The following table shows the information for a sample of 50
companies in the primary
industry. The variable Sector indicates the sector in which the
company is operating and
the variable Company size indicates the size of the company in
terms of its annual turnover.
Sector Company size Sector Company size
1. Fishing Large 26. Fishing Medium
2. Fishing Medium 27. Fishing Large
3. Agriculture Medium 28. Fishing Medium
4. Fishing Large 29. Fishing Medium
5. Agriculture Medium 30. Agriculture Small
6. Fishing Large 31. Agriculture Large
7. Agriculture Small 32. Fishing Medium
8. Mining Large 33. Fishing Large
9. Mining Small 34. Fishing Large
10. Mining Large 35. Agriculture Medium
11. Agriculture Medium 36. Agriculture Large
12. Agriculture Medium 37. Agriculture Medium
13. Mining Large 38. Mining Large
14. Agriculture Small 39. Fishing Small
15. Fishing Medium 40. Agriculture Medium
16. Fishing Large 41. Mining Small
17. Agriculture Medium 42. Mining Medium
18. Fishing Medium 43. Agriculture Medium
19. Mining Medium 44. Mining Large
20. Fishing Medium 45. Fishing Large
21. Fishing Small 46. Mining Small
22. Mining Small 47. Mining Medium
23. Agriculture Small 48. Agriculture Medium
24. Mining Large 49. Mining Large
25. Agriculture Small 50. Mining Large
Use the information in the table above to answer the following
questions.
a) For each of the two random variables, state whether it is a
qualitative or
quantitative variable.
b) For each of the two random variables, state the scale of
measurement.
c) Construct a cross tabulation table between Sector (rows) and
Company size
(columns).
d) What is the probability that a randomly selected company is a
large company?
e) What is the probability that a randomly selected company operate
in the fishing
sector?
f) What is the probability that a randomly selected company is a
medium size and it
operates in the agriculture sector?
g) What is the probability that a randomly selected company is
either a small company
or a mining sector company or both?
h) What is the probability that a randomly selected company is
either a small company
or a large company or both?
i) What is the probability that a randomly selected company is a
small and large
company?
j) What is the probability that a randomly selected company is not
a fishing sector
company?
k) What is the probability that a randomly selected company is not
a medium size
company?
l) What is the probability that a randomly selected company is a
mining sector
company if it is known that the company is a medium sized
company?
m) If it is known that a company operate in the mining sector, what
is the probability
that it is a medium size company?
n) Is company size statistically independent of sector in which the
company operate?
Motivate.
o) If we define A = event company small and B = event company is
large; are the events
A and B mutually exclusive? Motivate.
In: Statistics and Probability
List THREE communication techniques with children.
2. Name FOUR habits to explore during health interview.
3. List FOUR clinical manifestations of failure to thrive.
4. List FOUR guidelines for assessing toilet training readiness.
5. What are the warning signs of Abuse. Name FOUR warning signs.
6. Name THREE characteristics of attention deficit hyperactivity disorder.
7. List FOUR recommended behaviors for preventing obesity.
8. Name TWO guidelines for assessing coping behaviors and give TWO examples of each coping behavior.
9. List TWO clinical manifestations of hearing impairment in Infants and TWO in Children.
10. Name FOUR bill of rights for children and teens in the hospital.
In: Nursing
It contains information on a two factor experiment involving two types of laundry detergent (Super and Best) and three washing temperatures (cold, warm and hot). The numbers given represent the quantity of dirt removed in each wash. Use Excel to conduct a two-factor ANOVA experiment to determine if differences exist in either the type of detergent or the washing temperature. Also determine if differences exist with respect to the interaction of the two factors. Use α = 0.05.
| Cold | Warm | Hot | |
| Super | 4 | 7 | 10 |
| 5 | 9 | 12 | |
| 6 | 8 | 11 | |
| 5 | 12 | 9 | |
| Best | 6 | 13 | 12 |
| 6 | 15 | 13 | |
| 4 | 12 | 10 | |
| 4 | 12 | 13 |
In: Statistics and Probability
List THREE communication techniques with children.
2. Name FOUR habits to explore during health interview.
3. List FOUR clinical manifestations of failure to thrive.
4. List FOUR guidelines for assessing toilet training readiness.
5. What are the warning signs of Abuse. Name FOUR warning signs.
6. Name THREE characteristics of attention deficit hyperactivity disorder.
7. List FOUR recommended behaviors for preventing obesity.
8. Name TWO guidelines for assessing coping behaviors and give TWO examples of each coping behavior.
9. List TWO clinical manifestations of hearing impairment in Infants and TWO in Children.
10. Name FOUR bill of rights for children and teens in the hospital.
In: Nursing
Create one 90%, one 95%, and one 99.7% confidence interval for the question:
Last night did you get at least 8 hours of sleep?
Yes: 11
No: 48
Total: 59
In: Statistics and Probability
Look at the following demand and supply schedules for the new Pepsi product just being introduced. We will assume that the units are case lots bought by an individual family within the first six months of introduction.
| price | quantity demanded | quantity supplied |
| 10 | 10 | 50 |
| 8 | 20 | 40 |
| 6 | 30 | 30 |
| 4 | 40 | 20 |
| 2 | 50 | 10 |
1. If the price of Crystal Pepsi were $2.00 per case, how many cases would be offered for sale?
2. If the price of Crystal Pepsi were $2.00 per case, how many cases would people be willing to buy?
3. How many cases would actually be traded (go through the market) if the price were left at this $2.00 level?
4. Would this constitute a surplus or a shortage?
5. How much of a surplus or shortage would there be?
6. If the market process were allowed to work, what would you expect to happen to the price of Crystal Pepsi?
7. If the price of Crystal Pepsi rose to $8.00 per case, how many cases would be offered for sale?
8. If the price of Crystal Pepsi rose to $8.00 per case, how many cases would be demanded by families.
9. If the price remained at $8.00 per case, how many cases would actually be traded (go through the market)
10. Would this constitute a surplus or a shortage?
11. How much of a surplus or shortage would there be?
12. If the market process were allowed to work, what would you expect to happen to the price of Crystal Pepsi?
In: Economics
Tom Scott is the owner, president, and primary salesperson for
Scott Manufacturing. Because of this, the company's profits are
driven by the amount of work Tom does. If he works 40 hours each
week, the company's EBIT will be $635,000 per year; if he works a
50-hour week, the company's EBIT will be $795,000 per year. The
company is currently worth $4.05 million. The company needs a cash
infusion of $2.15 million, and it can issue equity or issue debt
with an interest rate of 7 percent. Assume there are no corporate
taxes.
a. What are the cash flows to Tom under each
scenario? (Enter your answers in dollars, not millions of
dollars, e.g. 1,234,567. Do not round intermediate
calculations.)
Scenario-1
Debt issue:
| Cash flows | |
| 40-hour week | $ |
| 50-hour week | $ |
Scenario-2
Equity issue:
| Cash flows | |
| 40-hour week | $ |
| 50-hour week | $ |
b. Under which form of financing is Tom likely to
work harder?
Debt issue
Equity issue
In: Finance
8. On May 1, 2012, Marly Co. issued $500,000 of 7% bonds at 103, which are due on April 30, 2022. Twenty detachable stock warrants entitling the holder to purchase for $40 one share of Marly’s ordinary shares $15 par value, were attached to each $1,000 bond. The bonds without the warrants would sell at 96. On May 1, 2012, the fair value of Marly’s shares was $35 per share and of the warrants was $2.
On May 1, 2012, Marly should record bonds payable at
In: Accounting
1a For the following degrees of freedom, list the critical values for a two-tailed test at a .01, .05, and .10 level of significance.
.01 .05 .10
df = 8 ___ ___ ___
df = 20 ___ ___ ___
df = 40 ___ ___ ___
df = 120 ___ ___ ___
b. As the level of significance increases (from .01 to .10), does the critical value increase or decrease?
c. As the degrees of freedom increase (from 8 to 120), does the critical value increase or decrease?
d. How is this related to power? Hint: If you are having trouble, refer to Sections 8.8 and 8.9 in Chapter 8 for a review of factors that influence power.
In: Statistics and Probability
You first need to compute the demand function associated with the data set and use that demand function to compute the optimal price for the product. You can use 20% of the average price as the cost of the product.
please show excel work
| P | D |
| 1 | 301 |
| 2 | 106 |
| 3 | 58 |
| 4 | 38 |
| 5 | 27 |
| 6 | 20 |
| 7 | 18 |
| 8 | 14 |
| 9 | 13 |
| 10 | 10 |
| 11 | 10 |
| 12 | 7 |
| 13 | 6 |
| 14 | 8 |
| 15 | 7 |
| 16 | 6 |
| 17 | 4 |
| 18 | 3 |
| 19 | 4 |
| 20 | 3 |
| 21 | 2 |
| 22 | 5 |
| 23 | 1 |
| 24 | 3 |
| 25 | 3 |
| 26 | 0 |
| 27 | 1 |
| 28 | 1 |
| 29 | 2 |
| 30 | 2 |
| 31 | 1 |
| 32 | 0 |
| 33 | 2 |
| 34 | 1 |
| 35 | 1 |
| 36 | 3 |
| 37 | 1 |
| 38 | 1 |
| 39 | 1 |
| 40 | 1 |
| 41 | 3 |
| 42 | 0 |
| 43 | 1 |
| 44 | 2 |
| 45 | 2 |
| 46 | 0 |
| 47 | 1 |
| 48 | 3 |
| 49 | 2 |
| 50 | 0 |
| 51 | 2 |
| 52 | 2 |
| 53 | 0 |
| 54 | 1 |
| 55 | 0 |
| 56 | 0 |
| 57 | 0 |
| 58 | 0 |
| 59 | 0 |
| 60 | 0 |
| 61 | 1 |
| 62 | 2 |
| 63 | 0 |
| 64 | 0 |
| 65 | 0 |
| 66 | 0 |
| 67 | 0 |
| 68 | 2 |
| 69 | 0 |
| 70 | 0 |
| 71 | 1 |
| 72 | 1 |
| 73 | 3 |
| 74 | 1 |
| 75 | 0 |
| 76 | 1 |
| 77 | 1 |
| 78 | 2 |
| 79 | 0 |
| 80 | 0 |
| 81 | 1 |
| 82 | 1 |
| 83 | 0 |
| 84 | 2 |
| 85 | 0 |
| 86 | 0 |
| 87 | 2 |
| 88 | 0 |
| 89 | 0 |
| 90 | 0 |
| 91 | 1 |
| 92 | 0 |
| 93 | 2 |
| 94 | 0 |
| 95 | 0 |
| 96 | 0 |
| 97 | 1 |
| 98 | 3 |
| 99 | 0 |
| 100 | 1 |
| 101 | 0 |
| 102 | 1 |
| 103 | 1 |
| 104 | 0 |
| 105 | 0 |
| 106 | 1 |
| 107 | 1 |
| 108 | 0 |
| 109 | 1 |
| 110 | 1 |
| 111 | 0 |
| 112 | 0 |
| 113 | 0 |
| 114 | 0 |
| 115 | 2 |
| 116 | 1 |
| 117 | 1 |
| 118 | 1 |
| 119 | 0 |
| 120 | 1 |
In: Operations Management