代做BUSMGT 712 Group Project Quarter Three 2024代写留学生Matlab语言程序

日期：2024-08-19 12:22

BUSMGT 712

Group Project (30%)

Quarter Three 2024

This Group Project contains:	Group Presentation and Group Project Report
Due dates:	Friday, 6 September 2024, 11:59 pm, NZT.
Weighting:	This group project is worth 30% of your final grade.
Submission instructions:	Submit your (1) report, (2) your Excel file (this should contain the data you worked on and your calculations), (3) Team Task Allocation System Form and (4) Meeting Minutes to Canvas. The Excel file will not be marked and does not contribute to your grade, but wereserve the right to check if the information in the report corresponds to the information in the file.
Word count of Group Report:	The stipulated word count for the report is 2000 words (±10%, line spacing 1.5, font and size: Times New Roman 12). The word count includes tables but excludes the cover page, the executive summary, the reference list and any appendices. Your executive summary should be on the cover page and should not exceed 200 words.
Format of Group Report:	Please use a professional report structure that includes an executive summary, introduction, main body, conclusion (insights from the findings and recommendations to the policymakers), and reference list. Organise your work using headings and sub- headings, and carefully check your grammar and punctuation. You can find more detailed information about the structure of a report from here:https://www.grammarly.com/blog/how-to-write-a-report/
Graphs, tables and charts:	Graphs, tables and charts should be produced using Excel or other    statistical software. Please note that graphs, tables and charts should be selected and created carefully, and when included, must be discussed in your presentation.
The Use of Generative AI Tools	1.   You are allowed to use generative artificial intelligence text and art generation software, such as ChatGPT and DALL.E 2, in this assignment. However, you must reference any use of such tools.

	2.   For guidance on how to reference AI generated content in your writing, visit Quick©ite (or by this link: https://www.cite.auckland.ac.nz/2.html). 3. Please be aware of the limitations of Gen AI tools. Please refer to the detailed guide provided at the end of these assignment instructions.
References:	You should use a minimum of 4 references in APA 7 format to support your analysis.
Submission policy:	Please take note that you are responsible for any possible technical issues that may occur while submitting your assignment. We recommend that you submit your assignment at least half an hour before the deadline to allow for any unforeseen issues. The assignment instructions have been available since Week 3, and the submission link will open 48 hours before the deadline. This should provide ample time for you to complete the assignment and submit it on time. The deadline for submission is 11:59 pm on September 6th, 2024.  Please be aware that if you submit even one second late, it will be considered a late submission and subject to a late submission penalty. We recommend that you prepare for any potential technical issues and treat the deadline is 11:58 pm to ensure that your submission is on time. Any late submissions will be subject to a 5% mark reduction. The submission link will close at 9 am, September 9th, 2024,so if  you fail to submit your report by this time, it will be considered a   missed assignment and you will receive a zero for this assignment. Please note that no exceptions will be made.
This assignment links to the following learning outcomes:	LO1: Evaluate and select suitable models and quantitative tools to analyse business problems. LO2: Apply the skills necessary for the analysis of small to medium data sets of moderate complexity. LO3: Extract relevant patterns from sets of data to transform. into information and interpret the results effectively. LO4: Communicate findings, results and recommendations from    business analysis models verbally and in a written manner to the audience from a variety of backgrounds.

And helps to develop these Graduate

Attributes:

LO5: Apply the concepts, tools and practices, including data collection techniques, to contribute to the managerial decision-making process.

1.   Disciplinary knowledge and practice

4.   Communication.

Assignment Brief/Context

You are a business analyst working for a leading independent New Zealand business consultancy firm – “712 Consultants” .

Your manager, Dr Wang, has assigned you the task of studying New Zealand's food export performance over the past six years, both prior to and after the COVID-19 pandemic. You're expected to analyse the impact of COVID-19 on New Zealand's food export items. For this task, Dr Wang has supplied a United Nations COMTRADE dataset. This dataset encompasses all records, detailing commodity items and their corresponding trade values, pertaining to New Zealand's exports to its trade partners. It's important to clarify that the years 2020, 2021, and 2022 are designated as the years of the COVID-19 pandemic. Furthermore,  for  precision  in  terminology,  it's  more  appropriate  to  refer  to  it  as  a 'pandemic' rather than an 'epidemic'.

The detailed data is available in an Excel file named “TradeData.xlsx”, which has been uploaded to module ‘B: Important Information & Assessments for This Course ’ on Canvas.

Detailed Tasks

Dr Wang would like you to analyse the WHOLE dataset provided using regression as well as descriptive methods of analysis. Therefore, your analysis should include a brief analysis of descriptive statistics (such as mean, median, standard deviation, correlation, distribution, confidence interval, hypothesis testing etc.) as well as visualisations of the data and regression results as the key focus.

Detailed Tasks

You are required to answer the following questions by using regressions:

1.   What factors affect New Zealand's food exports? And how?

2.   Can Free Trade Agreement (FTA) help New Zealand export more food to its trade partners?

3.   How has COVID-19 affected New Zealand exports? (e.g. overall vs. each export item)

4.  Can FTA offset the negative effect of COVID-19 on New Zealand exports? Or Can FTA boost the positive effect of COVID-19 on New Zealand exports? If so, how?

You can construct a single regression model to answer all four questions, or, alternatively, build separate models to address each question individually.

For this assignment, you should collect additional variables (e.g. dummy of FTA, GDP of each country, etc.) to answer the above questions. Furthermore, you may also derive new variables (e.g. GDP per capita=GDP/Population Size) by using the existing and collected additional data if needed.

Your manager would like you to address the questions above by submitting a 2000-word written report.

Guide on the Usage of Generative AI for Group Assignment

As you embark on this group assignment, it is crucial to integrate Generative AI tools

ethically, responsibly, and in alignment with the academic standards of our university. Here are some guidelines:

1) Understanding AI in Coursework: Recognise that AI tools, such as ChatGPT, can enhance learning and analytical capabilities. However, they should not replace your  critical thinking or understanding. Use these tools as aids, not as your sole source of information.

2) Academic Honesty: Maintain integrity and honesty in your submissions. If you utilise Generative AI tools, you must clearly declare their use in your work. This includes stating how these tools were used and the prompts provided to generate responses. Ensure that your use of AI aligns with the task's educational goals and does not breach any academic integrity policies. Please detail this information within an appendix to your report. This appendix should serve as a clear record of the role Generative AI played in your work, supporting the integrity and transparency of your research process.

3) Data Sensitivity and Privacy: Be cautious about the information you input into any  AI tool. Assess the sensitivity of databased on university guidelines and ensure that you do not use restricted data within these platforms. Public data can be utilised more freely, but always consider privacy and ethical implications.

4) Creative and Critical Engagement: Utilise AI to foster creativity and critical

thinking within your group. Challenge the output provided by AI tools, verify its accuracy, and use it as a starting point for deeper analysis rather than as an end result.

5) Reporting and Reflection: Incorporate an appendix into your report, specifically

dedicated to detailing how AI tools were employed throughout your assignment. This appendix should comprehensively discuss the roles these tools played, highlighting the advantages and challenges you encountered, as well as the ethical considerations you considered important. Provide concrete examples to illustrate how AI contributed to your research findings and analytical processes. This approach will ensure clarity    and maintain the academic integrity of your work, allowing readers to understand the  extent and impact of AI on your project.

6) Academic Honesty Declaration: Each group member must agree to an academic honesty declaration, acknowledging that the work submitted is original, without unauthorised assistance, and respects the university's guidelines on AI usage.

By following these guidelines, you ensure that your use of Generative AI tools is responsible, ethical, and in line with academic standards, while also enhancing your learning experience and the quality of your work. Remember, these tools are here to augment your education, not to replace the hard work and critical thinking that form. the cornerstone of academic achievement.

Please include the Academic Honesty Declaration as the second page of your team's report, immediately following the cover page. If your report includes a Table of Contents, place  the  declaration  before  it. The inclusion of this declaration in your report will be interpreted as all team members collectively agreeing to its terms. It will be considered as if each team member has personally signed the declaration, affirming your team's commitment to upholding academic integrity throughout your project.