1)Which of the following are correct statements about the Bellman Equation?
A) Bellman equation represents the value of a state in terms of the value of successor states.
B) Bellman equation represents the expected value of successor states.
C) Bellman equation can be written for a state or a state-action pair.
D) Bellman equation is based on an approximation of the value of the current state.
2) Which of the following describes what a backup diagram represents? (Please explain)
a)Shows the current state and all possible subsequent actions and states, and the expected value of a state can be computed by ‘backing-up’ over the values of subsequent states in the diagram.
b)Shows all possible paths to arrive at the current state, and can be used to compute the expected values of the predecessor states by ‘backing up’ over the values of these predecessor states.
c)Shows all possible paths to arrive at the current state, and can be used to compute the expected values of the current state by ‘backing up over the state values in the diagram.
d)Shows the current state and all possible subsequent actions and states, and the expected value of a predecessor state can be computed by ‘backing-up’ over the values of the states in the diagram.
In: Computer Science
Are Southern and Western states equally prone to fatal lightning strikes? Suppose the number of lightning strike fatalities over a 5-year period for Southern and Western states are shown as follows.
| Southern State |
Fatalities |
|---|---|
| AL | 5 |
| AR | 1 |
| FL | 17 |
| GA | 7 |
| KY | 5 |
| LA | 5 |
| MS | 4 |
| NC | 3 |
| OK | 2 |
| SC | 4 |
| TN | 0 |
| TX | 9 |
| VA | 0 |
| Western State |
Fatalities |
|---|---|
| AZ | 6 |
| CA | 1 |
| ID | 2 |
| MT | 2 |
| NM | 2 |
| NV | 0 |
| OR | 2 |
| UT | 3 |
| WA | 0 |
| WY | 4 |
Use α = 0.05 and test to determine whether the distribution of lightning fatalities is the same for these two regions.
State the null and alternative hypotheses.
H0: The two populations of lightning
fatalities are identical.
Ha: The two populations of lightning fatalities
are not identical.H0: Median number of
lightning fatalities for Southern states − Median number of
lightning fatalities for Western states > 0
Ha: Median number of lightning fatalities for
Southern states − Median number of lightning fatalities for Western
states = 0 H0: Median
number of lightning fatalities for Southern states − Median number
of lightning fatalities for Western states ≤ 0
Ha: Median number of lightning fatalities for
Southern states − Median number of lightning fatalities for Western
states > 0H0: Median number of lightning
fatalities for Southern states − Median number of lightning
fatalities for Western states ≥ 0
Ha: Median number of lightning fatalities for
Southern states − Median number of lightning fatalities for Western
states < 0H0: The two populations of
lightning fatalities are not identical.
Ha: The two populations of lightning fatalities
are identical.
Find the value of the test statistic.
W =
Find the p-value. (Round your answer to four decimal places.)
p-value =
What is your conclusion?
Do not reject H0. There is sufficient evidence to conclude that the distribution of lightning fatalities is different for these two regions.Reject H0. There is sufficient evidence to conclude that the distribution of lightning fatalities is different for these two regions. Reject H0. There is not sufficient evidence to conclude that the distribution of lightning fatalities is different for these two regions.Do not reject H0. There is not sufficient evidence to conclude that the distribution of lightning fatalities is different for these two regions.
In: Statistics and Probability
Are Southern and Western states equally prone to fatal lightning strikes? Suppose the number of lightning strike fatalities over a 5-year period for Southern and Western states are shown as follows.
| Southern State |
Fatalities |
|---|---|
| AL | 5 |
| AR | 2 |
| FL | 17 |
| GA | 7 |
| KY | 5 |
| LA | 5 |
| MS | 1 |
| NC | 3 |
| OK | 4 |
| SC | 1 |
| TN | 0 |
| TX | 8 |
| VA | 0 |
| Western State |
Fatalities |
|---|---|
| AZ | 9 |
| CA | 2 |
| ID | 4 |
| MT | 4 |
| NM | 4 |
| NV | 0 |
| OR | 4 |
| UT | 3 |
| WA | 0 |
| WY | 1 |
Use α = 0.05 and test to determine whether the distribution of lightning fatalities is the same for these two regions.
State the null and alternative hypotheses.
H0: Median number of lightning fatalities
for Southern states − Median number of lightning fatalities for
Western states ≥ 0
Ha: Median number of lightning fatalities for
Southern states − Median number of lightning fatalities for Western
states < 0
H0: The two populations of lightning
fatalities are identical.
Ha: The two populations of lightning fatalities
are not identical.
H0: The two populations of lightning
fatalities are not identical.
Ha: The two populations of lightning fatalities
are identical.
H0: Median number of lightning fatalities
for Southern states − Median number of lightning fatalities for
Western states ≤ 0
Ha: Median number of lightning fatalities for
Southern states − Median number of lightning fatalities for Western
states > 0
H0: Median number of lightning fatalities
for Southern states − Median number of lightning fatalities for
Western states > 0
Ha: Median number of lightning fatalities for
Southern states − Median number of lightning fatalities for Western
states = 0
Find the value of the test statistic.
W =
Find the p-value. (Round your answer to four decimal places.)
p-value =
What is your conclusion?
Reject H0. There is sufficient evidence to conclude that the distribution of lightning fatalities is different for these two regions.
Do not reject H0. There is not sufficient evidence to conclude that the distribution of lightning fatalities is different for these two regions.
Reject H0. There is not sufficient evidence to conclude that the distribution of lightning fatalities is different for these two regions.
Do not reject H0. There is sufficient evidence to conclude that the distribution of lightning fatalities is different for these two regions.
In: Statistics and Probability
Joanne started with Performance Horizons five years ago, after receiving her MBA from The Wharton School. She has told people the reason she went to Wharton was to have the best opportunities at jobs that would offer quick advancement so she could rapidly rise to the top of the organization. Joanne has a keen sense of what makes organizations tick and who to go to when things need to get done. She doesn’t “waste” her time with chitchat, as she calls it. Her time is all spent on doing a good job on all her assignments and making sure she makes the right connections with the executives. Her performance has always been rated as excellent.
Which two of the four motivates Joanne the most?
|
Need |
Why? |
In: Economics
Business Week conducted a survey of graduates from 30
top MBA programs (Business Week, September 22, 2003). The
survey found that the average annual salary for male and female
graduates 10 years after graduation was $168,000 and $117,000,
respectively. Assume the population standard deviation for the male
graduates is $40,000, and for the female graduates it is
$25,000.
When calculating values for z, round to two decimal
places.
In: Economics
Artie Siegel, an MBA student, has been having problems balancing his checkbook. His monthly income is derived from a graduate research assistantship; however, he also makes extra money in most months by tutoring undergraduates in their quantitative analysis course. His historical chances of various income levels are shown in the following table: Monthly Income* ($) Probability 350 0.40 400 0.20 450 0.30 500 0.10 *Assume that this income is received at the beginning of each month. Siegel’s expenditures also vary from month to month, and he estimates that they will follow this distribution: Monthly Expenses ($) Probability 300 0.10 400 0.45 500 0.30 600 0.15 He begins his final year with $600 in his checking account. Simulate the entire year (12 months) on the next page and discuss Siegel’s financial picture, i.e., will he be able to keep his head above water--(out of debt)? What is his expected average profit for the 12 months? Use the random numbers below. Random numbers for Income and Expenses Income .85 .54 .73 .95 .9 .19 .81 .2 .76 .55 .57 .01 Expenses .99 .44 .01 .80 .95 .72 .75 .16 .32 .57 .31 .32
Please complete in excel and attached excel screenshot! Much appreciated!
In: Statistics and Probability
Woodcock graduated from law school and finished his MBA in 1983. His student loans came due nine months later. Because he was a part-time student until 1990, he requested that payment be deferred, which the lender incorrectly approved. Because he was not in a degree program, payment should not have been deferred under the terms of the loan. Woodcock filed for bankruptcy in 1992, more than seven years after the loans first became due. Hence, that debt would be discharged unless there was an applicable suspension of the repayment period. Do you feel this mistaken extension is an applicable suspension? Should his student loans be discharged through filing for bankruptcy? [Woodcock v. Chemical Bank, 144 F.3d 1340 (10th Cir. 1998).]
In: Accounting
After graduating from college with your MBA, you decide to take your grandma’s secret cinnamon roll recipe and open up a bakery. You grew up devouring your grandma’s rolls, and you have convinced her to give you the secret. You are confident that your bakery will be the next big hit in the fast-food business. You take out a business loan for the maximum amount your bank will give you, hire several employees, and open a beautiful store that is designed to look like your grandma’s home. After eight months of hard work and diligence, you are crushed when you realize that your store manager has been stealing from you. One of your recent hires tells you that during her last shift, the manager, Stephanie, voided a sale of two-dozen cinnamon rolls, stamped the receipt as a return, and pocketed the money. Stephanie warned the new hire not to say anything and told her she deserved the money because she didn’t get paid enough. Encouraged by your open- door policy, the employee confides in you.
1. Identify what symptoms this fraud will generate. In addition, identify how this fraud will directly affect your revenue and inventory accounts.
2. Explain the steps you should take to search for each symptom you identified in part (1). In particular, describe the computer queries and transactions that should be searched to find this fraud.
3. After you have identified several symptoms, do you have enough evidence to prove that she is guilty? What other evidence is required or useful in this case?
4. Besides searching for symptoms of the fraud, what other investigative steps can be taken to elicit a confession or otherwise prove the fraud?
5. What steps could have been taken to prevent this fraud from occurring in the first place?
In: Accounting
Sheila Goodman recently received her MBA from the Harvard
Business School. She has joined the family business, Goodman
Software Products Inc., as Vice-President of Finance. She believes
in adjusting projects for risk. Her father is somewhat skeptical
but agrees to go along with her. Her approach is somewhat different
than the risk-adjusted discount rate approach, but achieves the
same objective. She suggests that the inflows for each year of a
project be adjusted downward for lack of certainty and then be
discounted back at a risk-free rate. The theory is that the
adjustment penalty makes the inflows the equivalent of riskless
inflows, and therefore a risk-free rate is justified.
A table showing the possible coefficient of variation for an
inflow and the associated adjustment factor is shown next:
| Coefficient of Variation |
Adjustment Factor |
||||
| 0 | − | 0.25 | 0.90 | ||
| 0.26 | − | 0.50 | 0.80 | ||
| 0.51 | − | 0.75 | 0.70 | ||
| 0.76 | − | 1.00 | 0.60 | ||
| 1.01 | − | 1.25 | 0.50 | ||
Assume a $125,000 project provides the following inflows with the
associated coefficients of variation for each year.
| Year | Inflow | Coefficient of Variation | ||||
| 1 | $ | 38,700 | 0.15 | |||
| 2 | 51,200 | 0.23 | ||||
| 3 | 78,200 | 0.48 | ||||
| 4 | 58,900 | 0.75 | ||||
| 5 | 66,500 | 1.05 | ||||
Use Appendix B for an approximate answer but calculate your final
answer using the formula and financial calculator methods.
a. Fill in the table below: (Do not round
intermediate calculations. Round "Adjustment Factor" answers to 2
decimal places and other answers to the nearest whole
dollar.)
b-1. If the risk-free rate is 6 percent, compute
the net present value of the adjusted inflows. (Negative
amount should be indicated by a minus sign. Do not
round intermediate calculations and round your answer to 2 decimal
places.)
In: Statistics and Probability
Sheila Goodman recently received her MBA from the Harvard
Business School. She has joined the family business, Goodman
Software Products Inc., as Vice-President of Finance. She believes
in adjusting projects for risk. Her father is somewhat skeptical
but agrees to go along with her. Her approach is somewhat different
than the risk-adjusted discount rate approach, but achieves the
same objective. She suggests that the inflows for each year of a
project be adjusted downward for lack of certainty and then be
discounted back at a risk-free rate. The theory is that the
adjustment penalty makes the inflows the equivalent of riskless
inflows, and therefore a risk-free rate is justified.
A table showing the possible coefficient of variation for an
inflow and the associated adjustment factor is shown next:
| Coefficient of Variation |
Adjustment Factor |
||||
| 0 | − | 0.25 | 0.90 | ||
| 0.26 | − | 0.50 | 0.80 | ||
| 0.51 | − | 0.75 | 0.70 | ||
| 0.76 | − | 1.00 | 0.60 | ||
| 1.01 | − | 1.25 | 0.50 | ||
Assume a $185,000 project provides the following inflows with the
associated coefficients of variation for each year.
| Year | Inflow | Coefficient of Variation | ||||
| 1 | $ | 32,000 | 0.16 | |||
| 2 | 59,600 | 0.20 | ||||
| 3 | 77,000 | 0.48 | ||||
| 4 | 62,200 | 0.72 | ||||
| 5 | 67,000 | 1.14 | ||||
Use Appendix B for an approximate answer but calculate your final
answer using the formula and financial calculator methods.
a. Fill in the table below: (Do not round
intermediate calculations. Round "Adjustment Factor" answers to 2
decimal places and other answers to the nearest whole
dollar.)
b-1. If the risk-free rate is 7 percent, compute
the net present value of the adjusted inflows. (Negative
amount should be indicated by a minus sign. Do not
round intermediate calculations and round your answer to 2 decimal
places.)
b-2. Should this project be accepted?
Yes
No
In: Finance