Tag: Dissertation and Thesis Services

QUESTION THREE Investment Decision Criteria/Capital Budgeting
You are a top finance graduate from Federation University. Your friend Alex is a management graduate and therefore has little chance of finding a job outside the fast-food industry. Luckily for him, Alex’s rich uncle has left him $20 million in his will. Having been a management student, Alex partied while you studied. In fact, he took no courses in finance and thus knows nothing about investment. In a drunken stupor, late one Saturday night Alex watched an interview with the Guru Yogi Berra. The Guru claims material wealth lies beneath the ground in Dromana. It is clear from the tone of the interview, the title of the documentary was “An interview with a crackpot,” that the interviewer and the “experts” on the show think the Guru is insane. However, Alex believes in the Guru because his management training taught him to believe in gurus (Peter Drucker, for example). Alex decides to use his new-found fortune to prove the Guru correct, making himself one of the richest people in Australia in the process!
Alex knows you have superior intellect (otherwise you wouldn’t be in Finance) and asks you to work out the details. After some discreet investigation you find the homes and land can be purchased for $15 million. In addition, the local council insists on a $4 million fee for defacing the views from the city. Finally, it costs $1 million to lease the mining equipment.
You and Alex meet with the Guru and after several hours of meditation the Guru provides you with estimated annual after-tax cash-flows. These cash-flows are in millions and are provided to you below in table 2-1. Alex thinks the cash-flows sound fantastic (compared to a career flipping burgers. Who wouldn’t), you however decide to check the numbers using what you have learned in Finance. You believe the project is very risky and therefore in consultation with Westpac Bank Risk Management team decide to use a discount rate of 23%. Should Alex invest his fortune based on the crackpot’s ideas?
Calculate the Net Present Value and the Internal Rate of Return. Would your decision change if you used a discount rate of
18%
10%.
Table 2-1 Projected Cash Flows
Year 1 Projected Cashflow $1,500,000
Year 2 $3,278,000
Year 3 $5,000,000
Year 4 $6,450,000
Year 5 $2,500,000
Year 6 $2,500,000
Year 7 $2,500,000
Year 8 $2,500,000
Year 9 $2,500,000
Year 10 $2,500,000
Year 11 Projected Cashflow $52,500,000
Year 12 $2,500,000
Year 13 $2,500,000
Year 14 $2,500,000
Year 15 $2,500,000
Year 16 $2,500,000
Year 17 $2,500,000
Year 18 $2,500,000
Year 19 $2,500,000
Year 20 $2,500,000
Attachments:
3179793_1_3086870-1-f005389c-513a-4be1-8430-2078b4949b26.png
3179793_2_3086870-2-f86c3515-f288-4b3a-a614-ec26e7eb1edf.png

The data collection process is always a fundamental element in empirical research.
For this week’s Key Concept Exercise you will shape your research idea within the context of a quantitative research framework, analyse the optimal data collection process that could align to your research idea, explore the strengths and weaknesses of the chosen technique, and finally critically discuss the potential validity and reliability of the data that you plan to collect.
In approximately 500 words, explain how your research ideas could take the shape of a quantitative research project.
In formulating your Key Concept Exercise, consider the following questions:
What specific methods would you implement for data collection and analysis?
What type of data would you need to tackle the research question(s)?
What are the strengths and weaknesses of the research design?
Can you recommend ways to maximise the validity and reliability of the data to be collected?

I have received this dissertation proposal from you previously, and I want this as my dissertation in 20000 words.
I need it in two parts of 10000 words each, so that I can show it to my mentor and get back to you for any kind of changes if required or suggested from my mentor for the second half of my dissertation.
I kindly request you to appoint a good expert on this topic.
I want my 1st part of dissertation to submitted before 14TH July.
The dissertation must include :
– Historic demonstration ( Double tax agreement, tax information exchange agreement, etc.)
– Taxes Consolidation Act (1997) Ireland. ( Income tax, Corporate Tax, Capital gains tax, etc.)
I hope you pick the best expert who has good knowledge in this area.
Attachments:
3196840_1_423540-103841-1-tm-c-updated-solution–211218—1-.docx

In approximately 500 words, explain how your research ideas could take the shape of a qualitative research project.
In formulating your Key Concept Exercise, consider the following questions:
Which qualitative methodology would be most suited to your research paradigm?
In what way could you contextualise your research from a qualitative perspective?
Which sampling methods would be most valuable for your data collection?
What are the key differences in planning your research from a quantitative and qualitative perspective?

QUANTITATIVE RESEARCH DESIGN.
The Topic is on Health Care Studies – It could be a trial of a new drug. It could also be related to a test of Chemotherapy drug. The study could also be related to IQ Test.
Write your mock Concept Paper using the template found shown below. Follow the template guidelines.
1. Write an Introduction describing your topic, Maximum 2 pages.
2. Write the Statement of the Problem section, Approximately 300 words.
3. Describe the Purpose of the Study. Include the results of your power analysis. One paragraph.
4. State your Research Question and your null and alternative hypotheses. Be sure that your question aligns with your purpose.
5. Write a Brief Review of the Literature.
6. Complete the Research Methods section (including the Operational Definition of Variables, Constructs, and Measurement sub sections). Follow the instructions in the template. Be sure to:
a. Identify the strengths and weaknesses of your envisioned design and methods.
b. Identify threats to validity and how your design will address them.
c. Justify why your chosen design and methods are more appropriate for your research question than alternatives you have considered.
d. Define the constructs you will measure and what you will do in order to determine how to operationalize them.
e. Describe the sample you propose to study and its characteristics; this should include, but is not limited, to: 1) age; 2) gender; 3) ethnicity; 4) additional cultural factors; and 5) education level. Justify your choice of sample.
f. Describe your method of sampling.
g. Describe the type of data you need to collect and how you will collect it.
h. Briefly describe any ethical issues you foresee with your study. Make a preliminary assessment of the level of risk associated with participation in your study that might need to be raised with the Institutional Review Board.
i. Describe and justify how you will analyze your data and the descriptive statistics you will present.
j. Explain how you conducted your power analysis.
k. Describe how you will handle your data, check for accuracy etc.
l. What problems do you foresee in implementing the design? How might you prevent them?
Support your paper with a minimum of 7 resources. The resources are to be from peer reviewed literature, not more than 5 years old.
Length: 12-15 pages not including title and reference pages
References: Minimum of 7 scholarly resources.
Table of Contents
Introduction ……………………………………………………………. 1
Statement of the Problem ………………………………………… 1
Purpose of the Study ………………………………………………. 3
Research Questions ……………………………………………….. 4
Hypotheses …………………………………………………………… 5
Brief Review of the Literature ………………. …………………. 5
Theme/Sub-Topic 1 ………………………………. ………………. 7
Theme/Sub-Topic 2 ………………………………………………… 7
Summary …………………………… …………………………….. 7
Research Method ……………………………. ……………………. 7
Operational Definition of Variables …. …………………10
Measurement ……………………………… …………………… 11
Summary …………………………………….. …………………. 12
References ………………………………………………………….. 13
Appendix A Using the Microsoft Word References and
Bibliography Tools ………………………………………………… 14
Appendix B Working with Lists of Document Contents….17
Appendix C Working with Figures and Tables …………….18
List of Tables
Table 1. This is a Sample Table ………………………………. 19
Attachments:
3235872_1_Transtutors-Week-8-July-15-2019.docx

Topic: Analyze Samples, Power Analysis, and Design Sensitivity
Instructions of Doing the Assignment
Download the G*Power software – See Attached Instructions in the last 2 pages, of how to down load the G Power Software, and then use the software to submit the following
1. Calculate the sample size needed given these factors:
· one-tailed t-test with two independent groups of equal size
· small effect size (see Piasta, S.B., & Justice, L.M., 2010)
· alpha =.05
· beta = .2
· Assume that the result is a sample size beyond what you can obtain. Use the compromise function to compute alpha and beta for a sample half the size. Indicate the resulting alpha and beta. Present an argument that your study is worth doing with the smaller sample (include peer-reviewed journal articles as needed to support your response).
2. Calculate the sample size needed given these factors:
· ANOVA (fixed effects, omnibus, one-way)
· small effect size
· alpha =.05
· beta = .2
· 3 groups
· Assume that the result is a sample size beyond what you can obtain. Use the compromise function to compute alpha and beta for a sample approximately half the size. Give your rationale for your selected beta/alpha ratio. Indicate the resulting alpha and beta. Give an argument that your study is worth doing with the smaller sample.
3. In a few sentences, describe two designs that can address your research question. The designs must involve two different statistical analyses. For each design, specify and justify each of the four factors and calculate the estimated sample size you’ll need. Give reasons for any parameters you need to specify for G*Power.
Support your paper with a minimum of 5 peer reviewed scholarly resources, Professional articles, or Books. The resources cannot be more than 5 years old, latest publication is 2014
Length: 5-7 pages not including title and reference pages.
G*Power: Statistical Power Analyses for Windows and Mac
G*Power is a tool to compute statistical power analyses for many different
t
tests,
F
tests, ?2 tests,
z
tests and some exact tests. G*Power can also be used to compute effect sizes and to display graphically the results of power analyses.
Screenshots (click to enlarge)
Main Window
Main Window (Table)
Power Plot
Power Plot (Table)
Register
Whenever we find a problem with G*Power we provide an update as quickly as we can. We will inform you about updates if youclick here and add your e-mail address to our mailing list. We will only use your e-mail address to inform you about updates. We will not use your e-mail address for other purposes. We will not give your e-mail address to anyone else. You can withdraw your e-mail address from the mailing list at any time.
Help
Download the G*Power manual (PDF)
Download the Short Tutorial of G*Power (PDF) written for G*Power 2 but still useful as an introduction
For more help, see the papers about G*Power in the References section below.
References
If you use G*Power for your research, then we would appreciate your including one or both of the following references (depending on what is appropriate) to the program in the papers in which you publish your results:
Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences.
Behavior Research Methods
,
39
, 175-191. Download PDF
Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses.
Behavior Research Methods
,
41
, 1149-1160. Download PDF
GPower is free and may be downloaded from http://www.psycho.uni-duesseldorf.de/aap/projects/gpower. Note that this tutorial refers to GPower Version 2. By now, Version 3 (Faul, Erdfelder, Lang, & Buchner, 2007) is already available via the same weblink. Version 3 comprises an extended functionality which might be worthwhile for the interested reader.
Attachments:
3225524_1_Transtutors-week-7-July-11-2019.docx

In approximately 550 words
Critically reflect on the types of qualitative data collection methods that you could use in your research, considering their benefits and limitations.
Consider how you might overcome the challenges that you may encounter when implementing research using qualitative methodology, including the management and analysis of data.

1. You are the financial manager for a recreation center that has signed an option to purchase new elliptical machines for $22,000 in two years. If you have an investment opportunity that guarantees 7% interest, how much must you invest to have the necessary funds to purchase the elliptical machines?

in 600 word
Providing constructive critique on the scope and significance of mixed methods designs
Highlighting possible ethical issues and feasibility constraints with the collection of mixed methods data
Explaining the most important barriers to integration of qualitative and quantitative d

The key purpose is to investigate the problem by using the advantages of both quantitative and qualitative methods to enrich the approach. However, at the same time, it requires knowledge of both methods of data collection and analysis and a good reason for the choices made.
For this week’s Key Concept Exercise, you will consider whether a mixed method would fit (or not) your research topic-problem and the anticipated barriers to data integration.
To prepare for this Key Concept Exercise:
Read the Required Learning Resources for
Week 8
.
Return to your chosen research topic-problem identified in
Week 1
(as subsequently amended) and consider whether a mixed methods approach would be appropriate and why
In approximately 550 words, explain why mixed methods might fit (or not) your research project.
In formulating your Key Concept Exercise, consider the following questions:
What are the strengths and weaknesses of your chosen method?
Critically analyse the reasons why you would proceed (or not) with the adoption of mixed methods
What are the barriers to data integration which you would expect at this stage of the research?
What are the potential limitations and problems associated with adopting a mixed methods approach for a relatively short research project – for example, a dissertation of 9 months’ duration?