Questions
This question is concerned with an extension to the flashcard problem you studied in Block 3...

This question is concerned with an extension to the flashcard problem you studied in Block 3 Part 2.

In the original flashcard problem, a user can ask the program to show an entry picked randomly from a glossary. When the user presses return, the program shows the definition corresponding to that entry. The user is then given the option of seeing another entry or quitting.

A sample session might run as follows:

Enter s to show a flashcard and q to quit: s Define: word1 Press return to see the definition definition1 Enter s to show a flashcard and q to quit: s Define: word3 Press return to see the definition definition3 Enter s to show a flashcard and q to quit: q

The flashcard program is required to be extended as follows:

Box 1 – Specification of extended problem

As well as being offered a choice between seeing a flashcard or quitting, the user is offered the option of seeing a definition first.

If the user chooses this option, the program picks an entry at random from the glossary and shows the definition for that entry. It then asks the user what word is being defined. When the user presses return the program shows the word concerned.

The user is then given the option of seeing another flashcard, seeing another definition, or quitting.

Apart from this the program behaves like the original version

A sample dialogue might run as follows: (the additional dialogue is underlined.)

Enter s to show a flashcard, d to see a definition, or q to quit: s Define: word3 Press return to see the definition definition3 Enter s to show a flashcard, d to see a definition, or q to quit: d What word is defined by: definition2 Press return to see the word word2 Enter s to show a flashcard, d to see a definition, or q to quit: q

Box 2 – Keeping a notebook

As you work through part (a) of this question you should keep a notebook. You will need this for your answer to part (a)(vi). This should be very brief: it is simply a record of your personal experience while working on the task and what you feel you have learned from it.

In your notebook we suggest that you record the following information

How A brief description of how you went about the task.
Resources What documentation if any you consulted (including course materials and any online sources) and which you found most useful. There is no need for full references, just note the source, and in the case of the course materials what the relevant part and section or activity was.
Difficulties Anything you found difficult about the task, and how you dealt with it.
Lessons learnt Anything you learned from the task that would be useful if you faced a similar problem in the future.

There is more than one way of solving the extended problem but the approach we ask you to follow for this TMA starts by addressing the sub-problem of showing the definition for a random entry and, after the user enters return, showing the word being defined.

  • a.

    • i.Begin by writing an algorithm for the subproblem, show definition, described in the middle paragraph of Box 1 above, and repeated here for convenience:

      … the program picks an entry at random from the glossary and shows the definition for that entry. It then asks the user what word is being defined. When the user presses return the program shows the word concerned.

      At this stage no looping is involved and the steps of the algorithm only need to do what is asked for in the paragraph above and nothing more.

      The steps of your algorithm must be written in English and not use any Python code. The algorithm should be high-level and at a similar level of detail to the solution to Activity 2.24 of Block 3 Part 2, where an algorithm is given for show flashcard.

    • ii.Next you will translate your algorithm into Python code.

      Begin with the first complete version of the flashcard program, a copy of which is included in the download for this TMA as Q2.py. Save a copy this program as Q2_OUCU.py (where OUCU is your OU computer username, e.g. abc123).

      In the next few question parts, you will be amending this file. You will only have to submit the final amended file (as per the instructions in Part v).

      Add a new function show_definition() to the program, which translates into Python the steps of the algorithm you wrote in Part i. You should insert the new function just after the show_flashcard() function.

      Make sure you write a suitable docstring for the function.

      Include your code that defines the function show_definition() in your Solution document.

    • iii.When you have written the show_definition() function test it by calling it several times in the shell. Remember to first run the program and only after that use the shell to call the function.

      Debug the code and/or algorithm as necessary. If you need to make modifications you should record them in your notebook.

      Copy and paste an example test into your Solution Document. This should demonstrate a definition being shown, the user being asked to enter return, and then the program showing the word concerned.

      Alternatively, if you were unable to get the function working correctly, you should still paste in an example test, and explain briefly how the results are different from what you were expecting.

    • iv.Now you need to make changes to the part of the program that implements the interactive loop, so the user is offered the additional option of seeing a definition, and if they choose this option the show_definition() function is called.

      Once you have made the changes, run the whole program. Copy a test dialogue into your Solution document to show the user selecting the option to see a definition, then being asked what word it defines, and then been shown the word concerned.

      Include your amended code for the interactive loop in your Solution document.

      Alternatively, if you were unable to produce a test dialogue because you could not get the program to function as intended, you should briefly explain how a successful test dialogue would look.

    • v.Next modify the docstring for the program as a whole to reflect the changes you have made.

      Save your final version of the Python program and submit it as Q2_OUCU.py (where OUCU is your OU computer username, e.g. abc123) in your TMA zip file.

      Also paste a copy of your final Python program into your solution document as text.

    • vi.Finally, copy the notebook you have kept for this question into the corresponding part of your Solution Document.

  • b.Suggest one further small extension or improvement of your own to the modified flashcard program. Outline what the extension does and include any additional algorithm step(s) needed, either in the functions, or in the interactive loop. Note that you are only required to describe the extension, as specified above, and do not need to implement it in code.

In: Computer Science

The researcher from Scenario I decides to compare a second dose-effect curve with carboxycotton to determine...

The researcher from Scenario I decides to compare a second dose-effect curve with carboxycotton to determine if the novel opioid has the capacity to induce tolerance (i.e., a rightward shift in the dose-effect function; a larger dose is required to produce the same effect). The researcher takes the carboxycotton-treated mice from the first experiment (subjects 6-10 from above) and administers cumulative doses of carboxycotton. He then measures tail withdrawal latency as before. On the following day, he administers cumulative doses of carboxycotton again to determine if tolerance development occurred. The results of this experiment are presented in the table below.

Carboxycotton ED50 values

Subject

ED50 (mg/kg) from first dose-effect curve

ED50 (mg/kg) from second dose-effect curve

6

0.10

0.25

7

0.35

0.15

8

0.80

0.75

9

0.95

1.00

10

0.50

0.63

  1. Write the name of the specific statistical test that is appropriate for these data: ______________________

  1. Perform the test you identified inquestion 7 above using the statistical software (e.g., GraphPad Prism, Excel, R) of your choice. Be sure to perform a two-tailed test. Please round all answers to two decimal places, where appropriate.

  1. Report the mean of differences between dose-effect curves: _______________
  2. Report the standard deviation of differences between dose-effect curves: __________________
  3. Report the standard error of the mean of differences between dose-effect curves: __________________
  4. Report the results of the statistical test in the spaces below:

                        t( ____) = _____, p = _______

  1. Report the 95% confidence interval (LL,UL) for the difference between dose-effect curves:

______________________

  1. Compare the results from the 95% confidence interval in question 9 with the results from the statistical test in question 8. Is there sufficient evidence to reject the H0 and claim that that there is a potency difference between the first dose-effect curve and the second dose-effect curve in carboxycotton-treated mice?

Yes or No (circle one)

In: Statistics and Probability

Our textbook specifically discusses our country's lack of preparedness for a pandemic in Chapter 13, page...

Our textbook specifically discusses our country's lack of preparedness for a pandemic in Chapter 13, page 274 under the "Epidemics, Ethics, and Public Health" heading. Much has been discussed by public health officials in articles and news stories in the past few months regarding the lack of official expert forums, epidemic protocols, and medical supplies prepared for such a disaster as we are now experiencing, albeit at a global level. As aptly predicted in the quote below, the US medical community was waylaid by the effects of the global pandemic caused by Coronavirus.

"In the United States, response to the influenza pandemics across all 50 states involved the development of emergency policies and plans for future influenza outbreaks; however, only 6 states had written guidelines for ethical decision-making in such emergencies. Scholars have noted that this low number is concerning because of the ethical responsibilities around medication rationing, isolation, and quarantine that often occur during pandemics. To better prepare for future disease outbreaks, governments should have predetermined ethical decision-making procedures for public health agencies to follow in emergencies." (Morrison & Furlong, 2019).

Please consider the following in your discussion board post:

  1. Read the following article discussing the ethical and legal responsibilities to our communities in light of the novel Coronavirus pandemic: "Responding to COVID‐19: How to Navigate a Public Health Emergency Legally and Ethically."
  2. Create a discussion board post expounding on one way the textbook chapter mentions a learned public health strategy (from past epidemics or pandemics) or suggested overall changes to epidemic/pandemic preparedness that the US did not take into practice (prior to the start of the Coronavirus pandemic) based on the article above. Discuss any personal experience you have had working in the healthcare industry during this time; please be sure to observe all HIPAA laws regarding patient identifiers or your specific facility name.

In: Nursing

9) Congratulations, you have graduated and scored a job at one of the Charleston area’s largest...

9) Congratulations, you have graduated and scored a job at one of the Charleston area’s largest consulting firms. You have just finished typical first day stuff (choosing your screensaver, arranging your cubicle, etc) when your new supervisor walks in. “Listen –new person, I have to go to a company shareholders pat ourselves on the back meeting this afternoon that just came up three months ago. I scheduled a meeting with a new client today and you need to brief the client on what regulations apply to their site. They own a large industrial/agricultural facility on a few hundred acres. They want to redevelop part of it and keep part of it operating as is; part has existing contamination; part has new chemical and biotechnology operations; part has day to day operations that result in hazardous as well as municipal solid waste. You need to brief them on what three (3) major federal regulations apply to their site and what those regulations mean. Youalso need to let them know specifically which regulations apply to their different on site problems and operations–here is a list of those operations or problems.” Thedescriptions of the specific regulations need to be very detailed.

The list: •Developing a genetically engineered strain of soybeans to resist cold and draught

•Groundwater contamination on a closed parcel of land from TCE contamination in 1945

•Soil contamination from 1980 –all carcinogens –wants to redevelop the site for new use

•Solid waste from the buildings, machine shop, and motor pool

•Hazardous waste (generated daily) from three ethylene crackers

•Low level hazardous waste from two ammonia production facilities

•Final research and development of a novel agricultural pesticide that willlikely hit the market next year•Production of a new food additive/preservative

•Production of a new cosmeticoThe company also wants to know under what act they can be fined if their production disposal practices and storage practices are not appropriate

In: Civil Engineering

Prompt. In the last few weeks, the Federal Reserve has introduced a series of unconventional monetary...

Prompt. In the last few weeks, the Federal Reserve has introduced a series of unconventional monetary policy tools—lending facilities, essentially, designed to ease credit strains that firms and municipalities will likely experience as the U.S. economy is buffeted by the novel coronavirus pandemic. The “Fed Brief” that accompanies this prompt outlines these new unconventional tools. Section 13(3) of the Federal Reserve Act grants the central bank the authority, with the approval of the Secretary of the Treasury, to implement these tools in emergency situations—what the Act identifies as “unusual and exigent” circumstances.
The governors of the Federal Reserve reason that these unconventional actions are in the best interest of the economy. Nevertheless, the governors are concerned that these actions, which have attracted the attention of journalists, politicians, and pundits alike, could ultimately politicize the Federal Reserve and, in doing so, compromise its ability to achieve its long-run monetary policy goals. Consider, for example, the recent Wall Street Journal article, by renowned financial journalist Greg Ip, that accompanies this prompt. Thus, the governors—Michelle Bowman, Lael Brainard, Richard Clarida, Jerome Powell, and Randal Quarles—ask you to assess how the central bank’s recent unconventional actions might affect its monetary policy outcomes in the long run. Specifically, the governors ask you to answer the following three questions.


1. In general, would the politicization of the central bank render monetary policy more or less time consistent? Please defend your reasoning.

2. Central banks endeavor to maintain time-consistent monetary policies, because time-inconsistent monetary policies tend to deliver unwanted inflation outcomes in the long run; why do time-inconsistent monetary policies underperform in this way?

3. Finally, provide an example of how the Federal Reserve and, perhaps, Congress could preserve (or, if necessary, restore) the credibility of the central bank’s commitment to maintain low and stable inflation. Again, please defend your reasoning.

In: Economics

1. One of the biggest news stories of the past few months is the outbreak of...

1. One of the biggest news stories of the past few months is the outbreak of COVID-19 (novel coronavirus), first in China and then throughout the world. Numerous pharmaceutical companies have begun to develop COVID-19 vaccines. If all goes well, it will be at least a year before a vaccine is developed, tested, and approved by the FDA. However, one company—Moderna Therapeutics—has beaten all of the other companies in the race so far and is the first to advance to Phase 1 clinical trials.

Suppose that Moderna is the first company to gain approval for a COVID-19 vaccine in the United States. The monthly demand for COVID-19 vaccines in the U.S. is Q = 16 – (P/6) where Q is measured in millions of vials and P is measured in dollars. Moderna’s total cost of producing Q vials of vaccine is 2Q2 and Moderna’s marginal cost is 4Q.

1.A As the only company allowed to sell COVID-19 vaccines in the U.S., what price would Moderna charge for its vaccine to maximize profit? How many vials of vaccine would Moderna sell each month? What are Moderna’s monthly profits from the sale of COVID-19 vaccine?

1.B How many vials of vaccine would be produced and what price per vial would be charged if this were a perfectly competitive market?

1.C (Vaccines, like the COVID-19 vaccine being developed by Moderna, provide benefits beyond the benefits received by those vaccinated. For instance, as more people are vaccinated, the odds of disease transmission to vulnerable groups who cannot be vaccinated (e.g., infants) are reduced. Suppose the marginal social benefit of the COVID-19 vaccine is 110 – 6Q, which is greater than the marginal private benefit. Given this, what role do you think the federal government should play in vaccine development, if any, beyond the determination of safety and effectiveness associated with vaccine approval?

In: Economics

Engineering Ethics Course Codes of Ethics Assignment Review the Intel Pentium Chip case (Case below) and...

Engineering Ethics Course

Codes of Ethics Assignment


Review the Intel Pentium Chip case (Case below) and answer following questions:


1. Which statements in IEEE’s code of ethics do you believe Intel violated in this case? For each statement you select, justify your selection with an explanation.


2. Given that Intel perceived that the chip flaw was insignificant, and that flaws are likely to occur in early versions of a chip, what approach do you think Intel should have followed as they put the chips on sale?

The Intel Pentium® Chip Case

In late 1994, the media began to report that there was a flaw in the new Pentium microprocessor produced by Intel. The microprocessor is the heart of a personal computer and controls all of the operations and calculations that take place. A flaw in the Pentium was especially significant, since it was the microprocessor used in 80% of the personal computers produced in the world at that time.

Apparently, flaws in a complicated integrated circuit such as the Pentium, which at the time contained over one million transistors, are common. However, most of the flaws are undetectable by the user and don’t affect the operation of the computer. Many of these flaws are easily compensated for through software. The flaw that came to light in 1994 was different: It was detectable by the user. This particular flaw was in the floating-point unit (FPU) and caused a wrong answer when double-precision arithmetic, a very common operation, was performed.

A standard test was widely published to determine whether a user’s microprocessor was flawed. Using spreadsheet software, the user was to take the number 4,195,835, multiply it by 3,145,727, and then divide that result by 3,145,727. As we all know from elementary math, when a number is multiplied and then divided by the same number, the result should be the original number. In this example, the result should be 4,195,835. However, with the flawed FPU, the result of this calculation was 4,195,579 [Infoworld, 1994]. Depending on the application, this six-thousandths-of-a-percent error might be very significant.

At first, Intel’s response to these reports was to deny that there was any problem with the chip. When it became clear that this assertion was not accurate, Intel switched its policy and stated that although there was indeed a defect in the chip, it was insignificant and the vast majority of users would never even notice it. The chip would be replaced for free only for users who could demonstrate that they needed an unflawed version of the chip [Infoworld, 1994]. There is some logic to this policy from Intel’s point of view, since over two million computers had already been sold with the defective chip.

Of course, this approach didn’t satisfy most Pentium owners. After all, how can you predict whether you will have a future application where this flaw might be significant? IBM, a major Pentium user, canceled the sales of all IBM computers containing the flawed chip. Finally, after much negative publicity in the popular personal computer literature and an outcry from Pentium users, Intel agreed to replace the flawed chip with an unflawed version for any customer who asked to have it replaced.

It should be noted that long before news of the flaw surfaced in the popular press, Intel was aware of the problem and had already corrected it on subsequent versions. It did, however, continue to sell the flawed version and, based on its early insistence that the flaw did not present a significant problem to users, seemingly planned to do so until the new version was available and the stocks of the flawed one were exhausted. Eventually, the damage caused by this case was fixed as the media reports of the problem died down and as customers were able to get unflawed chips into their computers. Ultimately, Intel had a write-off of 475 million dollars to solve this problem.

What did Intel learn from this experience? The early designs for new chips continue to have flaws, and sometimes these flaws are not detected until the product is already in use by consumers. However, Intel’s approach to these problems has changed. It now seems to feel that problems need to be fixed immediately. In addition, the decision is now based on the consumer’s perception of the significance of the flaw, rather than on Intel’s opinion of its significance.

Indeed, similar flaws were found in 1997 in the early versions of the Pentium II and Pentium Pro processors. This time, Intel immediately confirmed that the flaw existed and offered customers software that would correct it. Other companies also seem to have benefited from Intel’s experience. For example, Intuit, a leading manufacturer of tax preparation and financial software, called a news conference in March of 1995 to apologize for flaws in its TurboTax software that had become apparent earlier in that year. In addition to the apology, they offered consumers replacements for the defective software.

In: Electrical Engineering

observation_date FEDFUNDS 1954-07-01 0.80 1954-08-01 1.22 1954-09-01 1.06 1954-10-01 0.85 1954-11-01 0.83 1954-12-01 1.28 1955-01-01 1.39...

observation_date FEDFUNDS
1954-07-01 0.80
1954-08-01 1.22
1954-09-01 1.06
1954-10-01 0.85
1954-11-01 0.83
1954-12-01 1.28
1955-01-01 1.39
1955-02-01 1.29
1955-03-01 1.35
1955-04-01 1.43
1955-05-01 1.43
1955-06-01 1.64
1955-07-01 1.68
1955-08-01 1.96
1955-09-01 2.18
1955-10-01 2.24
1955-11-01 2.35
1955-12-01 2.48
1956-01-01 2.45
1956-02-01 2.50
1956-03-01 2.50
1956-04-01 2.62
1956-05-01 2.75
1956-06-01 2.71
1956-07-01 2.75
1956-08-01 2.73
1956-09-01 2.95
1956-10-01 2.96
1956-11-01 2.88
1956-12-01 2.94
1957-01-01 2.84
1957-02-01 3.00
1957-03-01 2.96
1957-04-01 3.00
1957-05-01 3.00
1957-06-01 3.00
1957-07-01 2.99
1957-08-01 3.24
1957-09-01 3.47
1957-10-01 3.50
1957-11-01 3.28
1957-12-01 2.98
1958-01-01 2.72
1958-02-01 1.67
1958-03-01 1.20
1958-04-01 1.26
1958-05-01 0.63
1958-06-01 0.93
1958-07-01 0.68
1958-08-01 1.53
1958-09-01 1.76
1958-10-01 1.80
1958-11-01 2.27
1958-12-01 2.42
1959-01-01 2.48
1959-02-01 2.43
1959-03-01 2.80
1959-04-01 2.96
1959-05-01 2.90
1959-06-01 3.39
1959-07-01 3.47
1959-08-01 3.50
1959-09-01 3.76
1959-10-01 3.98
1959-11-01 4.00
1959-12-01 3.99
1960-01-01 3.99
1960-02-01 3.97
1960-03-01 3.84
1960-04-01 3.92
1960-05-01 3.85
1960-06-01 3.32
1960-07-01 3.23
1960-08-01 2.98
1960-09-01 2.60
1960-10-01 2.47
1960-11-01 2.44
1960-12-01 1.98
1961-01-01 1.45
1961-02-01 2.54
1961-03-01 2.02
1961-04-01 1.49
1961-05-01 1.98
1961-06-01 1.73
1961-07-01 1.17
1961-08-01 2.00
1961-09-01 1.88
1961-10-01 2.26
1961-11-01 2.61
1961-12-01 2.33
1962-01-01 2.15
1962-02-01 2.37
1962-03-01 2.85
1962-04-01 2.78
1962-05-01 2.36
1962-06-01 2.68
1962-07-01 2.71
1962-08-01 2.93
1962-09-01 2.90
1962-10-01 2.90
1962-11-01 2.94
1962-12-01 2.93
1963-01-01 2.92
1963-02-01 3.00
1963-03-01 2.98
1963-04-01 2.90
1963-05-01 3.00
1963-06-01 2.99
1963-07-01 3.02
1963-08-01 3.49
1963-09-01 3.48
1963-10-01 3.50
1963-11-01 3.48
1963-12-01 3.38
1964-01-01 3.48
1964-02-01 3.48
1964-03-01 3.43
1964-04-01 3.47
1964-05-01 3.50
1964-06-01 3.50
1964-07-01 3.42
1964-08-01 3.50
1964-09-01 3.45
1964-10-01 3.36
1964-11-01 3.52
1964-12-01 3.85
1965-01-01 3.90
1965-02-01 3.98
1965-03-01 4.04
1965-04-01 4.09
1965-05-01 4.10
1965-06-01 4.04
1965-07-01 4.09
1965-08-01 4.12
1965-09-01 4.01
1965-10-01 4.08
1965-11-01 4.10
1965-12-01 4.32
1966-01-01 4.42
1966-02-01 4.60
1966-03-01 4.65
1966-04-01 4.67
1966-05-01 4.90
1966-06-01 5.17
1966-07-01 5.30
1966-08-01 5.53
1966-09-01 5.40
1966-10-01 5.53
1966-11-01 5.76
1966-12-01 5.40
1967-01-01 4.94
1967-02-01 5.00
1967-03-01 4.53
1967-04-01 4.05
1967-05-01 3.94
1967-06-01 3.98
1967-07-01 3.79
1967-08-01 3.90
1967-09-01 3.99
1967-10-01 3.88
1967-11-01 4.13
1967-12-01 4.51
1968-01-01 4.60
1968-02-01 4.71
1968-03-01 5.05
1968-04-01 5.76
1968-05-01 6.11
1968-06-01 6.07
1968-07-01 6.02
1968-08-01 6.03
1968-09-01 5.78
1968-10-01 5.91
1968-11-01 5.82
1968-12-01 6.02
1969-01-01 6.30
1969-02-01 6.61
1969-03-01 6.79
1969-04-01 7.41
1969-05-01 8.67
1969-06-01 8.90
1969-07-01 8.61
1969-08-01 9.19
1969-09-01 9.15
1969-10-01 9.00
1969-11-01 8.85
1969-12-01 8.97
1970-01-01 8.98
1970-02-01 8.98
1970-03-01 7.76
1970-04-01 8.10
1970-05-01 7.94
1970-06-01 7.60
1970-07-01 7.21
1970-08-01 6.61
1970-09-01 6.29
1970-10-01 6.20
1970-11-01 5.60
1970-12-01 4.90
1971-01-01 4.14
1971-02-01 3.72
1971-03-01 3.71
1971-04-01 4.15
1971-05-01 4.63
1971-06-01 4.91
1971-07-01 5.31
1971-08-01 5.56
1971-09-01 5.55
1971-10-01 5.20
1971-11-01 4.91
1971-12-01 4.14
1972-01-01 3.50
1972-02-01 3.29
1972-03-01 3.83
1972-04-01 4.17
1972-05-01 4.27
1972-06-01 4.46
1972-07-01 4.55
1972-08-01 4.80
1972-09-01 4.87
1972-10-01 5.04
1972-11-01 5.06
1972-12-01 5.33
1973-01-01 5.94
1973-02-01 6.58
1973-03-01 7.09
1973-04-01 7.12
1973-05-01 7.84
1973-06-01 8.49
1973-07-01 10.40
1973-08-01 10.50
1973-09-01 10.78
1973-10-01 10.01
1973-11-01 10.03
1973-12-01 9.95
1974-01-01 9.65
1974-02-01 8.97
1974-03-01 9.35
1974-04-01 10.51
1974-05-01 11.31
1974-06-01 11.93
1974-07-01 12.92
1974-08-01 12.01
1974-09-01 11.34
1974-10-01 10.06
1974-11-01 9.45
1974-12-01 8.53
1975-01-01 7.13
1975-02-01 6.24
1975-03-01 5.54
1975-04-01 5.49
1975-05-01 5.22
1975-06-01 5.55
1975-07-01 6.10
1975-08-01 6.14
1975-09-01 6.24
1975-10-01 5.82
1975-11-01 5.22
1975-12-01 5.20
1976-01-01 4.87
1976-02-01 4.77
1976-03-01 4.84
1976-04-01 4.82
1976-05-01 5.29
1976-06-01 5.48
1976-07-01 5.31
1976-08-01 5.29
1976-09-01 5.25
1976-10-01 5.02
1976-11-01 4.95
1976-12-01 4.65
1977-01-01 4.61
1977-02-01 4.68
1977-03-01 4.69
1977-04-01 4.73
1977-05-01 5.35
1977-06-01 5.39
1977-07-01 5.42
1977-08-01 5.90
1977-09-01 6.14
1977-10-01 6.47
1977-11-01 6.51
1977-12-01 6.56
1978-01-01 6.70
1978-02-01 6.78
1978-03-01 6.79
1978-04-01 6.89
1978-05-01 7.36
1978-06-01 7.60
1978-07-01 7.81
1978-08-01 8.04
1978-09-01 8.45
1978-10-01 8.96
1978-11-01 9.76
1978-12-01 10.03
1979-01-01 10.07
1979-02-01 10.06
1979-03-01 10.09
1979-04-01 10.01
1979-05-01 10.24
1979-06-01 10.29
1979-07-01 10.47
1979-08-01 10.94
1979-09-01 11.43
1979-10-01 13.77
1979-11-01 13.18
1979-12-01 13.78
1980-01-01 13.82
1980-02-01 14.13
1980-03-01 17.19
1980-04-01 17.61
1980-05-01 10.98
1980-06-01 9.47
1980-07-01 9.03
1980-08-01 9.61
1980-09-01 10.87
1980-10-01 12.81
1980-11-01 15.85
1980-12-01 18.90
1981-01-01 19.08
1981-02-01 15.93
1981-03-01 14.70
1981-04-01 15.72
1981-05-01 18.52
1981-06-01 19.10
1981-07-01 19.04
1981-08-01 17.82
1981-09-01 15.87
1981-10-01 15.08
1981-11-01 13.31
1981-12-01 12.37
1982-01-01 13.22
1982-02-01 14.78
1982-03-01 14.68
1982-04-01 14.94
1982-05-01 14.45
1982-06-01 14.15
1982-07-01 12.59
1982-08-01 10.12
1982-09-01 10.31
1982-10-01 9.71
1982-11-01 9.20
1982-12-01 8.95
1983-01-01 8.68
1983-02-01 8.51
1983-03-01 8.77
1983-04-01 8.80
1983-05-01 8.63
1983-06-01 8.98
1983-07-01 9.37
1983-08-01 9.56
1983-09-01 9.45
1983-10-01 9.48
1983-11-01 9.34
1983-12-01 9.47
1984-01-01 9.56
1984-02-01 9.59
1984-03-01 9.91
1984-04-01 10.29
1984-05-01 10.32
1984-06-01 11.06
1984-07-01 11.23
1984-08-01 11.64
1984-09-01 11.30
1984-10-01 9.99
1984-11-01 9.43
1984-12-01 8.38
1985-01-01 8.35
1985-02-01 8.50
1985-03-01 8.58
1985-04-01 8.27
1985-05-01 7.97
1985-06-01 7.53
1985-07-01 7.88
1985-08-01 7.90
1985-09-01 7.92
1985-10-01 7.99
1985-11-01 8.05
1985-12-01 8.27
1986-01-01 8.14
1986-02-01 7.86
1986-03-01 7.48
1986-04-01 6.99
1986-05-01 6.85
1986-06-01 6.92
1986-07-01 6.56
1986-08-01 6.17
1986-09-01 5.89
1986-10-01 5.85
1986-11-01 6.04
1986-12-01 6.91
1987-01-01 6.43
1987-02-01 6.10
1987-03-01 6.13
1987-04-01 6.37
1987-05-01 6.85
1987-06-01 6.73
1987-07-01 6.58
1987-08-01 6.73
1987-09-01 7.22
1987-10-01 7.29
1987-11-01 6.69
1987-12-01 6.77
1988-01-01 6.83
1988-02-01 6.58
1988-03-01 6.58
1988-04-01 6.87
1988-05-01 7.09
1988-06-01 7.51
1988-07-01 7.75
1988-08-01 8.01
1988-09-01 8.19
1988-10-01 8.30
1988-11-01 8.35
1988-12-01 8.76
1989-01-01 9.12
1989-02-01 9.36
1989-03-01 9.85
1989-04-01 9.84
1989-05-01 9.81
1989-06-01 9.53
1989-07-01 9.24
1989-08-01 8.99
1989-09-01 9.02
1989-10-01 8.84
1989-11-01 8.55
1989-12-01 8.45
1990-01-01 8.23
1990-02-01 8.24
1990-03-01 8.28
1990-04-01 8.26
1990-05-01 8.18
1990-06-01 8.29
1990-07-01 8.15
1990-08-01 8.13
1990-09-01 8.20
1990-10-01 8.11
1990-11-01 7.81
1990-12-01 7.31
1991-01-01 6.91
1991-02-01 6.25
1991-03-01 6.12
1991-04-01 5.91
1991-05-01 5.78
1991-06-01 5.90
1991-07-01 5.82
1991-08-01 5.66
1991-09-01 5.45
1991-10-01 5.21
1991-11-01 4.81
1991-12-01 4.43
1992-01-01 4.03
1992-02-01 4.06
1992-03-01 3.98
1992-04-01 3.73
1992-05-01 3.82
1992-06-01 3.76
1992-07-01 3.25
1992-08-01 3.30
1992-09-01 3.22
1992-10-01 3.10
1992-11-01 3.09
1992-12-01 2.92
1993-01-01 3.02
1993-02-01 3.03
1993-03-01 3.07
1993-04-01 2.96
1993-05-01 3.00
1993-06-01 3.04
1993-07-01 3.06
1993-08-01 3.03
1993-09-01 3.09
1993-10-01 2.99
1993-11-01 3.02
1993-12-01 2.96
1994-01-01 3.05
1994-02-01 3.25
1994-03-01 3.34
1994-04-01 3.56
1994-05-01 4.01
1994-06-01 4.25
1994-07-01 4.26
1994-08-01 4.47
1994-09-01 4.73
1994-10-01 4.76
1994-11-01 5.29
1994-12-01 5.45
1995-01-01 5.53
1995-02-01 5.92
1995-03-01 5.98
1995-04-01 6.05
1995-05-01 6.01
1995-06-01 6.00
1995-07-01 5.85
1995-08-01 5.74
1995-09-01 5.80
1995-10-01 5.76
1995-11-01 5.80
1995-12-01 5.60
1996-01-01 5.56
1996-02-01 5.22
1996-03-01 5.31
1996-04-01 5.22
1996-05-01 5.24
1996-06-01 5.27
1996-07-01 5.40
1996-08-01 5.22
1996-09-01 5.30
1996-10-01 5.24
1996-11-01 5.31
1996-12-01 5.29
1997-01-01 5.25
1997-02-01 5.19
1997-03-01 5.39
1997-04-01 5.51
1997-05-01 5.50
1997-06-01 5.56
1997-07-01 5.52
1997-08-01 5.54
1997-09-01 5.54
1997-10-01 5.50
1997-11-01 5.52
1997-12-01 5.50
1998-01-01 5.56
1998-02-01 5.51
1998-03-01 5.49
1998-04-01 5.45
1998-05-01 5.49
1998-06-01 5.56
1998-07-01 5.54
1998-08-01 5.55
1998-09-01 5.51
1998-10-01 5.07
1998-11-01 4.83
1998-12-01 4.68
1999-01-01 4.63
1999-02-01 4.76
1999-03-01 4.81
1999-04-01 4.74
1999-05-01 4.74
1999-06-01 4.76
1999-07-01 4.99
1999-08-01 5.07
1999-09-01 5.22
1999-10-01 5.20
1999-11-01 5.42
1999-12-01 5.30
2000-01-01 5.45
2000-02-01 5.73
2000-03-01 5.85
2000-04-01 6.02
2000-05-01 6.27
2000-06-01 6.53
2000-07-01 6.54
2000-08-01 6.50
2000-09-01 6.52
2000-10-01 6.51
2000-11-01 6.51
2000-12-01 6.40
2001-01-01 5.98
2001-02-01 5.49
2001-03-01 5.31
2001-04-01 4.80
2001-05-01 4.21
2001-06-01 3.97
2001-07-01 3.77
2001-08-01 3.65
2001-09-01 3.07
2001-10-01 2.49
2001-11-01 2.09
2001-12-01 1.82
2002-01-01 1.73
2002-02-01 1.74
2002-03-01 1.73
2002-04-01 1.75
2002-05-01 1.75
2002-06-01 1.75
2002-07-01 1.73
2002-08-01 1.74
2002-09-01 1.75
2002-10-01 1.75
2002-11-01 1.34
2002-12-01 1.24
2003-01-01 1.24
2003-02-01 1.26
2003-03-01 1.25
2003-04-01 1.26
2003-05-01 1.26
2003-06-01 1.22
2003-07-01 1.01
2003-08-01 1.03
2003-09-01 1.01
2003-10-01 1.01
2003-11-01 1.00
2003-12-01 0.98
2004-01-01 1.00
2004-02-01 1.01
2004-03-01 1.00
2004-04-01 1.00
2004-05-01 1.00
2004-06-01 1.03
2004-07-01 1.26
2004-08-01 1.43
2004-09-01 1.61
2004-10-01 1.76
2004-11-01 1.93
2004-12-01 2.16
2005-01-01 2.28
2005-02-01 2.50
2005-03-01 2.63
2005-04-01 2.79
2005-05-01 3.00
2005-06-01 3.04
2005-07-01 3.26
2005-08-01 3.50
2005-09-01 3.62
2005-10-01 3.78
2005-11-01 4.00
2005-12-01 4.16
2006-01-01 4.29
2006-02-01 4.49
2006-03-01 4.59
2006-04-01 4.79
2006-05-01 4.94
2006-06-01 4.99
2006-07-01 5.24
2006-08-01 5.25
2006-09-01 5.25
2006-10-01 5.25
2006-11-01 5.25
2006-12-01 5.24
2007-01-01 5.25
2007-02-01 5.26
2007-03-01 5.26
2007-04-01 5.25
2007-05-01 5.25
2007-06-01 5.25
2007-07-01 5.26
2007-08-01 5.02
2007-09-01 4.94
2007-10-01 4.76
2007-11-01 4.49
2007-12-01 4.24
2008-01-01 3.94
2008-02-01 2.98
2008-03-01 2.61
2008-04-01 2.28
2008-05-01 1.98
2008-06-01 2.00
2008-07-01 2.01
2008-08-01 2.00
2008-09-01 1.81
2008-10-01 0.97
2008-11-01 0.39
2008-12-01 0.16
2009-01-01 0.15
2009-02-01 0.22
2009-03-01 0.18
2009-04-01 0.15
2009-05-01 0.18
2009-06-01 0.21
2009-07-01 0.16
2009-08-01 0.16
2009-09-01 0.15
2009-10-01 0.12
2009-11-01 0.12
2009-12-01 0.12
2010-01-01 0.11
2010-02-01 0.13
2010-03-01 0.16
2010-04-01 0.20
2010-05-01 0.20
2010-06-01 0.18
2010-07-01 0.18
2010-08-01 0.19
2010-09-01 0.19
2010-10-01 0.19
2010-11-01 0.19
2010-12-01 0.18
2011-01-01 0.17
2011-02-01 0.16
2011-03-01 0.14
2011-04-01 0.10
2011-05-01 0.09
2011-06-01 0.09
2011-07-01 0.07
2011-08-01 0.10
2011-09-01 0.08
2011-10-01 0.07
2011-11-01 0.08
2011-12-01 0.07
2012-01-01 0.08
2012-02-01 0.10
2012-03-01 0.13
2012-04-01 0.14
2012-05-01 0.16
2012-06-01 0.16
2012-07-01 0.16
2012-08-01 0.13
2012-09-01 0.14
2012-10-01 0.16
2012-11-01 0.16
2012-12-01 0.16
2013-01-01 0.14
2013-02-01 0.15
2013-03-01 0.14
2013-04-01 0.15
2013-05-01 0.11
2013-06-01 0.09
2013-07-01 0.09
2013-08-01 0.08
2013-09-01 0.08
2013-10-01 0.09
2013-11-01 0.08
2013-12-01 0.09
2014-01-01 0.07
2014-02-01 0.07
2014-03-01 0.08
2014-04-01 0.09
2014-05-01 0.09
2014-06-01 0.10
2014-07-01 0.09
2014-08-01 0.09
2014-09-01 0.09
2014-10-01 0.09
2014-11-01 0.09
2014-12-01 0.12
2015-01-01 0.11
2015-02-01 0.11
2015-03-01 0.11
2015-04-01 0.12
2015-05-01 0.12

Using the data in the Federal Funds Rate tab in the data file, perform the following analysese.

a) Create a new column in the data file with the 5 period moving average series of the Federal Funds rate.

b) Create a new column in the data file with the expontential smoothing series with W=0.25.

c) Plot the three columns against the date.

d) Fit an Autoregressive model to this data, assume that the true model has only one lag in it.

In: Statistics and Probability

2016 Comprehensive Tax Return Complete the federal tax return below for the current tax year listed...

2016 Comprehensive Tax Return
Complete the federal tax return below for the current tax year listed above.. Use Form 1040, Schedule A, and Schedule B to complete this return. You can print these forms off of the I
RS website by going to IRS website and search for the forms.
Jim Wallace (age 40) is a single taxpayer, and he lives at 1234 Hallmark Way, Warner Robins, GA 31088. His Social Security number is 555-94-9358. Jim’s earnings and withholdings as a manager of Best Buy for 2016 are:
Earnings from Best Buy $150,000
Federal Income Tax $24,000
State income tax withheld $0
Jim’s other income includes interest on a savings account at Robins Federal Credit Union for $10,075.
Jim also received a Form 1098 Mortgage Interest Statement from Wells Fargo showing mortgage interest paid on his house in the amount of $20,000 for 2016.
Jim pays his ex-wife $3,000 per month. When their 12-year old child (in the wife’s custody) reaches 18, the payments reduce to $1,500 per month. His ex-wife’s Social Security number is 554-44-5555.
During the year, Jim paid the following amounts:
Credit card interest $1,800
Auto loan interest $4,500
Auto insurance $900
Property taxes on a personal residence $6,500
States and local sales tax paid in 2016 $4,000
Blue Cross Health insurance premiums $2,000
Other medical expenses $800
Income tax preparation fee $500
Charitable Contributions:
Boy Scouts $600
St. Matthews Church $400
UGA Pharmacy School $30,000
Georgia Republican Party $300
American Red Cross $50

In: Accounting

1. ​The term _____ applies to either middle childhood or preadolescence. 2. Adequate nutrition, especially eating...

1. ​The term _____ applies to either middle childhood or preadolescence.

2. Adequate nutrition, especially eating breakfast, has been associated with _____.

3. Children with a BMI-for-age that is greater than or equal to the 85th percentile but less than or equal to the 94th percentile are classified as _____.

4. ​During middle childhood and preadolescence, the child is responsible for how much he/she eats.  

5. When parents try to control their children’s intake, especially by restricting their access to food, children become _____.

6. ​The recommended total fiber intake for a 13-year-old boy is _____ g/day.

7. The average annual growth during the school years is _____ pounds in weight.

8. The average annual growth during the school years is _____ inches in height.

9. ​A child’s statute, or standing height, should be measured without shoes.  

10. Based on the DRIs, the recommended protein intake for school-age children is _____ gram of protein per kg body weight per day for 4- to 13-year-old girls and boys.

11. Calorie/protein calculations

12. Which factor is the most significant predictor of childhood obesity?

13. Which health consequence has the strongest association with an increased BMI-for-age?

14. According to the AHA and AAP, children over 2 years of age should limit _____ to <7 percent of total calories per day.

15. Which term applies to such sedentary activities as watching TV or playing video games on a computer?

16. According to the DRIs, the AMDR for fat is _____ percent of energy for children 4–18 years of age.​

17. Which food would be the best choice for a parent trying to increase fiber in her or his child’s diet?

18. It is recommended that children engage in at least _____ minutes of physical activity every day..

19. The AAP encourages the use of _____ for hydration in most instances.

20. Characteristics of overweight children is _____.

In: Nursing