of the produced eggs fall within the specification limits provided by the local distributor? By how much would the farmer have to reduce the standard deviation of the operation if his goal were to obtain a capability score of Cp=2/3 (i.e., get 4.5% defects)?
In: Operations Management