For each of the following changes, what happens to the real interest rate and output in the very short run, before the price level has adjusted to restore general equilibrium? (a) Wealth rises. (b) Money supply rises. (c) The future marginal productivity of capital increases. (d) Expected inflation declines. (e) Future income declines.
In: Economics
Question: Identify and evaluate the effects of changes in supply and demand on businesses and consumers in a market economy.
In: Economics
2. (a) State and explain the changes in the lung volume, the alveolar pressure (Palv) and airflow between the atmosphere and the lungs during passive exhalation.
(b) What happens to the ventilation rate during exercise? Briefly describe and explain how the chemoreceptors work during exercise.
In: Biology
FIN101
Assignment Question(s):
|
Island |
Burger |
Fink |
Roland |
||
|
Ratio |
Electric Utility |
Heaven |
Software |
Motors |
|
|
Current ratio |
1.06 |
1.35 |
6.79 |
4.55 |
|
|
Quick ratio |
0.92 |
0.87 |
5.23 |
3.73 |
|
|
Debt ratio |
0.69 |
0.45 |
0.04 |
0.34 |
|
|
Net profit margin |
6.25% |
14.33% |
28.46% |
8.43% |
Assuming that his uncle was a wise investor who assembled the portfolio with care, Robert finds the wide differences in these ratios confusing. Help him out.
(1) 4 years,
(2) 8 years, and
(3) 12 years.
|
Amount of annuity |
Interest rate |
Deposit period (years) |
|
|
$500 |
9% |
10 |
In: Finance
Explanation of Management Implications of IFRS
Changes in the GAAP that an organization uses for its financial
reporting can impact how and when assets and liabilities are
recorded. Sometimes they can cause dramatic shifts in the amount of
profit or loss an organization reports. These changes can impact
how the financial health of an organization is interpreted.
For example, US GAAP requires that land assets be reported based on
the cost to acquire them because there is no objective evidence of
their current value. IFRS allows for revaluation of some
nonfinancial assets to fair value. Imagine if a piece of land that
was purchased for $1 million and recorded, for the last 100 years,
on your balance sheet at $1 million was suddenly revalued on the
balance sheet at $300 million. Key numbers on the balance sheet,
such as total assets, could change dramatically overnight. Also,
consider the reverse example. A building on an organization’s
balance sheet is revalued from $300 million to $100 million.
Revaluation of assets for fair value does not necessarily involve
increasing asset values.
Such changes in the numbers could have many impacts. These changes
would impact how outsiders view the organization. Numbers that
analysts use as benchmarks for strong or weak financial performance
would have to be reassessed. Contracts could be affected since
contracts often call for certain financial statement relationships
to be maintained. For example, when a bond is issued, often the
borrower would be required to maintain a minimum amount of assets
relative to their liabilities. But changing accounting reporting
requirements could cause significant enough changes in reported
assets and liabilities to change those relationships. In some
cases, this could create default situations. Such contracts would
likely need to be renegotiated before the adoption of the new
standards. Compensation could also be affected. Many organizations
provide some compensation based on the organization’s profits. If
the implementation of IFRS reporting rules results in different
levels of profit being reported, it will impact compensation. All
profit-sharing plans would need to be revisited and possibly
revised. This provides just a small sampling of some of the
extensive differences between the current US GAAP and IFRS and the
implications of a potential shift from US GAAP to IFRS. It is
suggested that readers Google “US Adoption of IFRS” to find the
latest status of this potential transition.
1. Please list and explain several implications of IFRS on financial reporting by healthcare organizations.
a.
b.
c.
d.
In: Accounting
A sociologist is interested in the relation between x = number of job changes and y = annual salary (in thousands of dollars) for people living in the Nashville area. A random sample of 10 people employed in Nashville provided the following information.
| x (number of job changes) | 5 | 3 | 4 | 6 | 1 | 5 | 9 | 10 | 10 | 3 |
| y (Salary in $1000) | 35 | 37 | 36 | 32 | 32 | 38 | 43 | 37 | 40 | 33 |
In this setting we have Σx = 56, Σy = 363, Σx2 = 402, Σy2 = 13,289, and Σxy = 2100.
(c) Find the sample correlation coefficient r and the coefficient of determination. (Round your answers to three decimal places.)
| r = | _____ |
| r2 = | _____ |
What percentage of variation in y is explained by the
least-squares model? (Round your answer to one decimal
place.)
_____%
(d) Test the claim that the population correlation coefficient
ρ is positive at the 5% level of significance. (Round your
test statistic to three decimal places.)
t =
Find or estimate the P-value of the test statistic.
11
P-value > 0.250
0.125 < P-value < 0.250
0.100 < P-value < 0.125
0.075 < P-value < 0.100
0.050 < P-value < 0.075
0.025 < P-value < 0.050
0.010 < P-value < 0.025
0.005 < P-value < 0.010
0.0005 < P-value < 0.005
P-value < 0.0005
Conclusion
Reject the null hypothesis. There is sufficient evidence that ρ > 0.
Reject the null hypothesis. There is insufficient evidence that ρ > 0.
Fail to reject the null hypothesis. There is sufficient evidence that ρ > 0.
Fail to reject the null hypothesis. There is insufficient evidence that ρ > 0.
(e) If someone had x = 6 job changes, what does the
least-squares line predict for y, the annual salary?
(Round your answer to two decimal places.)
________ thousand dollars
(f) Find Se. (Round your answer to two decimal
places.)
Se =
(g) Find a 90% confidence interval for the annual salary of an
individual with x = 6 job changes. (Round your answers to
two decimal places.)
| lower limit | _________ thousand dollars |
| upper limit | _________ thousand dollars |
(h) Test the claim that the slope β of the population
least-squares line is positive at the 5% level of significance.
(Round your test statistic to three decimal places.)
t =
Find or estimate the P-value of the test statistic.
P-value > 0.250
0.125 < P-value < 0.250
0.100 < P-value < 0.125
0.075 < P-value < 0.100
0.050 < P-value < 0.075
0.025 < P-value < 0.050
0.010 < P-value < 0.025
0.005 < P-value < 0.010
0.0005 < P-value < 0.005
P-value < 0.0005
Conclusion
Reject the null hypothesis. There is sufficient evidence that β > 0.
Reject the null hypothesis. There is insufficient evidence that β > 0.
Fail to reject the null hypothesis. There is sufficient evidence that β > 0.
Fail to reject the null hypothesis. There is insufficient evidence that β > 0.
(i) Find a 90% confidence interval for β and interpret its
meaning. (Round your answers to three decimal places.)
| lower limit | _________ |
| upper limit | _________ |
Interpretation
A)For each less job change, the annual salary increases by an amount that falls outside the confidence interval.
B)For each less job change, the annual salary increases by an amount that falls within the confidence interval.
C)For each additional job change, the annual salary increases by an amount that falls outside the confidence interval.
D)For each additional job change, the annual salary increases by an amount that falls within the confidence interval.
PLEASE NOTE THIS IS ALL ONE QUESTION. ALL ONE QUESTION. Thanks.
In: Statistics and Probability
What is the percentage change in price for a zero coupon bond if the yield changes from
8.5%
to
5.5%?
The bond has a face value of
$1,000
and it matures in
19
years. Use the price determined from the first yield,
8.5%,
as the base in the percentage calculation.
In: Finance
Explain the logic of the monetary neutrality and why changes in the quantity of money only affect nominal variables and not real variables. Do you agree that monetary neutrality approximates the behavior of the economy in the long run? Why or why not?
In: Economics
A mouse carries a mutation in somatic cell that changes a lysine codons into a glutamic acid codon. Prior to this mutation the mouse was exposed to X-Ray, UV light, Proflavin, 5-bromouracil and EMS. Which of these agents would be the most likely the cause of the mutation?
A. Proflavin
B. EMS
C. UV light
D. 5-bromouracil
In: Biology
A sociologist is interested in the relation between x = number of job changes and y = annual salary (in thousands of dollars) for people living in the Nashville area. A random sample of 10 people employed in Nashville provided the following information. x (number of job changes) 3 4 5 6 1 5 9 10 10 3 y (Salary in $1000) 38 32 35 32 32 38 43 37 40 33 In this setting we have Σx = 56, Σy = 360, Σx2 = 402, Σy2 = 13,092, and Σxy = 2087. (a) Find x, y, b, and the equation of the least-squares line. (Round your answers for x and y to two decimal places. Round your least-squares estimates to four decimal places.) x = y = b = ŷ = + x (b) Draw a scatter diagram displaying the data. Graph the least-squares line on your scatter diagram. Be sure to plot the point (x, y). WebAssign Plot WebAssign Plot WebAssign Plot WebAssign Plot (c) Find the sample correlation coefficient r and the coefficient of determination. (Round your answers to three decimal places.) r = r2 = What percentage of variation in y is explained by the least-squares model? (Round your answer to one decimal place.) % (d) Test the claim that the population correlation coefficient ρ is positive at the 5% level of significance. (Round your test statistic to three decimal places.) t = Find or estimate the P-value of the test statistic. P-value > 0.250 0.125 < P-value < 0.250 0.100 < P-value < 0.125 0.075 < P-value < 0.100 0.050 < P-value < 0.075 0.025 < P-value < 0.050 0.010 < P-value < 0.025 0.005 < P-value < 0.010 0.0005 < P-value < 0.005 P-value < 0.0005 Conclusion Reject the null hypothesis. There is sufficient evidence that ρ > 0. Reject the null hypothesis. There is insufficient evidence that ρ > 0. Fail to reject the null hypothesis. There is sufficient evidence that ρ > 0. Fail to reject the null hypothesis. There is insufficient evidence that ρ > 0. (e) If someone had x = 8 job changes, what does the least-squares line predict for y, the annual salary? (Round your answer to two decimal places.) thousand dollars (f) Find Se. (Round your answer to two decimal places.) Se = (g) Find a 90% confidence interval for the annual salary of an individual with x = 8 job changes. (Round your answers to two decimal places.) lower limit thousand dollars upper limit thousand dollars (h) Test the claim that the slope β of the population least-squares line is positive at the 5% level of significance. (Round your test statistic to three decimal places.) t = Find or estimate the P-value of the test statistic. P-value > 0.250 0.125 < P-value < 0.250 0.100 < P-value < 0.125 0.075 < P-value < 0.100 0.050 < P-value < 0.075 0.025 < P-value < 0.050 0.010 < P-value < 0.025 0.005 < P-value < 0.010 0.0005 < P-value < 0.005 P-value < 0.0005 Conclusion Reject the null hypothesis. There is sufficient evidence that β > 0. Reject the null hypothesis. There is insufficient evidence that β > 0. Fail to reject the null hypothesis. There is sufficient evidence that β > 0. Fail to reject the null hypothesis. There is insufficient evidence that β > 0. (i) Find a 90% confidence interval for β and interpret its meaning. (Round your answers to three decimal places.) lower limit upper limit Interpretation For each additional job change, the annual salary increases by an amount that falls outside the confidence interval. For each additional job change, the annual salary increases by an amount that falls within the confidence interval. For each less job change, the annual salary increases by an amount that falls outside the confidence interval. For each less job change, the annual salary increases by an amount that falls within the confidence interval.
In: Statistics and Probability