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APA STYLE – professional writer….

General Requirements for Paper:

Instructor may refuse to grade papers that do not meet the rubric requirements (grade=zero)

General format: APA documentation style

The narrative portion of the paper is a minimum of eight (8) complete pages and a maximum of twelve (12) pages.

Direct quotations from sources are discouraged as a whole.  For occasional exceptions, quotations must be presented in APA style; for quotes over 40 words, in block style (see OWL online resource).

All papers will be subject to evaluation in “Safe Assign” to check for plagiarism.

Papers will be printed in black ink using ONLYTimes New Roman or Calibri font – 12 point size

No folders or binders or covers of any type are to be used.  The paper is to have the cover page as page 1, and be stapled in the upper left corner.

Use 1″ margins, top, bottom and sides.  BE CAREFUL!  Check your margin settings as the defaut on many machines is 1.5″ on the left and right.

Late papers will be subject to a 10 point penalty for each day beyond the due date unless other arrangements have been made with the instructor before the due date.


My Evaluation Sheets that you are going to use:

1- Evaluate source 1:

Article for Evaluate 1:


2- Evaluate Source 2:

Article for Evaluate 2:


3- Evaluate Source 3:

Article for Evaluate 3:


4- Evaluate Source 4:

Article for Evaluate 4:


My Definition of Topic:


My background of Topic:


APA Style also you are going to use my sources in the above plus more sources from you… so the total of APA style sources would be 10 sources or more…


The narrative portion of the paper will be a minimum of eight pages to a maximum of twelve pages long. Students will develop a well-supported, persuasive research paper.


Please plaragism free. APA STYLE.


Use my definition of Topic and background of Topic in the papers… as same as the following examples of other people work in the following files:





3 page quick paper needed… before 6pm EST
Write a three (3) page paper in which you:

Analyze two (2) issues involved in investigating economic espionage and
trade secrets to determine the direct and indirect impact to the organization
and the security methods needed to prevent or mitigate the impact of further
Compare economic espionage to misappropriation of trade secrets to determine
which creates a greater damage to the victim. Identify potential remedies.
Describe how the investigation and prosecution of the misappropriation of a
trade secret is accomplished without divulging the trade secret.
Describe the complications introduced if the economic espionage or
misappropriation of a trade secret involved is a foreign entity.
Use at least 3 quality references in this assignment. Note: Wikipedia
and similar Websites do not qualify as quality resources.
assignment must follow these formatting requirements:
Be typed, double spaced, using Times New Roman font (size 12), with one-inch
margins on all sides; references must follow APA or school-specific format.
Check with your professor for any additional instructions.
Include a cover page containing the title of the assignment, the student’s
name, the professor’s name, the course title, and the date. The cover page and
the reference page are not included in the required page length.

Decision Making

When a decision is made to drill an exploratory oil well, company geologists and engineers are not able to measure or define specific values of factors contributing to overall profit (or loss) at the time of the decision. In addition, future events that could affect timing and/or size of projected cash flows from the prospective well (e.g., government price controls, cessation of oil imports from Iraq) cannot be reliably predicted. These risks and uncertainties have decision-makers in the oil industry relying more and more on decision analysis techniques. Chi U. Ikoku, Associate Professor and Associate Director of Drilling Research at the University of Tulsa, writes: “Decision analysis methods provide new and much more comprehensive ways to evaluate and compare the degree of risk and uncertainty associated with each [oil] investment choice. The net result is that the decision-maker is given a clearer insight of potential profitability and the likelihoods of achieving various levels of profitability than older, less formal methods of investment analysis. Because of rising drilling costs, the need to search for petroleum in deeper horizons or in remote areas of the world, increasing government control, etc., most petroleum exploration decision-makers are no longer satisfied to base decisions on experience, intuition, rules of thumb, or similar approaches. Instead, they recognize that better ways to evaluate and compare drilling investment strategies are needed. Decision analysis is fulfilling this need.” Ikoku lists several distinct advantages that decision analysis has over the less formal oil drilling decision-making techniques used in the past:
1. Decision analysis forces the decision-maker to consider all possible alternatives and their corresponding outcomes. 2. Decision analysis provides an excellent way to evaluate the sensitivity of various oil-drilling factors to overall profitability.
3. Decision analysis provides a means to compare the relative desirability of drilling prospects having varying degrees of risk and uncertainty.
4. Decision analysis is a convenient and unambiguous way to communicate judgements about risk and uncertainty.
5. Exceedingly complex oil investment options can be analyzed using decision analysis.
The decision-making technique discussed in his World Oilarticle is the expected value criterion. This procedure requires the decision-maker to assess the probability of occurrence of each possible state of nature. “Assigning probabilities of occurrence to various outcomes of a petroleum venture,” says Ikoku, “requires the cooperative judgement and skills of geologists, engineers, and geophysicists.” Some of the types of risks that oil investors commonly encounter and consequently need to assess are: risk of an exploratory or development dry well; political risk; economic risk; risk relating to future oil and gas prices; risk of storm damage to offshore installation; risk that an oil discovery will not be large enough to recover initial exploratory costs; risk of at least a given number of oil discoveries in a multi-well drilling program; environmental risk; and risk of a gambler’s ruin. Because of certain characteristics that are unique to a petroleum exploration, these state-of-nature probabilities cannot be determined exactly, and furthermore, their estimates often must be made on the basis of very little or no statistical data or experience. (Additional data can be obtained from additional wells, but, says Ikoku, ” normally, delaying decisions until there is sufficient data upon which to base probability estimates cannot be afforded.” Thus, the decision-maker usually must rely on his or her subjective judgment or past success ratios in order to assess the state-of-nature probabilities. As an illustration of how decision analysis may be applied to the petroleum industry, Ikoku presented the following example: A company is considering the purchase of 320 net acres in a proposed 640-acre oil unit.
Three decision alternatives or actions are available to the company:
a1: Participate in the unit (i.e., drill) with non-operating 50% working interest.
a2: Farm out, but retain 1/8 of 7/8 overriding royalty interest.
a3: Be carried under penalty with a back-in privilege after recovery of 150% of investment by participating parties. The possible outcomes or states of nature and their corresponding probabilities, based on detailed geological and engineering analyses of the prospect and surrounding wells, are given in Table 19.17. Since the company will base its decision on the objective variable Net Profit, the projected net profits for the action/state-of-nature combinations were determined as shown in Table 19.18
(a) Construct a payoff table for the oil-investment decision problem.
(b) Using the expected payoff criterion, which of the three alternative actions should the company accept?
(c) What is the maximin decision? The maximin dicision?
(d) Construct an opportunity loss table for the oil investment decision problem and find the minimax regret decision.
Table 19.17 state of nature= probability
Dry hole=.30
Unit produces 20000 barrels=.25
unit produces 40000 barrels=.25
unit produces 80000 barrels=.10
unit produces 100000 barrels=.10
Table 19.18
Drill/dryhole=-40000 Drill/20000=50000
Drill/40000 bbls=300000
Drill/80000 bbls=700000
farm out/dry hole=0
farm out/20000 bbls=12000
farm out/40000=60000
farm out/80000=120000
farm out/100000=130000
backinoption/dry hole=0

Object Oriented Application Development I: ITSD322 – 1304B – 01

There is no value in writing a program that does not address the needs of the client. Requirements can be gathered in many ways, but ultimately, the requirements serve to document what the application should and should not do. After the requirements are written, the application design can be prepared, followed by the actual coding. For this project, you will gain some practice in the design phase of software development by designing a program that will meet a given set of requirements.
Develop a console program that simulates a section of a restaurant menu. Each item will have a different price and your program should define at least ten (10) items. You will need to obtain an order from the user who should provide their menu selection along with quantity. The total cost for the meal must be calculated. The user will enter the amount of their payment ($10, $20, etc.). The program needs to calculate the amount due back to the user (payment minus total cost of meal).
The project instructions and deliverables are as follows:
Create a document in Word (name the design document yourName_Unit2.IP), and add the following:Title pageCourse number and nameProject nameStudent nameDateList the data items that must be stored and used by the program. Each data item should be given a name for reference. Develop a UML class diagram that illustrates the data items for your program.List the decisions the program must make. References to the data items in the previous step should be used where appropriate.Describe the flow of operation of the program by preparing pseudocode or a UML activity diagram. All key activities should be included, and references to the data items and decisions listed in the previous steps should be used.Create a zip that includes your project folder and Word document, and upload it to the course portal.

applications of discrete mathematics and statistics in IT

Explain why the given sampling method is the appropriate method to use, and show (with a counter-example) how another method would not be correct.Discuss how statistics can be misused or misleading.Provide a detailed example of the application of one of the sampling methods. Demonstrate how the sample is statistically sufficient to allow decisions to be made that would apply to the entire population.

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