Statistics & Data Analytics – Essay Furious


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PROGRAMME BA (Hons) in Business Studies & BA (Hons) Marketing
Semester 4
MODULE Introduction to Statistics & Data Analytics
LECTURER Dermot O’Toole
REQUIRED MAXIMUM
WORD COUNT
(excluding
references/footnotes/endnotes)
Max 15 slides
Max 8 minute recorded presentation of findings
Both the recording and the PowerPoint slide show must be submitted on
Turnitin by the required submission date.
WEIGHTING 20%
INDIVIDUAL OR GROUP This is a group project. All group members listed MUST participate in
presentation to be awarded marks.
REQUIRED SUBMISSION
DATE AND TIME
At or before 09:00 on 26/11/2021
Assessment Requirement:
Using any or all of the data set that has been provided, outline the following in a brief presentation:
1. What is the main weekness in using this data set to extrapulate the BER ratings for the entire

BER Statistics
Find included on Moodle an Excel sheet containing statistics about BER certification in Irish
households. This data is sourced from The Central Statistics Office, and can be found at the following
address: https://www.cso.ie/en/
A building energy rating (BER) is an energy rating for homes. The label has a scale of A-G, with A-rated
buildings the most energy efficient and G the least. The Sustainable Energy Authority of Ireland states
that “A BER is an indication of the energy performance of a home. It covers energy use for space heating,
water heating, ventilation and lighting calculated on the basis of standard occupancy.” A BER
assessment and certificate is compulsory to sell a building or shortly after its construction. BER was
created as a tool to help monitoring and improving the overall building energy efficiency. Since January
2009, ANY home that is put up for sale or rent must have a valid BER certificate. Homes build before
2009 may only be required to get certification in the following circumstances: the house is put up for
sale or rent or if the owner applies for a SEAI grant to improve efficiency of the home. Therefore, it is
likely that the statistics in the data set, which represents home WITH BER CERTS, is nor fully reflective of
the BER levels of all 1,554,074 homes in Ireland.
As part of the Irish government climate action plan, a key goal has been to help homes achieve better
energy performance and reduce home heating costs. Detail on that action plan can be found at the
following site: www.gov.ie/en/publication/a1fe1-sd-test-energy-efficiency-in-buildings/
Please address the questions above in a creative and thoughtful way, demonstrate an understnaidngf of
the statistics principles addressed, and offer interpretation of the statistical tables in a clear on
comprehensible way. You are NOT required to use all the datasets in the excel sheet. Use only
information you feel contributes to your presentaiton.

housing stock in Ireland? How can this be overcome?
2. Are there any regional issues in achieving higher BER certification demonstrated by the data?
3. What is the most central statistic in regards to BER ratings in Ireland. Why have you chosen
that measurement?
4. There are five houses in a small rural Irish village. The homes were built in 2010, 2013, 2016,
2019 and 2020. All have BER certification. Using empirical probability, describe the liklihood
that all of these homes are B2 rated or better. Explain your reasoning.
5. Are there any recommendations you would make to government having reviewed the limited
data set?
Additional Information
1. The word limit for the assignment is referenced above. This excludes references / reference
list, footnotes, endnotes, and cover page.
2. The assignment must be delivered in a taped presentation uploaded to Moodle.
3. All student assessment work(s) must be submitted electronically via relevant ICD Moodle
page. It is ICD policy that all student assignments are put through an anti-plagiarism
software as instructed by their relevant lecturer. Students are required to retain an additional
copy for themselves until the end of the academic year.
4. It is recommended that students save their work as a .PDF file and email it to themselves prior
to the required submission day/time as an archive of their work. Students are advised to save
and back up a copy of their coursework onto a suitable storage or cloud drive. It is the
responsibility of the student to ensure that they keep records of their academic work for the
duration of their course(s).
5. Students should consult the Student Handbook for a guide on academic referencing.
Plagiarism and/or other forms of academic impropriety will incur disciplinary proceedings.
6. Late submissions will be penalised by 5 marks of the awarded mark per calendar day. This is
subject to a maximum of 5 calendar days, after which time work cannot be accepted without
proof of extenuating circumstances. Refer to the Extenuating Circumstances Policy in relation
to what are/are not extenuating circumstances.
7. Work must be presented properly: ensure that you spell-check and proof-read your work
before submission.
8. Please see the Quality Assurance Manual for further guidance on Assessments.

Assessment Criteria (to be replicated on Turnitin for marking)

Assessment
Criteria
<35 36 – 40 40 – 49 50 – 59 60 – 69 70 – 79 80+
All Members
participate in
presentation
40%
More than one
did not
participate
One did not
participate
All participated,
but
unstructured
and
unprofessional
approach.
All participated
and
demonstrated
reasonable
teamwork.
All participated
and
demonstrated
good
teamwork.
All participated
and
demonstrated
very good
teamwork.
Excellent
participation
and teamwork.
Seamless in
presentation.
Professional
Creative use of
and clear
understanding
of the
statistical tools
used.
20%
Poorly
constructed
answer
Shows little
insight
Some basic
understanding
demonstrated
Understanding
of key concepts
demonstrated
Good
understanding
of concepts
Concepts
understood
and well
applied
Excellent
understanding
and
application.
Overall
impression
left.
20%
Poorly
answered. Not
satisfactory
Poor effort,
little insight.
Basic
understanding
demonstrated
but no
interesting
insights
Understanding
of key concepts
demonstrated
Good
understanding
of concepts
with useful
insights.
Concepts
understood
and well
applied to
provide
interesting
interpretations.
Excellent
understanding
and
application.
Clear and
appropriate
use of
Poorly
constructed,
insufficient
Poor use of
visualisations,
unclear and did
Some good
visualisations,
but needed
Better
visualisations,
Good graphics
made
understanding
V good
graphics,
appropriate
Excellent use
of
visualisations
visualisations
of data.
20%
visualisations not address the
issue.
more clarity well explained. of
presentation
much easier.
and well
explained.
to support key
points of
presentation.
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