MATH1324 Introduction to Statistics Assignment 3
Final Project (Last Updated 5.7.2018)
Overview
The final assignment is simple. I want you to think of an
interesting statistical question, find some open data,
and use your knowledge gained during the course to
answer your question. This is your opportunity to
demonstrate all that you have learnt during this course.
You will be awarded (with marks) the clearer you
demonstrate your skills. This isn’t about showing off.
You won’t be rewarded for applying advanced statistical
analysis outside the course. That’s not what this course is about. This course is about asking
and answering interesting questions about the world using the fundamentals of statistics. Keep
it simple! There is only one major constraint for this course. You must use Open Data because
the aim of this assignment is turn your project into a slideshow presentation (using RMarkdown)
that you can include in an ePortfolio.
This assignment is worth 20% and must be uploaded to the Assignment 3 Turnitin link
submission by 21/10/2018.
Open Data
Assignment 3 is open-ended, but there will be one key requirement. The data to be used must
be open and ideally have a Creative Commons Licence. This will ensure you can share your
work with the anyone provided you make proper attribution. If you’re not sure if data is Open,
contact the provider, read the documentation or post on the discussion board and I will
investigate. Some open data sources are provided below, but I encourage you to find others:
○ https://www.kaggle.com
○ UCI Machine Learning Repository
○ data.gov
○ world bank
○ amazon web services
○ google data sets
○ youtube video data sets
○ analytics vidhya
○ quandl
○ driven data
○ http://www.abs.gov.au/
○ https://www.data.vic.gov.au/
○ http://www.bom.gov.au/
You can also collect your own data. If you choose to collect your own data, then explain how
you collected your data and explain the sampling method. There should be enough detail here
so that someone else could replicate your data collection.
Groups
Students are permitted to work individually or in groups of up to 3 for Assignment 3. Each
group must fill out the following form before 14/10/2018 to register their group details.
Submit the details of your group here.
Group Registration Form
All group members must submit a copy of the report! ?Group members that are not
registered or do not submit a presentation will not be acknowledged. One group member’s
submission will be marked and given feedback. It will be the responsibility of the marked group
member to share the group’s feedback with the other group members. The other group
members will receive a mark only.
Submission Instructions
The Assignment 3 presentation must be completed using the R Markdown template provided
here:
R Markdown Template - Assignment 3
Note that this is a slideshow template. The template includes basic instructions. You can read
more here.
The slideshow presentation will be in a reproducible R Markdown format with written sections, R
code and output. Presentations are limited (maximum) to 20 slides. The presentation must
be composed of the following sections. You can add more if your wish, but you must include
these sections as a minimum.
1. Presentation title and group/individual details [Plain text]: You can add the title of
your presentation and student(s) details by updating the “title” and “author” entries at the
top of the R Markdown Template.
2. RPubs link information [RPubs link]: You must also publish your presentation to
RPubs (see here) and add this RPubs link to your presentation in this section. The online
version of the presentation will be used for marking. Failure to submit your link will delay
your feedback and risk late penalties.
3. Introduction [Plain text]: A good introduction provides a brief background to the
problem, defines important terms, and leads to a strong rationale.
4. Problem Statement [Plain text]: ?State the overall problem/question driving the
investigation. Summarise how you will use statistics to solve the problem or answer your
question.
5. Data [Plain text]: If you collected your own data, ?explain how you collected your data.
There should be enough detail here so that someone else could replicate your data
collection. Explain the sampling method if known. Ensure you reference the data source
if you have used Open Data. List and explain the important variables. Explain everything
that you do to preprocess the data.
6. Descriptive Statistics and Visualisation [Plain text & R code & Output]: Summarise
the important variables in your investigation. Use visualisation to highlight interesting
features of the data and tell the overall story. Explain how you dealt with data issues (if
any), e.g. missing data and outliers.
7. Hypothesis Testing [Plain text & R code & Output]:Apply an appropriate hypothesis
test for your investigation. Ensure you state the hypotheses and check any assumptions.
Report the appropriate values and interpret the results.
8. Discussion [Plain text]: Discuss the major findings of your investigation. Discuss any
strengths and limitations. Propose directions for future investigations. This is a good
place to re-state your findings as a final conclusion. What is the one take home message
the reader should leave with?
9. References [Plain text]: Provide a list of any references you use in the presentation.
The presentation pdf must be uploaded to the Assignment 3 Turnitin link submission by
21/10/2018. You must also publish your presentation to RPubs ?(see here) and submit this
RPubs link to the google form given below:
RPubs link submission form
If you are working as a group, ONLY ONE GROUP MEMBER needs to complete this step. This
online version of the report will be used for marking. Failure to submit your link will delay your
feedback and risk late penalties.
Extensions will only be granted in accordance with the RMIT University Extension and Special
Consideration Policy. No exceptions. Assignments submitted late will be penalised (see Course
Information for further details).
Collaboration
You are permitted to discuss and collaborate on the assignment with your classmates and other
groups. However, the write-up of the presentation must be an individual/group effort.
Assignments will be submitted through Turnitin, so if you’ve copied from a fellow
classmate/group, it will be detected. It is your responsibility to ensure you do not copy or do not
allow another classmate/groups to copy your work. If plagiarism is detected, both the copier and
the student/group copied from will be responsible. It is good practice to never share assignment
files with other students/groups. You should ensure you understand your responsibilities by
reading the RMIT University website on academic integrity. Ignorance is no excuse.
Assignment 3 Marking Rubric
Criteria Not acceptable
(0)
Needs Improvement
(1)
Good
(2)
Outstanding
(3)
Introduct
ion
(15%)
No background to
investigation and/or
rationale. The aim of the
investigation was not
clear.
A simple background and
rationale to the
investigation were
provided, but it lacked
detail/clarity.
Background and rationale
driving the investigation
were provided, but some
minor details were
missing/not clear.
Background builds a
strong and interesting
rationale driving the
investigation. Important
concepts are detailed. The
reader wants to know the
answer.
Method/
Data
(15%)
The data/data collection
method was
described/poorly. The
quality and nature of the
data were unclear.
The data/data collection
method description
needed improvement.
Important insight into the
nature of the data was
missing.
The data/data collection
method was described in
detail, but some minor
aspects were not entirely
clear/correct.
The data/data collection
method was clear, concise
and detailed. The
presenters clearly had an
in-depth knowledge of the
data.
Analysis
(40%)
Major aspects of the
analysis were
inappropriate and/or
completed incorrectly.
Results of the statistical
analysis are poorly
presented and/or missing.
Results were
misinterpreted.
The analysis and
presentation of results
were mostly suitable, but
some important elements
(e.g. statistical tests,
descriptive statistics or
visualisations) were
poorly described/ and or
interpreted.
Most of the statistical tests
and summaries were
reported and interpreted
correctly. There was some
room for improvement in
the analyses selected,
reporting of results and/or
interpretations.
The analysis is justified,
assumptions checked, and
results reported clearly.
Results are presented and
summarised meticulously.
The interpretation of the
results were clearly and
accurately communicated.
Discussi
on (20%)
There was no discussion
or conclusion or the
discussion and conclusion
do not match the results.
There is no attempt to
interpret the results back
to the context of the
original investigation. The
presenter did not appear
to understand the
implications of the
investigation’s findings.
A discussion and
conclusion are presented,
however, there is a lack of
insight into the results of
the investigation. There is
either insufficient
discussion or the
discussion raises many
irrelevant points.
The results of the
investigation are
discussed in detail and an
appropriate conclusion
was reached. Minor details
could be added, or some
minor irrelevant points
were included.
The results of the
investigation are critically
analysed and a conclusion
was reached which related
back to the initial
investigation question. The
discussion is succinct and
conveys the take home
message from the
investigation.
Presenta
tion
(10%)
The presentation appears
messy, is difficult to read,
has poor
spelling/grammar, and
poor referencing. The
slide are crowded/empty.
The presentation has a
number of issues with
appearance, readability,
spelling and/or
referencing.
Overall, the presentation
appears professional and
well laid out. Only a few
minor issues with
crowding, appearance,
readability,
spelling/grammar or
referencing.http://www.6daixie.com/contents/3/1991.html
The presentation shows
considerable effort and
attention to detail. Its is
succinct and difficult to
fault.
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