FE5056QA PROBLEM SOLVING Individual assignment for NOVS 2022-
2023
Deadline: Monday 20th March 2023 by 3 pm
Module code: FE5056QA
Module title: Problem Solving: Methods and Analysis
Module leader: Julian Barnes
Assessment type: Coursework
Submission: Submit via ‘Online Submission’ You can submit your report via Turnitin from
27th February 2023. The closing date for on-line submission is Week 15: Monday 20th March
2023 at 3.00PM.
Instructions:
There are 2 parts (both mandatory) as below:
1. Prepare a research proposal as per given guidelines (60marks)
2. Perform data analysis and report your results as per given guidelines (40marks)
Word limit (Total): 2000 words (End-references and appendices are not included in the word
count.)
Assessment Criteria:
Content: relevance, focus and coverage
Reading and Research: demonstration of independent reading that includes scholarly
refereed journal articles and use of a range of sources
Format, Structure and/or Use of relevant tables, graphs and data: clear, neat, within word
limits, logic
Quality of argument: evidence of understanding, judgement, originality, logic and synthesis,
critical thinking, analysis and exposition
Quality of communication: language and clarity; bibliography and referencing; Harvard
referencing system.
Please note
Plagiarism is the act of using someone else’s words or ideas as if they are your own. In line
with university regulations, any form of plagiarism will have severe consequences. Please
make every effort to reference all sources of material in both text and reference pages.
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Part 1: Research proposal (60marks)
It should include the following sub-headings:
Title:
This should represent the content of your proposal.
Research topic:
You have to briefly explain your research topic and why it is relevant. It may be a problem
which needs a solution or a question which needs an answer or a theory which needs further
development.
Literature review:
Discuss the literature relevant to your research topic and reference them (in Harvard format).
A minimum of 5 references are needed. Explain how your topic fits in the debate. Explain
how your topic will contribute to the existing literature.
Proposed data type and collection techniques:
Explain whether you plan to use primary or secondary data. Also elaborate on the source of
the data and the proposed collection techniques which will be used to obtain the data.
Proposed methodology:
Explain your research design, the proposed methodology and the reason for choosing the
same.
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Part 2: Data analysis (40marks)
Using any data analysis tool of your choice, examine the case-study and answer the questions
below:
The Dow Jones Industrial Average (DJIA) and the Standard & Poor (S&P) 500 Index are
both used as measures of overall movement in the stock market. The DJIA is based on the
price movements of 30 large companies; the S&P 500 is an index composed of 500 stocks.
Some say the S&P 500 is a better measure of stock market performance because it is broader
based. The closing price for the DJIA and the S&P 500 for 10 weeks, beginning with
February 11,2000 are shown (Barron’s April 17, 2000)
Date | Dow Jones | S&P 500 |
11-Feb | 10425 | 1387 |
18-Feb | 10220 | 1346 |
25-Feb | 9862 | 1333 |
31-Mar | 10367 | 1409 |
10-Mar | 9929 | 1395 |
17-Mar | 10595 | 1464 |
24-Mar | 11113 | 1527 |
31-Mar | 10922 | 1499 |
7-Apr | 11111 | 1516 |
14-Apr | 10306 | 1357 |
Note: Consider DJIA as the independent variable
1. Develop a scatter diagram for these data and interpret the same.
2. Compute the sample correlation coefficient for these data.
3. Are they poorly correlated, or do they have a close association?
4. Develop the least squares estimated regression equation
5. Compute the coefficient of Determination? Would you recommend the regression model
for the purpose of estimation?
END
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