Showing posts with label statistics. Show all posts
Showing posts with label statistics. Show all posts

Thursday, 14 May 2020

Learning about research and information in the Covid-19 pandemic. No.5 Finding and using statistics

Finding and using statistics


During the Covid-19 pandemic, many of us have been watching the daily briefing from the government and a regular part of this has been reporting on the number of cases and deaths as well as displaying a number of graphs.

Statistics (or data) are more than just numbers and have been used to predict the need for more hospital provision, PPE, to look for the peak of the infection, the "flattening of the curve" and to inform government decisions about social distancing, for example. We've seen they can tell a story, they can help us understand what is happening, they can show trends and inform theories.

Statistics however, are just numbers without context. The number of Covid deaths, though large and too many (especially for those directly affected), on their own mean nothing unless you can compare this to the normal expected death rate last year, for example. We also need to know what is being counted. Only recently have care home deaths been included in the figures.

Statistics have been used to compare and contrast. We have been able to see the UK death rate in comparison to other countries. They meant decision-makers drew similarities between the UK and Italy for example at the beginning of the epidemic. However, at the same time, statistics are to be viewed with caution. No one will truly understand what the statistics mean until the pandemic is over and lessons can be learned. Statistics ideally should be viewed with some analysis.

In the video below from the BC's Andrew Marr Show, Professor David Spiegelhalter (an expert) talks about the whole complex issue of using statistics during the Coronavirus crisis and why numbers on their own aren't always helpful. Also, he discusses how statistics can be used to help measure risk and put things in perspective.


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Using statistics in your research and assignments.

  • Statistics are great sources to use for showing the scale of a problem or issue you are writing about and to make comparisons. Use them to show trends over time and predictions.
  • Make sure you get your statistics from reputable sources. ONS (Office of National Statistics) collate a lot of information and make it available on their website. Specialist organisations e.g. charities also collect data on their particular area of expertise.
  • It is worth checking what the numbers mean.  What definition was used to identify what was counted? For example, Mintel (a marketing database UCP students can access) uses information from MORI polls and outlines this on the website. 
  • UCP students also have access to a database called Statista. By using this resource you know the statistics have come from reputable sources. Analysis is provided too and it has a section devoted to directing users to publications and websites where they can find statistics online for free.
  • If you have a lot of data, try to present it in a graph or pie chart. Visual representation usually means more to the reader (and uses less words!). Try different types until you find the one which makes your point best.
  • Always show where you have got your statistics from (i.e. reference).
  • Be aware that people with an agenda may use and even manipulate statistics  to bolster their argument. Think critically as you read.
  • Be wary of making statistics say what you want them to say - unless they really do. 


Friday, 8 June 2018

Presenting numerical information and misleading graphs

Presenting numerical information/ data.

Information can be presented in many ways and it is a skill to decide which is the best way to do this depending on its purpose. Directions may be best shown on a map, what someone looks like is best shown in a photo (than a written description) and the different parts of the heart, for example are probably best shown in a diagram. Numbers or statistical data are often best shown in graph format.

Numbers on their own can be difficult to interpret and so don't obviously mean something to the reader. See below for a table showing the number of visits we had in the LRC this year so far.

Sept
Oct
Nov
Dec
Jan
Feb
Mar
Apr
May
Totals
Totals
14666
16333
20823
11721
18611
13963
17732
10377
16719
140945

On their own the numbers mean little especially if you don't know the College. If you know the College, you may decide that from these figures we have a lot of visitors.

However, if I present this information as a graph like this, you can more obviously see the ups and downs throughout the year.


The information means even more if it is then compared with last year. It becomes more obvious to see that we have been busier in some months but quieter than last year in other months. This can be down to when holidays fall. It is then more useful to look at the total figures to see that this year we have been busier overall than last year. (140945 this year compared with 135101 last year for the months September to May only).


Misleading Graphs

Lots could be written about the usefulness of statistics and graphs and how they can be used to argue anything (that's a blog post for another day!), but have you thought about how the layout of a graph can be helpful or not so helpful. If I include the totals in the graph at the end, the scaling is less helpful and the difference in the bars for each year disappears.


Have a look at this quiz by the BBC on misleading graphs. Can you see what is wrong with how the information is presented and how this can skew how the information is read and understood.

The skill is to be aware of this, not only when presenting information, but also when looking at statistics and graphs as part of research. Check the facts and also check how this has been presented. Would it show a different picture if presented in a different way?

With our figures we have assumed that the people counter has been working properly and that the figures are as near as correct as they can be. Also the figures themselves are just quantitative data and just show numbers/ amounts. We have no information from this on what people do in the LRC, how long they stay, what they do and whether they like it. We have to collect that another way - usually through comments and interviews. This is known as qualitative data. Last week's blog post contained some of this from comments made in the UCP student survey, for example.



Friday, 17 November 2017

Be Healthy Stay Safe Be Green event

Be Healthy, Stay Safe, Be Green

Yesterday was the College's annual Be Healthy, Stay Safe, Be Green event and the LRC had a stall at this. We enjoyed talking to students who came to our table and asked them what their prescription for a healthier life would be. Here are some of the suggestions:

Stay healthy
Love yourself
Love life
Be positive
Enthusiasm
Physical exercise (football)
Eat healthy food
Drink water
Stop smoking
Eat less fast food!!!
Smile and have fun
Always make the most of everything
Friendship
Read more
Less stress, less worry!
Eating better!
No drugs
Work hard, relax, exercise
Eat fruit and vegetables - 5 a day.


Student prescriptions for a healthier life
Photo: Peterborough Regional College

National Wellbeing Statistics


Statistics are useful sources of information and the Office of National Statistics website is a good place to start for all sorts of UK statistics (crime, population, employment etc.). Each year they report on the nation's wellbeing. Follow the link to read the latest report which covers happiness, life satisfaction and anxiety levels.

If you want to take your own Happiness Survey the Oxford happiness survey is available to print here  or you can take it online.

At the Be Healthy Stay Safe event, LRC staff enjoyed meeting Wendy, the College's new Counsellor. If you need someone to talk to, you can contact her and she will help you. In the LRC we have a collection of Reading Well Books on Prescription which GPs have recommended (set up by the Reading Agency) including some especially for young people. Books cover topics such as overcoming anxiety, overcoming depression, self esteem, stress and OCD. We also have a number of the mood-boosting books which are feel-good, uplifting fiction reads.

Anti-bullying Week


Finally, this week has also been Anti-bullying week and we had our own display with socks coloured in by students (as recommended by the national campaign).

Photo of anti-bullying display in the LRC - books and paper socks coloured in by students
Anti-bullying Week display
Photo: Peterborough Regional College