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The John Hooper Medal for Statistics competition has yet again been a great success. Each year we are delighted with the number of entries received. This year, due to the pandemic, we had to take a different approach to advertising the competition.  We ran a major social media campaign and thankfully it worked out very well.  Our judges also had to judge remotely, so a huge thank you to them for working under difficult circumstances.

The eleventh John Hooper Medal for Statistics competition was launched on 20 October 2020. In all, 211 entries were received. The posters were initially judged in two phases by teams from the CSO, according to detailed judging criteria. Fifteen posters were then shortlisted for the final judging phase. The final judging panel, chaired by Fiona O’Callaghan, consisted of:

Kathleen O'Sullivan
Lecturer & Director of the Statistical Consultancy Unit
School of Mathematical Sciences
University College Cork

Dr. Kieran Murphy
Lecturer in Mathematics
Waterford Institute of Technology

Fiona O’Callaghan
Central Statistics Office

Anthony Dawson
Central Statistics Office

Tim Linehan
Central Statistics Office

The results of the judges’ deliberations are given below:

First Prize and Winners of the John Hooper Medal for Statistics

Students: Alp Tarim and Leonard Wloch
Teacher: Proinsias Cronin
Bandon Grammar School,
Co. Cork
A Regression Based Long-Range Forecasting Model For Ireland’s Electricity Consumption

Second Prize

Students: Alana O' Connor and Jessica Chen
Teacher: Chloe White
Loreto Secondary School,
Co. Dublin
How Does Relative Pitch Affect a Person's Ability to Reproduce or Pronounce Languages

Third Prize

Students: Jess Joy and Niamh McManus
Teacher: Chloe White
Loreto Secondary School,
Co. Dublin
Could Vertical Farming be Used as a More Efficient Method than Conventional Arable Farming in Ireland

Order of Merit

The following were given an order of merit by the judges:

Students: Oscar Despard and Ian Farnan
Teacher: Dana Kilroy
Sandford Park School,
Dublin 6
Demographic Predictors of the Incidence of COVID-19

Students: Mae Weir and Sadbh Williams
Teacher: Samantha McMorrow
Mercy College Sligo,
Chapel Hill
Co. Sligo
Reading Habits of Teenagers VS Adults

Students: Molly-Jane Sweeney and Chloe Gallagher
Teacher: Annette Galvin
St Joseph’s Secondary School,
Co. Clare
Factors Affecting Exam Performance in Senior Cycle Students in Core Subjects

Students: Caoimhe Kerin and Robyn Mele
Teacher: Jessica Tynan
Seamount College,
Co. Galway
How Has Secondary School Student’s Screen Time Patterns Changed During the Covid-19 Pandemic and What Effect Does this Have on Them

Students: Hannah Mc Donald and Kate Fensom
Teacher: Sinead O’Connor
Loreto College Foxrock
Springfield Park
Co. Dublin
Would Society Accept a Tetra Pak Take-over

Students: Labhoise Foley and Samantha Guinan
Teacher: Diarmuid Lenehan
Moate Community School
Co. Westmeath
How Can We prevent Bacteria at Bird Feeders

Students: Rachel Young and Ella Harrington
Teacher: Patricia McDonagh
Cork Educate Together Secondary School
C/O Griffith College
Wellington Road
Co. Cork
Pink Tax Do Women Pay More

Students: Patrice McGowan and Caitlin McLaughlin
Teacher: Laura Corbett
Scoil Mhuire Secondary School
St. Oran's Road
Co. Donegal
Climate Change Analysis Ireland Versus Great Britain - A Comparison of CO2 Emissions

Students: Katelyn Doherty and Rory Coleman
Teacher: Laura Corbett
Scoil Mhuire Secondary School
St. Oran's Road
Co. Donegal
What's Killing You? - A Statistical Analysis of the Association Between Age, Gender, Place of Residence and Cause of Death in the Irish Population

Students: Adriana Ciot, Lily Anderson and Preethigaa Kumaresan
Teacher: Brian Higgins
Loreto Secondary School,
Co. Dublin
Would Displaying Information Through a Virtual Interactive Story Affect How People Perceive Information Relating to Immunisation

Students: Isabella Watts and Hiba Shahzad
Teacher: Brian Higgins
Loreto Secondary School,
Co. Dublin
The Effects of ASMR on Stress Levels and Loneliness in Teenage Girls

Students: Luke Turner, Ian Lynam and Padraic O'Carroll
Teacher: Sean Rossiter
St. Peter’s College Secondary School,
Summer Hill,
Co. Wexford
A Comparative Study of Student Participation During Online Learning Between Lock Down 1.0 and 3.0

Feedback on the posters

The following are some of the issues that arise each year while we are trying to manage the registration and entry processes:
• Entries in the wrong format;
• School and/or pupil names on the posters;
• Posters submitted without accompanying entry forms.

We remind teachers and pupils each year to carefully read the rules, however we continue to come across the same issues. Please be aware that reading the rules, which are few and reasonably straightforward, will make the process a lot smoother for both the CSO and the schools involved. It would be a pity for a team to lose out after all their hard work because of a technicality. We are happy to answer your questions if there is any confusion about the entry requirements.

Feedback from the judges:

The judges were impressed with the variety of interesting topics covered in the posters this year but have offered the following tips and suggestions:

Try to avoid using a dark background colour in your poster as it can make some of the text very difficult to read. Sometimes colours and fonts can look different on screen and on paper, so it might be a good idea to print a copy of your poster to see how it looks before you submit it.

Cut down on the amount of text and consider the balance of blank space versus text/graphs. While a certain amount of blank space is needed in the margins etc. so that the poster is not too cluttered, small font sizes and small graphs are difficult to read. For the posters that were entered into BTYSTE, there should be some editing of these posters to make them more suitable to a poster competition.

Think about the appropriateness of the graphs that you use. Bar charts are good for comparisons, while line charts work better for trends. Scatter plot charts are good for relationships and distributions, but pie charts should be used only for simple compositions — never for comparisons or distributions. Graphs should help the reader to understand your results so be sure to label your axes and use a legend if required.

Some posters showed a lot of potential in terms of the subject matter and the data collection etc. but they didn’t quite follow through with the analysis section. Try to explore a range of statistical techniques including descriptive and inferential statistics.

Provide better information on where the data is sourced. Some posters were let down by a lack of description of their survey or data collection methods.

Be cautious around sensitive topics. We don't want to discourage students from working on topics that may be of a sensitive nature, but students and teachers need to be aware of issues around confidentiality and ethical surveying.

Finally, make sure to proof-read your poster before you submit it as typos and spelling mistakes can take from the overall impression of a poster.

Clarity of message: Try not to over-complicate your poster by attempting to test or analyse too many things.

Data collection: If survey data comes from a particular school, some background on the school should be provided so that the context of the findings may be more transparent. The possible effects of non-response could be explored.

Analysis and conclusions: Exercise caution when reporting your findings. Avoid overstating the inferences/conclusions that can be made from the results – usually the inferences are limited to the sample and probably can’t be extended to the overall population. It is very important to choose a statistical analysis that is appropriate for the type of data collected. Try to keep the commentary on the conclusions objective rather than subjective.

Graphs and tables: Make sure to label the axes of all graphs, label them correctly and try to select a style of graph that best conveys your message. Avoid the use of 3D graphs as they can often detract from the readability of a graph. Choose the graph type that is appropriate for your data, for example, do not use line graphs to summarise categorical data. In presenting your results, limit the number of decimal places displayed to 2 or less – unless the data specifically needs to be displayed with more decimal places.

Presentation: Take care with spelling and the overall alignment and formatting of the poster. Try to avoid having too much text and over-filling the poster area. Including more text by making the font size smaller on the poster can sometimes take away from the impact that the students’ hard work deserves. Use a mixture of text, graphs and images, but keep in mind graphs and images have a greater impact than text.

If the poster is in a slide format, do not over-complicate the flow of the narrative. Make sure the slides follow a simple, easy to follow and logical flow. For example:

Image for Feedback

Make sure all text, graphs and images are legible in the final poster. In a number of posters, the text was not legible as it blended into the background – try a dark font on a light background.

Try to create an eye-catching poster but be careful in choosing the overall colour scheme. 2 – 3 different colours should suffice. Use an overall colour scheme that is not too garish and hard on the eye. Avoid backgrounds that are too busy.

Creativity/Importance: Originality and creativity in the research question are key components of the competition.

Feedback welcome

Please send your feedback and comments on the John Hooper Medal for Statistics poster competition to