Teaching and Using Statistics

Papers presented at four workshops for teachers of statistics organised by the Royal Statistical Society September 1992 - May 1993

C O N T E N T S  

USING STATISTICS

TEACHING STATISTICS

  Common Sense and Statistics    Making your A Level Statistics Teaching Practical 
  Industrial Statistics   Using Computer Software to Help Teach Statistics 
  Statistics in Government    Preparing the Ground for A Level Statistics 
  Statistics in the Real World    Teaching Statistics Through Practical Work 
  A Case Study in Environmental Statistics    Insights into Sixth Year Studies Statistics 
  Statistics in the Energy Industry    Statistics: A Route to the Real World 
  The use of Statistical Techniques in Engineering    Teaching Statistics through Games 
    Teaching Applied Statistics in Higher Education 
    Selling Statistics to Sixth Formers 

 

USING STATISTICS

1   Common Sense and Statistics
    Adrian Smith, Imperial College of Science, Technology and Medicine, London

Adrian Smith provides two real examples to show that, under some circumstances, the very often revered quality in humans of  'common sense', can be useless. When it comes to probabilistic reasoning, formal understanding is essential. Neither of the examples is contrived or artificial. To me they demonstrate the need to make everyone, including famous politicians, more statistically literate. This paper is a must for all those teachers interested in a real use of statistics.
 
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2   Industrial Statistics
    Roland Caulcutt, European Centre for Total Quality Management, University of  Bradford

Roland Caulcutt's paper lists those statistical techniques that people in industry actually use. The paper briefly describes the author's experiences with being involved with training courses for industry and much emphasis is placed on the financial and time constraints imposed by teaching specialist courses to people whose time costs money. The importance of spreading the statistical message is loud and clear: it should not be left until students are in their chosen career. The motivation and foundation for understanding should be laid in schools.

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3   Statistics in Government    
    Paul Altobell, Ministry of Defence, London

The paper by Paul Altobell makes a plea for an increase in the general level of numeracy in students coming into the Government Statistical Service - to enhance the democratic process! For example, most people have great difficulty in interpreting official figures, but it is also the responsibility of presenters of official figures to make them more easily understood. The author also makes a plea for statistics to be taught as an exploratory subject with real and meaningful data, rather than driven by formulae and theory. Finally, statistics should be a life skill. Many students entering the Civil Service, unfortunately, have many gaps in their knowledge of very basic statistics, even after attending some university courses.

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4   Statistics in the Real World
    Ann Gould, Shell Research Ltd., Sittingbourne, Kent

Ann Gould highlights how varied and interesting statistics can be in industrial research. At Shell research at Sittingbourne, the use of statistics covers methods of crop protection, use of fungicides and weed killers, computer-aided molecular design and screening techniques. A vital part of the research undertaken in safety analysis is the involvement of statisticians in the design and analysis of the experiments carried out.

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5   A Case Study in Environmental Statistics
    Simon Pack, Shell Research Ltd., Sittingbourne, Kent

Simon Pack describes his involvement with the development of an ecotoxicological testing guideline. This activity is concerned with possible toxic effects on wild life, both terrestial and aquatic. It involves the physical, chemical and biochemical breakdown and movement of chemicals in soil and water. The case study described was a fish growth test that assessed reductions in weight of fish after exposure to a known chemical. Statistical issues included experimental design, analysis of variance, treatment-control comparisons and the modelling of the concentration-effect curve. Simon emphasises that statistical ability is only a part of the job and the most important facet is good interpersonal skills. This means that statisticians need to be able to communicate clearly and concisely, with the appropriate amount of statistical detail.
 
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6   Statistics in the Energy Industry
    Tony Haws, Business Planning Manager, British Gas plc (Northern)

Tony Haws describes statistical aspects of his work as Business Planning Manager of British Gas (Northern) plc. Activities include strategic planning, market forecasting, data reliability assessment and use of operational research techniques. He emphasises the need for ability to communicate well, assimilate knowledge about rapidly changing business areas and present ideas convincingly.

One of the more interesting statistical activities is the analysis of patterns of gas consumption. The statistical models which support the analysis and forecasting process have been developed and improved over a period of 30 years. Best practice often becomes national standards, and the statistician can become responsible for seemingly small improvements in forecasting accuracy. However, such improvements can be worth millions of pounds!

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7   The use of Statistical Techniques in Engineering
    Tony Cutler, GKN Technology Ltd., Wolverhampton

Tony Cutler is centrally involved in using statistics for delivering cost reduction, quality improvement and product design for GKN Technology. The company provides specialist support to manufacturing companies world-wide for motor car constant velocity joints and propeller shafts.

An example of product design is given and work involves matching part strength to environmental stress, where both may be subject to uncertainty. Statistical Process Control (SPC) is used extensively for control charting, inspection and acceptance sampling. An under-utilised procedure is experimental design and Tony describes some difficulties with direct application of this technique.

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TEACHING STATISTICS

8   Making your A Level Statistics Teaching Practical
    Peter Holmes, The Centre for Statistical Education, University of Sheffield

Peter Holmes, well known for his leadership in statistical education at the Centre for Statistical Education at the University of Sheffield, gives some sound and useful advice for teachers wishing to make their A level statistics teaching more practical. He emphasises the need to make statistics more relevant and motivating, by allowing students to choose their own project topic.

Some syllabuses may not require practical or project work as part of the assessment, but Peter cogently argues that it is still worthwhile to use project methods, since great benefits can be gained from the understanding and insights that students gain. Several specific and practical examples are described, and the paper provides a rich source of ideas for teachers to use.

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9   Using Computer Software to Help Teach Statistics
    Derek Robinson, University of Sussex

Derek Robinson is co-author of three books covering innovative approaches to teaching statistics using computers, 'Computer Illustrated Texts' (see the references in his paper).  His enthusiasm for the subject comes through very clearly. In the live presentation of the material described here, Derek illustrated techniques of using his software with 'snapped' and still screens. There is, of course, no substitute for using the software interactively, but the paper herein does contain some example screens. The paper describes the use of graphics for summarising data and teaching hypothesis testing. In addition, simulation is used to teach the fundamentals of the central limit theorem. In all these tasks, a key feature is the use of animation. Even routine tasks, such as the learning about the use of ?2 testing, can benefit from animation and this helps to motivate students. It is best to try the computer programs yourselves - I can recommend them!

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10  Preparing the Ground for A Level Statistics
     Jim Garbutt, Burnholme School, York

The enthusiasm for statistics exuded from Jim Garbutt in this paper is infectious! It is only surpassed by listening to him present his thoughts and experiences live. More than 12 exciting ideas for motivating and interesting students in the use of statistics is provided in this paper. Some of the ideas are adaptations from other books and authors, but Jim brings a new and fresh angle to the teaching technique in each case. His philosophy for teaching statistics is based upon five principles: Always choose a practical alternative where one exists; critically analyse data sets; experiment and present results; emphasise the importance of displaying results; always utilise the fact that statistics is a cross-curricular activity. I am sure that some of his enthusiasm for the subject will rub off on the readers of his paper!

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11  Teaching Statistics through Practical Work
     Mary Rouncefield, Chester College, Chester

Mary Rouncefield is well known as being the co-author of the much-used and much-loved 'Rouncefield and Holmes, Practical Statistics' book. In this paper she points out that many teachers of statistics concentrate on analysis, and fail to inculcate the understanding and purpose behind the methods. Data collection is vitally important and this paper describes practical classroom activities to teach the binomial distribution, leading into inference and hypothesis testing. Her approach is to start with a practical problem, collect data, analyse and discuss, and develop a model. This approach ensures students enjoy what they have done. Enjoyment very often equates with learning and knowledge retention.

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12  Insights into Sixth Year Studies Statistics
     Leslie Dickson and sixth form pupils, Lenzie Academy, Scotland

Les Dickson presents a Scottish flavour on how he teaches statistics to sixth form students. He reflects on how statistics courses have changed over the last 20 years and is enthusiastic about recent changes in the curriculum and the new course, as delivered at Lenzie Academy. He makes some highly critical comments about some software, although he is enthusiastic about the software that Derek Robinson describes in paper 9 in this book. Resources could be better, of course. Written comments from three of his students at Lenzie are recorded here. Their honesty is refreshing!

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13  Statistics: a Route to the Real World
     Ralph Riddiough, Kyle Academy, Ayr, Scotland

Ralph Riddiough describes a delightful project that his students in the sixth form volunteered to carry out. A local hospital was applying for trust status and management there were embarking on a vigorous approach to quality assurance. They also wanted to develop links with the local community. Ralph's students designed and carried out a survey to study the service provision at the hospital. They also analysed the returns from the questionnaire and wrote a report on their findings.

The students involved enjoyed this highly practical activity and 'had a feeling of responsibility, because they realised that the correct answers were not in the back of a book!'. It is a pity that syllabus writers do not encourage the use of group project work with local businesses and industry- that way  students could really use statistics outside the classroom, and also it would be part of the educational experience required in schools.

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14  Teaching Statistics through Games
     Steve Gilmour, University of Reading

'We teach statistical methods because they are useful for solving problems in other disciplines' is one of the opening remarks in Steve Gilmour's paper. That is a sentiment that I concur with. At the University of Reading, carefully designed games are used to simulate real life experimental situations and problems. Traditional lecture-based courses benefit from this approach by motivating the use of techniques through games. Three such games are described that motivate the learning of regression techniques, experimental design and analysis of variance. The major benefit of this approach to learning is that students get more involved and make discoveries by trial and error, rather than having to be told everything.
 
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15  Teaching Applied Statistics in Higher Education
     Keith Jones, Sheffield Hallam University

Keith Jones describes the approach to teaching statistics on the nationally respected degree in Applied Statistics at Sheffield Hallam University. Sheffield was the leader in this approach to teaching the subject, and several other new universities now share the same philosophy and view on applied statistics teaching. The emphasis at Sheffield is on problem formulation, skills in interpretation and communication. There is no requirement for A level mathematics and Keith provides some surprising statistics on recruitment: up to 30% of those recruited on the course do not have A level mathematics and typically 40% of students are female.

Keith describes the context of the 4-year sandwich course and a clear emphasis is placed on care for students, especially so because of the high variability in the background of the student intake. Teaching methods reflect a constant theme of practical, rather than theoretical, use of statistics. Communication skills are a core component of the degree, and stress is placed upon an awareness of the real world environment in which practising statisticians operate. Keith quotes some statistics that indicate excellent employment prospects for Sheffield Hallam statisticians - before, during and after the recession!

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16  Selling Statistics to Sixth Formers
     Alan Jones, University of Wales at Aberystwyth

Alan Jones reports some of his experiences with selling statistics to schools and colleges in and around Wales. The university has an exemplary record of taking all subjects into sixth forms, and Alan has pioneered spreading the statistical message. He reviews the early history of probability and discusses randomness, rare events and the development of the Poisson distribution.

This is just one example of the many ways in which Alan tries to sell the subject of statistics to sixth formers, and his message is loud and clear: it is imperative that both specialists and non-specialists understand the importance of statistical literacy. Teachers of statistics in universities have a responsibility to be leaders in this this important activity at school level.
 
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