Suppose that the annual demand for TV sets in Zirconia is P = 2000 - 2Q.
a. Suppose that TV's R Us Corporation has the sole rights to import TV sets into the country of Zirconia. TRUC has no fixed costs. It can import TV's for a price of $150 per set and its additional costs of selling a TV amount to $50 per set.
If it wishes to maximize profits, how many TV sets should TRUC sell per year, what price should it charge, and what will be its annual profits? (Show your computations.)
b. Suppose that a World Bank/IMF mission persuades the country of Zirconia to abandon its import license scheme, so that any firm that wishes to do so can import and sell TV sets. Assume that TV's can be imported for a price of $150 per set and the additional costs of selling a TV amount to $50 per set. What do you expect to be the price of TV sets sold in Zirconia and what will be the annual quantity of sets bought and sold? (Explain your reasoning.)
In: Economics
In a sample of 2000 American adults, 500 said they believed in astrology.
In: Statistics and Probability
The key point of the case is : 6000 traditional bank jobs to go and 2000 new digital position created as NAB aims to move 60 percent of its business online over three years. redundancies are expected to cost up to $800 million. despite record underlying cash profit of $6.6bn, shares fall on cost blow out. question: write 10 academic references from which you will refer to theoretical issues.?using Harvard reference)
In: Economics
Two towns had a population of 12,000 in 1990. By 2000, the population of town A had increased by 13 % while the population of town B had decreased by 13 %. Assume these growth and decay rates continued.
a. Write two exponential population models A(T) and B(T) for towns A and B, respectively, where T is the number of decades since 1990.
A(T)=
12000*e0.12*T
B(T)=
12000*e−0.14*T
b. Write two new exponential models a(t) and b(t) for towns A and B, where t is the number of years since 1990.
Give the answers in the form C⋅at. Round the growth factor to four decimal places.
a(t)=
12000*1.13t
b(t)=
12000*0.87t
c. Find A(2), B(2), a(20), and b(20) and explain what you have found.
Round your answers to the nearest integer.
A(2)=
B(2)=
a(20)=
b(20)=
Each of these values represent the population
2 years after 199020 decades after 19902 decades after 1990
In: Math
The total paper needs to be at least 2000 words
In a leadership role, you will learn that there is an abundance of responsibilities, especially with regard to making important decisions. Decisions can be harder to make if you have a close working relationship with individuals. Place yourself in the seat of a member on the leadership team (manager, director, CEO, president, VP, etc.). Pick a scenario, from the list below, and discuss how you would go about making your decision based on your knowledge.
• Layoffs: You are challenged with a decision to layoff a team
member who has been loyal to the organization for many years and
has ultimately become your friend.
• Hiring: There are two people who qualify, for a position, in your
department. One person has years of experience while the other
person has the education.
• Sexual harassment: An employee has filed sexual harassment
against a manager, who happens to be a close confidante of
yours.
• Theft: A manager is suspected of stealing from the organization.
This manager happens to be your relative.
This is an opportunity to get creative and also showcase your
leadership skills. You may fill in the blanks however you would
like. Be specific in providing the details of the scenario you
choose. Additionally, you will need to address the process of your
thinking regarding how you would go about making your decision and
why you would choose this decision. Please use subtitles for each
section. The subtitles should be labeled as follows:
• Scenario (Discuss the scenario from the list and fill in the
blanks to complete the situation.)
• Decision (Describe the process of thinking and why you chose this
decision.)
• Position (This section will detail why you selected this
decision.)
• Conclusion
In: Economics
In July 2000, the Protein Data Bank named the nucleosome “molecule of the month.” In an accompanying report, David Goodsell wrote that
"The job of the nucleosome is paradoxical, requiring it to perform two oppo- site functions simultaneously. On one hand, nucleosomes must be stable, forming tight, sheltering structures that compact the DNA and keep it from harm. On the other hand, nucleosomes must be labile enough to allow the information in the DNA to be used. Polymerases must be allowed access to the DNA, both to transcribe messenger RNA for building new proteins and to replicate the DNA when the cell divides."
Explain how nucleosomes help DNA to adopt a highly-compact structure while also keeping the DNA molecule accessible for transcription and replication?
In: Biology
The working age population of Shepherdlandia is 2000.
The number of employed persons in Shepherdlandia is 1050.
The total labor force in Shepherdlandia is 1140.
1. How many people are unemployed? (1 point) _____________ (2
decimal places)
2. What is the unemployment rate? (2 points) ____________ (2
decimal places)
3. What is the labor force participation rate? (2 points)
______________ (2 decimal places)
4. Bob worked for pay last week for a total of 10 hours. He is
looking for full-time employment, so he is only
employed 25%. Is Bob counted as employed, unemployed or neither as
calculated by the U.S. BLS? (3 points)
5. Due to a recession 10 people, who had been counted as unemployed
in the above table, has decided to not
work for the next 9 months while he attends classes at SJR State
College. What is the new unemployment rate
in Shepherdlandia that results from their decision? (4
points)
(3 decimal places)
6. In Shepherdlandia (after the 10 people in #5 made their choice),
the BLS decides to count the 20 citizens that
are serving in the armed forces on active duty in the working age
population. Now, what is the
unemployment rate? (4 points) (3 decimal places)
In: Economics
In Ghana, the problem of financial distress of banks is not new.
In 2000, two banks (Bank for Housing and Construction and the Ghana
Co-Operative Bank) were liquidated. On Monday 14 August 2017, there
was a breaking news of the collapse of two banks (Capital Bank and
UT Bank) with the third (UniBank) receiving special attention from
the Central Bank with the appointment of KPMG as Official
Administrators following UniBank’s insolvency. In almost a year
later, the Central Bank revoked the license of five insolvent banks
( Unibank, Royal bank, Sovereign bank, Beige bank and Construction
bank) to form a new Consolidated bank owned by government. The
number of banks failure is a concern to all stakeholders in the
Ghanaian banking Industry.
Required: Answer the following questions from the above
preamble.
a) Explain the term Bank Failure.
b) Explain three determinants of possible bank financial distress
that could cause bank failure.
c) Discuss two economic implications of bank failure.
In: Finance
As a red giant, the Sun’s luminosity will be about 2000 times greater than it is now. Calculate the surface temperature of the Earth under these conditions assuming that the Earth is still at 1 AU and that the photosphere of the sun is well within 1 AU.
the answer should be about 1900 K but im not sure what am i getting wrong in my calculations, please help!
In: Physics
Background
An American College conducted a study in the early 2000 to examine if there were any gender pay gaps[1] in its four schools: Business, Health, Liberal Studies and Sciences. Data were collected of a sample of 199 academics on their annual salary, years of service, rank, school, gender and age. The data file: Faculty Salary (Research Report Dataset).xlsx is available on Blackboard. A small portion of the data is shown below:
|
Faculty ID |
Age |
Years of Service |
Rank |
School |
Gender M/F |
Salary ($/year) |
||
|
1 |
49 |
22 |
ASST |
BUSINESS |
F |
106632 |
||
|
2 |
31 |
0 |
ASST |
BUSINESS |
F |
80000 |
||
|
3 |
34 |
2 |
ASST |
BUSINESS |
F |
114666 |
||
|
… |
… |
… |
… |
… |
… |
… |
||
Legend: There are three academic ranks in the dataset: ASST, ASSO and PROF, which stand for Assistant Professor, Associate Professor and Professor respectively.
Task 1 (Boxplots and t-tests)
(a) Construct separate boxplots of salaries for male and female academics, and compare their distributions (central location, spread and skewness).
(b) Test if male academics on average earn more than their female counterparts at 1%.
(1 mark)
(a) Considering assistant professors only, test if male assistant professors on average earn more than female assistant professors at 1%.
(1 mark)
(b) Considering associate professors only, test if male associate professors on average earn more than female associate professors at 1%.
(1 mark)
(c) Considering professors only, test if male professors on average earn more than female professors at 1%.
(1 mark)
| Faculty ID | Age | Years of Service | Rank | School | Gender M/F | Salary ($/year) |
| 1 | 49 | 22 | ASST | BUSINESS | F | 106632 |
| 2 | 31 | 0 | ASST | BUSINESS | F | 80000 |
| 3 | 34 | 2 | ASST | BUSINESS | F | 114666 |
| 4 | 34 | 0 | ASST | BUSINESS | F | 112000 |
| 5 | 41 | 6 | ASSO | BUSINESS | F | 119962 |
| 6 | 28 | 0 | ASST | BUSINESS | F | 110000 |
| 7 | 58 | 23 | ASSO | LIBERAL STUDIES | F | 94376 |
| 8 | 52 | 22 | ASST | LIBERAL STUDIES | F | 83506 |
| 9 | 35 | 6 | ASSO | LIBERAL STUDIES | F | 81124 |
| 10 | 37 | 7 | ASSO | LIBERAL STUDIES | F | 75116 |
| 11 | 42 | 7 | ASSO | LIBERAL STUDIES | F | 83568 |
| 12 | 30 | 3 | ASST | LIBERAL STUDIES | F | 66958 |
| 13 | 57 | 23 | PROF | LIBERAL STUDIES | F | 111758 |
| 14 | 53 | 23 | PROF | LIBERAL STUDIES | F | 110750 |
| 15 | 26 | 0 | ASST | LIBERAL STUDIES | F | 74000 |
| 16 | 59 | 30 | ASST | LIBERAL STUDIES | F | 98926 |
| 17 | 39 | 4 | ASST | LIBERAL STUDIES | F | 66190 |
| 18 | 51 | 19 | ASSO | LIBERAL STUDIES | F | 95138 |
| 19 | 38 | 4 | ASST | LIBERAL STUDIES | F | 66190 |
| 20 | 54 | 21 | ASSO | LIBERAL STUDIES | F | 84870 |
| 21 | 43 | 17 | ASSO | LIBERAL STUDIES | F | 78460 |
| 22 | 35 | 0 | ASST | LIBERAL STUDIES | F | 56700 |
| 23 | 31 | 3 | ASST | LIBERAL STUDIES | F | 63666 |
| 24 | 41 | 6 | ASSO | LIBERAL STUDIES | F | 76908 |
| 25 | 31 | 1 | ASST | LIBERAL STUDIES | F | 62776 |
| 26 | 56 | 21 | PROF | LIBERAL STUDIES | F | 105900 |
| 27 | 43 | 18 | ASSO | LIBERAL STUDIES | F | 90310 |
| 28 | 48 | 20 | ASSO | LIBERAL STUDIES | F | 92424 |
| 29 | 49 | 21 | ASST | HEALTH | F | 95386 |
| 30 | 49 | 17 | ASSO | HEALTH | F | 87098 |
| 31 | 40 | 7 | ASSO | HEALTH | F | 74218 |
| 32 | 32 | 1 | ASST | HEALTH | F | 64800 |
| 33 | 37 | 4 | ASST | HEALTH | F | 71314 |
| 34 | 54 | 24 | PROF | HEALTH | F | 110770 |
| 35 | 32 | 3 | ASST | HEALTH | F | 66924 |
| 36 | 38 | 7 | ASSO | HEALTH | F | 74410 |
| 37 | 34 | 6 | ASST | HEALTH | F | 65700 |
| 38 | 28 | 3 | ASST | HEALTH | F | 70218 |
| 39 | 26 | 1 | ASST | HEALTH | F | 76900 |
| 40 | 35 | 2 | ASST | HEALTH | F | 70210 |
| 41 | 33 | 2 | ASST | HEALTH | F | 71088 |
| 42 | 40 | 8 | ASSO | SCIENCES | F | 78484 |
| 43 | 35 | 1 | ASST | SCIENCES | F | 66906 |
| 44 | 36 | 3 | ASST | SCIENCES | F | 69112 |
| 45 | 32 | 3 | ASST | SCIENCES | F | 71088 |
| 46 | 29 | 2 | ASST | SCIENCES | F | 73180 |
| 47 | 43 | 12 | ASST | SCIENCES | F | 82330 |
| 48 | 37 | 5 | ASST | SCIENCES | F | 70210 |
| 49 | 34 | 7 | ASSO | SCIENCES | F | 81432 |
| 50 | 34 | 8 | ASST | SCIENCES | F | 73332 |
| 51 | 35 | 9 | ASST | SCIENCES | F | 67200 |
| 52 | 41 | 6 | ASST | SCIENCES | F | 67328 |
| 53 | 39 | 11 | ASST | SCIENCES | F | 79646 |
| 54 | 44 | 17 | ASSO | SCIENCES | F | 98104 |
| 55 | 46 | 12 | ASST | SCIENCES | F | 73154 |
| 56 | 42 | 11 | ASST | SCIENCES | F | 68878 |
| 57 | 36 | 1 | ASSO | SCIENCES | F | 81000 |
| 58 | 43 | 18 | ASST | SCIENCES | F | 82190 |
| 59 | 51 | 19 | ASST | SCIENCES | F | 81286 |
| 60 | 51 | 16 | ASSO | SCIENCES | F | 87940 |
| 61 | 54 | 19 | ASST | SCIENCES | F | 85498 |
| 62 | 45 | 10 | ASST | SCIENCES | F | 72406 |
| 63 | 38 | 11 | ASSO | SCIENCES | F | 85848 |
| 64 | 39 | 8 | ASST | SCIENCES | F | 74332 |
| 65 | 50 | 19 | ASST | SCIENCES | F | 83946 |
| 66 | 33 | 2 | ASST | SCIENCES | F | 73180 |
| 67 | 44 | 11 | PROF | BUSINESS | M | 128750 |
| 68 | 37 | 7 | ASSO | BUSINESS | M | 127002 |
| 69 | 37 | 6 | ASSO | BUSINESS | M | 118852 |
| 70 | 45 | 20 | ASSO | BUSINESS | M | 98116 |
| 71 | 34 | 4 | PROF | BUSINESS | M | 189938 |
| 72 | 47 | 21 | ASST | BUSINESS | M | 109524 |
| 73 | 36 | 9 | ASSO | BUSINESS | M | 111032 |
| 74 | 44 | 18 | ASSO | BUSINESS | M | 91864 |
| 75 | 40 | 11 | ASSO | BUSINESS | M | 113742 |
| 76 | 31 | 5 | ASST | BUSINESS | M | 121770 |
| 77 | 29 | 2 | PROF | BUSINESS | M | 167266 |
| 78 | 37 | 2 | ASST | BUSINESS | M | 116000 |
| 79 | 40 | 14 | ASST | BUSINESS | M | 82550 |
| 80 | 44 | 10 | PROF | BUSINESS | M | 127282 |
| 81 | 45 | 17 | ASST | BUSINESS | M | 100212 |
| 82 | 33 | 7 | ASSO | BUSINESS | M | 116100 |
| 83 | 35 | 3 | ASSO | BUSINESS | M | 138842 |
| 84 | 49 | 22 | ASSO | BUSINESS | M | 115500 |
| 85 | 36 | 9 | ASSO | BUSINESS | M | 112988 |
| 86 | 32 | 6 | PROF | BUSINESS | M | 156614 |
| 87 | 33 | 5 | PROF | BUSINESS | M | 147728 |
| 88 | 59 | 24 | ASSO | LIBERAL STUDIES | M | 102856 |
| 89 | 47 | 21 | ASSO | LIBERAL STUDIES | M | 91430 |
| 90 | 59 | 27 | PROF | LIBERAL STUDIES | M | 112144 |
| 91 | 40 | 12 | ASST | LIBERAL STUDIES | M | 75096 |
| 92 | 47 | 14 | PROF | LIBERAL STUDIES | M | 102144 |
| 93 | 27 | 0 | ASSO | LIBERAL STUDIES | M | 78000 |
| 94 | 37 | 8 | ASST | LIBERAL STUDIES | M | 81016 |
| 95 | 41 | 16 | ASST | LIBERAL STUDIES | M | 74374 |
| 96 | 41 | 7 | ASSO | LIBERAL STUDIES | M | 103774 |
| 97 | 57 | 22 | ASST | LIBERAL STUDIES | M | 92682 |
| 98 | 29 | 0 | ASST | LIBERAL STUDIES | M | 65812 |
| 99 | 61 | 30 | PROF | LIBERAL STUDIES | M | 118512 |
| 100 | 59 | 24 | PROF | LIBERAL STUDIES | M | 119286 |
| 101 | 53 | 25 | PROF | LIBERAL STUDIES | M | 138838 |
| 102 | 54 | 19 | ASSO | LIBERAL STUDIES | M | 88126 |
| 103 | 47 | 22 | PROF | LIBERAL STUDIES | M | 112918 |
| 104 | 40 | 8 | ASSO | LIBERAL STUDIES | M | 80000 |
| 105 | 50 | 23 | PROF | LIBERAL STUDIES | M | 112008 |
| 106 | 36 | 7 | ASSO | LIBERAL STUDIES | M | 72828 |
| 107 | 51 | 18 | PROF | LIBERAL STUDIES | M | 94240 |
| 108 | 55 | 25 | ASSO | LIBERAL STUDIES | M | 99262 |
| 109 | 41 | 11 | PROF | LIBERAL STUDIES | M | 91164 |
| 110 | 59 | 24 | PROF | LIBERAL STUDIES | M | 110330 |
| 111 | 57 | 24 | PROF | LIBERAL STUDIES | M | 115032 |
| 112 | 55 | 22 | ASSO | LIBERAL STUDIES | M | 94506 |
| 113 | 27 | 0 | ASST | LIBERAL STUDIES | M | 63000 |
| 114 | 37 | 7 | ASSO | LIBERAL STUDIES | M | 75922 |
| 115 | 53 | 22 | PROF | LIBERAL STUDIES | M | 116014 |
| 116 | 34 | 0 | ASST | LIBERAL STUDIES | M | 63000 |
| 117 | 37 | 12 | ASSO | LIBERAL STUDIES | M | 83714 |
| 118 | 27 | 2 | ASST | LIBERAL STUDIES | M | 64892 |
| 119 | 30 | 0 | ASST | LIBERAL STUDIES | M | 63000 |
| 120 | 58 | 24 | PROF | LIBERAL STUDIES | M | 116878 |
| 121 | 58 | 25 | PROF | LIBERAL STUDIES | M | 140036 |
| 122 | 47 | 20 | ASSO | LIBERAL STUDIES | M | 93688 |
| 123 | 36 | 11 | PROF | LIBERAL STUDIES | M | 130566 |
| 124 | 33 | 8 | ASSO | LIBERAL STUDIES | M | 73170 |
| 125 | 62 | 28 | ASSO | LIBERAL STUDIES | M | 112672 |
| 126 | 35 | 6 | ASSO | LIBERAL STUDIES | M | 71940 |
| 127 | 49 | 21 | PROF | LIBERAL STUDIES | M | 105308 |
| 128 | 49 | 24 | PROF | LIBERAL STUDIES | M | 108416 |
| 129 | 59 | 25 | PROF | LIBERAL STUDIES | M | 112510 |
| 130 | 41 | 16 | PROF | LIBERAL STUDIES | M | 93914 |
| 131 | 39 | 8 | ASSO | LIBERAL STUDIES | M | 80002 |
| 132 | 46 | 16 | ASSO | LIBERAL STUDIES | M | 87362 |
| 133 | 32 | 7 | ASSO | LIBERAL STUDIES | M | 81968 |
| 134 | 53 | 25 | PROF | LIBERAL STUDIES | M | 134086 |
| 135 | 51 | 22 | PROF | LIBERAL STUDIES | M | 131962 |
| 136 | 57 | 25 | PROF | LIBERAL STUDIES | M | 108328 |
| 137 | 50 | 18 | ASST | LIBERAL STUDIES | M | 76948 |
| 138 | 59 | 24 | PROF | LIBERAL STUDIES | M | 116882 |
| 139 | 48 | 22 | ASSO | LIBERAL STUDIES | M | 98082 |
| 140 | 46 | 17 | ASST | LIBERAL STUDIES | M | 79104 |
| 141 | 50 | 23 | ASSO | LIBERAL STUDIES | M | 95618 |
| 142 | 56 | 25 | PROF | LIBERAL STUDIES | M | 114312 |
| 143 | 34 | 1 | ASST | HEALTH | M | 70876 |
| 144 | 48 | 20 | ASSO | HEALTH | M | 94694 |
| 145 | 53 | 20 | PROF | HEALTH | M | 108514 |
| 146 | 33 | 8 | ASSO | HEALTH | M | 95546 |
| 147 | 56 | 23 | PROF | HEALTH | M | 127950 |
| 148 | 30 | 1 | ASST | HEALTH | M | 70876 |
| 149 | 47 | 16 | PROF | HEALTH | M | 109672 |
| 150 | 34 | 7 | ASST | HEALTH | M | 71776 |
| 151 | 55 | 20 | PROF | HEALTH | M | 98176 |
| 152 | 55 | 23 | PROF | HEALTH | M | 131104 |
| 153 | 51 | 22 | ASST | HEALTH | M | 90222 |
| 154 | 51 | 23 | ASSO | HEALTH | M | 112980 |
| 155 | 33 | 2 | PROF | HEALTH | M | 216676 |
| 156 | 54 | 26 | ASST | HEALTH | M | 111170 |
| 157 | 37 | 2 | ASST | HEALTH | M | 73988 |
| 158 | 53 | 21 | ASSO | HEALTH | M | 113858 |
| 159 | 53 | 21 | ASSO | HEALTH | M | 93740 |
| 160 | 46 | 17 | ASSO | HEALTH | M | 92314 |
| 161 | 31 | 2 | ASST | SCIENCES | M | 68998 |
| 162 | 28 | 0 | ASST | SCIENCES | M | 70400 |
| 163 | 58 | 24 | PROF | SCIENCES | M | 107188 |
| 164 | 34 | 8 | ASSO | SCIENCES | M | 80462 |
| 165 | 43 | 8 | ASSO | SCIENCES | M | 74336 |
| 166 | 32 | 6 | ASST | SCIENCES | M | 68016 |
| 167 | 42 | 17 | PROF | SCIENCES | M | 96036 |
| 168 | 30 | 3 | ASST | SCIENCES | M | 76796 |
| 169 | 52 | 18 | PROF | SCIENCES | M | 106422 |
| 170 | 63 | 28 | PROF | SCIENCES | M | 137980 |
| 171 | 37 | 2 | ASST | SCIENCES | M | 70880 |
| 172 | 55 | 25 | PROF | SCIENCES | M | 116100 |
| 173 | 27 | 0 | ASST | SCIENCES | M | 68000 |
| 174 | 59 | 26 | PROF | SCIENCES | M | 126018 |
| 175 | 43 | 9 | ASSO | SCIENCES | M | 82836 |
| 176 | 50 | 21 | PROF | SCIENCES | M | 101558 |
| 177 | 61 | 29 | PROF | SCIENCES | M | 131302 |
| 178 | 55 | 23 | ASSO | SCIENCES | M | 107222 |
| 179 | 67 | 41 | ASSO | SCIENCES | M | 115342 |
| 180 | 34 | 6 | ASSO | SCIENCES | M | 84418 |
| 181 | 50 | 21 | PROF | SCIENCES | M | 93946 |
| 182 | 55 | 23 | PROF | SCIENCES | M | 110138 |
| 183 | 43 | 8 | ASSO | SCIENCES | M | 74478 |
| 184 | 53 | 25 | ASSO | SCIENCES | M | 102814 |
| 185 | 44 | 13 | PROF | SCIENCES | M | 119386 |
| 186 | 33 | 0 | ASST | SCIENCES | M | 69000 |
| 187 | 43 | 12 | ASST | SCIENCES | M | 82266 |
| 188 | 37 | 4 | ASST | SCIENCES | M | 71088 |
| 189 | 43 | 14 | ASST | SCIENCES | M | 78240 |
| 190 | 47 | 14 | ASST | SCIENCES | M | 89808 |
| 191 | 55 | 22 | PROF | SCIENCES | M | 108284 |
| 192 | 40 | 9 | ASST | SCIENCES | M | 100324 |
| 193 | 48 | 22 | ASSO | SCIENCES | M | 125832 |
| 194 | 47 | 14 | PROF | SCIENCES | M | 107322 |
| 195 | 41 | 12 | PROF | SCIENCES | M | 94672 |
| 196 | 49 | 14 | PROF | SCIENCES | M | 89460 |
| 197 | 37 | 11 | ASSO | SCIENCES | M | 84378 |
| 198 | 36 | 10 | ASST | SCIENCES | M | 72406 |
| 199 | 42 | 14 | ASSO | SCIENCES | M | 91458 |
In: Accounting