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Assessment
Faculty of Information Technology
FIT4005 / FIT5125
Research Methods for IT
Semester 1 2024
Assignment 3: Weeks 8 & 9
Value
This assignment is worth 20% of the total marks for FIT4005 / FIT5125
Assignment due date
Thursday, 9-May-2024 at 4:30pm (Week 10)
Submission method
Submit to Moodle:
a separate PDF for the exercises for Week 8 & 9.
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Assignment Criteria
This assignment relates to the material studied in Weeks 8 & 9.
Week 8 Descriptive Statistics Week 9 Inferential Experiments
Weighting: 20 marks Weighting: 20 marks
See page 3. See Page 5.
This is an individual assignment; it must be your own work and expressed in your own words.
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Marking guides to help you position your work are available on Moodle.
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There are specific requirements for file names on your submission (see the instructions for each
exercise).
Assessment criteria:
1. The following criteria will be used to determine the score for the assignment:
Content and completeness of tasks
Clarity and relevance of content
Level of critical analysis
Logical structure and organization of ideas
Use of references (where appropriate)
Format, grammar, spelling etc.
2. Note that plagiarism detection procedures may be applied to each submission. See the University rules
and regulations regarding plagiarism and resulting penalties. Any case of plagiarism detected will mean
automatic failure of the entire assignment. Note that even where TurnitIn reports a non-trivial similarity
score, this may simply be the result of text that is part of the original question or answer template (this
is not a problem).
3. Late submissions will incur a penalty of 10% per day, see:
https://publicpolicydms.monash.edu/Monash/documents/1935752
4. Submissions (Word and PDF) should include:
Student's name
Student ID number
Tutor's name
Studio name
5. Monash policy on Special Consideration is available at:
https://www.monash.edu/exams/changes/special-consideration
6. In line with Monash policy we aim to mark and return work within 10 working days of submission where
possible.
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Assessed Exercise (Week 8)
"Telling a data story"
Telling a coherent story with your data is a core part of the research process. Statistics can be used in myriad
ways to describe any given dataset, so it is important to use the appropriate measures and visualisations to
enrich and provide context to a narrative of your data. Although in a perfect world we would ask a question
and then design a process to capture data that answered that question, in reality we often have to make use
of 'secondary' data, or data captured previously.
In this assignment, you will tell a story about some public data using the methods you have learned
about.
Complete the following:
1. Identify a data source from one of the following open data repositories:
https://www.data.vic.gov.au/
https://www.abs.gov.au/statistics/
https://uis.unesco.org
https://ec.europa.eu/eurostat/databrowser/
https://opendata.cityofnewyork.us/
2. Formulate a research question that you want to ask of this data - for example "What is the relationship
between the value of imported goods and cost of living?" (max. 50 words)
3. Select 2 appropriate descriptive metrics (e.g. mean) that tell you something about the data, and
calculate those metrics on your selected data, using a tool of your choice. Present the fields from the
dataset used and the resulting calculated values (max. 50 words)
4. Create an appropriate visualisation to help a reader understand what you are saying about the data.
The visualisation should be fully annotated.
5. Write a short narrative description of your findings as they relate to you research question, referencing
both your chosen metrics and visualisation. (max. 150 words)
What to Submit
1. A PDF document, named "STUDENT-ID-Week8.pdf" containing the responses to the assignment and a CSV or JSON file
containing the dataset you used.
How Much to Write
There is a strict word limit for your answers detailed above. For submission over the specified word limits, only the parts of
answers within the word limit will be awarded marks.
What to Know
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This is an individual exercise that forms part of the assessment for the unit, you must therefore work alone and follow Monash
University’s policies, procedures and regulations relating academic integrity, plagiarism and collusion (see Moodle).
Tutors may not provide support to you when you are completing this assessed exercise.
Tutors will provide feedback on any studio activities (during the studio) and this should be of help to you in completing the
exercise.
The aim of this assessment is to evaluate your understanding of basic statistics, and to assess your ability to correctly apply
basic statistical computations.
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Assessed Exercise (Week 9)
"Working with hypotheses"
In this exercise you will formulate a hypothesis, prepare a plan of your study (including statistical testing) and
justify it, including the potential limitations of it. Consider the topic of cyber security. Imagine you are asked to
develop this research area further.
Complete the following:
1. Propose a hypothesis. It should be something you can realistically test using one or more of the
statistical tests covered in this course. It can concern any topic or natural phenomena which relates in
some way to the survey topic. (max. 50 words)
2. Write down the null hypothesis. (max. 50 words)
3. Write down the independent and dependent variables as well as at least three confounding variables.
(max. 50 words)
4. Imagine you had a budget of up to 1000AUD (in addition to up to 100 hours of your time to conduct the
study). Explain what data you will collect to investigate this hypothesis and how you would obtain the
data in a practical fashion. (max. 100 words)
5. What statistical test(s) do you expect to conduct to test your hypothesis. Provide your assumptions of
the data and why such tets(s) are appropriate. (max. 150 words)
6. What are the limitations of your study? Write a paragraph that explains these limitations as well as
potential future investigations you might conduct. (max. 200 words)
7. Present a different narrative that could have been presented from your results, highlighting how the
data needs to be selected, methods changed, or process otherwise manipulated to support this
different interpretation. (max. 50 words)
What to Submit
1. A PDF containing your answers to the questions named "STUDENT-ID-Week9.pdf".
How Much to Write
There is a strict word limit for your answers detailed above. For submission over the specified word limits, only the parts of
answers within the word limit will be awarded marks.
What to Know
This is an individual exercise that forms part of the assessment for the unit, you must therefore work alone and follow Monash
University’s policies, procedures and regulations relating academic integrity, plagiarism and collusion (see Moodle).
Tutors may not provide support to you when you are completing this assessed exercise.
Tutors will provide feedback on any studio activities (during the studio) and this should be of help to you in completing the
exercise.
The aim of this assessment is to evaluate your understanding of basic statistics, and to assess your ability to correctly apply
basic statistic computations.
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