# Are there differences between car park usage during school holidays and nonschool holidays? School terms go from Term 1: 29/01/18 to 29/03/18, Term 2: 16/04/18 to 29/06/18, Term 3: 16/07/18 to 21/09/18, Term 4: 08/10/18 to 21/12/18.

Requirement:
Your task is to select and apply statistical analysis techniques to examine the data and
derive some conclusions to the following questions:
1. Describe and illustrate the relevant data selected from the full dataset.
2. Are there differences between car park usage during school holidays and nonschool holidays? School terms go from Term 1: 29/01/18 to 29/03/18, Term 2:
16/04/18 to 29/06/18, Term 3: 16/07/18 to 21/09/18, Term 4: 08/10/18 to
21/12/18.
o Select the appropriate data
o Plot data using an appropriate chart
o Perform a t-test and discuss the results
o Discuss whether a t-test is appropriate for this data
3. Are there differences in the number of cars using different terminal carparks?
o Select the appropriate data
o Plot data using an appropriate chart
o Perform an ANOVA
o Based on the ANOVA result, run t-tests to confirm differences
o Discuss whether ANOVA and t-tests are appropriate for this data
The output of your analysis will be a brief report (including title, abstract, brief
introduction, results and discussion) in Springer’s Lecture Notes in Computer Science
(LNCS) format. The report should be no more than 2,000 words length (note that the
LNCS format has very wide margins) and should be submitted in PDF.

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KIT714 ICT Research Principles – Semester 2, 2019 Practical: Quantitative Research Exercise Type: In-semester (Individual assignment) Task Length: 2,000 words max Weighting: 20% of total assessment for this unit Due Date: 11:55pm, 4 Oct 2019 Submission: Completed assignments need to be uploaded to MyLO by the due date. Description: This practical task will engage students in a quantitative research exercise that will enable them to directly deploy skills, tools and techniques covered in the unit. Each student will be required to complete the exercise and prepare a written report that displays their level of research understanding and competence in quantitative data analysis and presentation of results. In this assignment, we will be conducting: An investigation into the current car parking situation at Chadstone Shopping Centre Chadstone Shopping Centre installed traffic counter devices at the entrances to the 4 carparks. The devices record the time (and date) that each car enters the carpark and have been in operation for twelve months. You have been given access to aggregate data reporting the total number of cars entering each of the four carparks each day. CSV Type Description heading Date date A date between 29/01/2018 and 28/01/2019 Day string Day of the week: Sun, Mon, Tue, Wed, Thu, Fri, Sat NE integer Number of cars parked in the Northeast carpark SE integer Number of cars parked in the Southeast carpark S integer Number of cars parked in the South carpark SW integer Number of cars parked in the Southwest carpark 1Carparks There are 4 carparks located in the Chadstone Shopping Centre Precinct. Description Label Notes Northeast NE Entrance via Middle Road Southeast SE Entrance via Capri Street South S Entrance via Castlebar Road Southwest SW Entrance via Chadstone Road Requirement: Your task is to select and apply statistical analysis techniques to examine the data and…

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KIT714 ICT Research Principles – Semester 2, 2019
Practical: Quantitative Research Exercise
Type: In-semester (Individual assignment)
Task Length: 2,000 words max
Weighting: 20% of total assessment for this unit
Due Date: 11:55pm, 4 Oct 2019
Submission: Completed assignments need to be uploaded to MyLO by the due
date.
Description: This practical task will engage students in a quantitative research
exercise that will enable them to directly deploy skills, tools and techniques covered
in the unit. Each student will be required to complete the exercise and prepare a
written report that displays their level of research understanding and competence in
quantitative data analysis and presentation of results.
In this assignment, we will be conducting:
An investigation into the current car parking situation at Chadstone
Shopping Centre
Chadstone Shopping Centre installed traffic counter devices at the entrances to the 4
carparks. The devices record the time (and date) that each car enters the carpark and
have been in operation for twelve months. You have been given access to aggregate
data reporting the total number of cars entering each of the four carparks each day.
CSV
heading Type Description
Date date A date between 29/01/2018 and 28/01/2019
Day string Day of the week: Sun, Mon, Tue, Wed, Thu, Fri, Sat
NE integer Number of cars parked in the Northeast carpark
SE integer Number of cars parked in the Southeast carpark
S integer Number of cars parked in the South carpark
SW integer Number of cars parked in the Southwest carpark
2
Carparks
There are 4 carparks located in the Chadstone Shopping Centre Precinct.
Description Label Notes
Northeast NE Entrance via Middle Road
Southeast SE Entrance via Capri Street
South S Entrance via Castlebar Road
Southwest SW Entrance via Chadstone Road
Requirement:
Your task is to select and apply statistical analysis techniques to examine the data and
derive some conclusions to the following questions:
1. Describe and illustrate the relevant data selected from the full dataset.
2. Are there differences between car park usage during school holidays and nonschool holidays? School terms go from Term 1: 29/01/18 to 29/03/18, Term 2:
16/04/18 to 29/06/18, Term 3: 16/07/18 to 21/09/18, Term 4: 08/10/18 to
21/12/18.
o Select the appropriate data
o Plot data using an appropriate chart
o Perform a t-test and discuss the results
o Discuss whether a t-test is appropriate for this data
3. Are there differences in the number of cars using different terminal carparks?
o Select the appropriate data
o Plot data using an appropriate chart
o Perform an ANOVA
o Based on the ANOVA result, run t-tests to confirm differences
o Discuss whether ANOVA and t-tests are appropriate for this data
The output of your analysis will be a brief report (including title, abstract, brief
introduction, results and discussion) in Springer’s Lecture Notes in Computer Science
(LNCS) format. The report should be no more than 2,000 words length (note that the
LNCS format has very wide margins) and should be submitted in PDF.
Analysis Tool Advice:
You may use any suitable tools for analysing the data. For instance, descriptive
statistics can be produced by Excel, Python, R, and many other packages equally well,
whereas Python and R support many non-parametric tests that Excel does not. You
may need to do some data preparation in Excel in order to organize the data
appropriately for the comparisons you wish to perform in another tool.
3
Submission:
Submit your completed report in PDF to [Assignments] on the unit’s MyLO site by
11:55pm, Friday 4th Oct. The report must comply with the LNCS format for conference
papers.
Lecture Notes in Computer Science is a long-running series of edited books,
predominantly containing conference proceedings. There are templates available for
both LaTeX and MS Word. On that page look at the section titled [Templates, sample
files and useful links] – LaTeX2e Proceedings Templates or Microsoft Word
Proceedings Templates, which contain zip files of the relevant templates.
Ask questions:
Questions about approaches you are considering using or how to use the LaTeX
template can be directed to Mihai.Neagoe @utas.edu.au
4
Criteria
Outstanding
(HD)
Very Good
(DN)
Good
(CR)
Adequate
(PP)
Poor
(NN)
Description of
dataset (10%)
Provided a complete and comprehensive
description of the relevant data selected
from the dataset with appropriate
charts.
Provided a mostly complete
description of the relevant data
selected from the dataset with
appropriate charts.
Provided a good description of
the relevant data selected
from the dataset with
appropriate charts
Provided a basic
description of the dataset
without appropriate charts
Provided no
description of the
dataset.
Statistical tests
(40%)
Correct use of statistical tests with
follow-up tests where appropriate
incorporating description and discussion
of significance.
Excellent discussion provided as to the
appropriateness of the tests for the data
set and suggestions of alternatives
available.
Mostly correct use of statistical tests
with follow-up tests where
appropriate incorporating description
and discussion of significance.
Very good discussion provided as to
the appropriateness of the tests for
the data set and suggestions of
alternatives available.
Mostly correct use of statistical
tests.
Good discussion provided as to
the appropriateness of the
tests for the data set and
suggestions of alternatives
available.
Mostly correct use of
statistical tests.
Adequate discussion
provided as to the
appropriateness of the
tests for the data set.
Mostly correct use of
statistical tests but
no discussion
provided.
Presentation of
results
(40%)
Presentation is clear with appropriate
choice of chart type incorporating error
bars showing variance where
appropriate.
Axes are clearly labelled and appropriate
for making clear comparisons.
Captions fully describe figures.
Presentation is clear with appropriate
choice of chart type incorporating
error bars showing variance where
appropriate.
Axes are clearly labelled and
appropriate for making clear
comparisons.
Captions mostly describe figures.
Presentation is clear with
appropriate choice of chart
type.
Axes are clearly labelled and
appropriate for making
comparisons.
Captions mostly describe
figures.
Clear presentation with
appropriate choice of chart
type.
Presentation is clear with
appropriate choice of chart
type.
Axes are clearly labelled
and appropriate for making
comparisons.
Captions adequately
describe figures.
Presentation is
unclear with
inappropriate choice
of chart type.
Captions do not
describe figures.
5
Overall
presentation
(10%)
Findings demonstrate insight and
incorporate information not found
within the given data.
Report is clear, well-structured and
contains sufficient detail following the
LNCs format.
Report is mostly free of grammar and
spelling errors.
Findings demonstrate some insight.
Report is clear, well-structured and
contains sufficient detail following the
LNCS format.
Minor grammar and spelling errors.
Findings demonstrate limited
insight.
Report is mostly clear and wellstructured following the LNCs
format.
Some grammatical or spelling
mistakes.
Report’s organisation could
be improved but is
generally comprehensible.
Report does not follow the
LNCs format.
Several grammatical or
spelling mistakes.
Report is poorly
organised and
difficult to follow, or
many grammatical or
spelling errors.
Report does not
follow LNCs format.