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Teaching Statistics regularly publishes articles to help those teaching any type of statistics to pupils aged 9 to 19. Getting the Best from Teaching Statistics brings together about 50 of the best articles from volumes 15 to 21 of Teaching Statistics . The articles are classified under the headings: |
The
Teaching Statistics Trust was established in 1978 for the purpose of
furthering study and research in statistical education for the public benefit.
The first work of the Trust was to establish the journal Teaching Statistics,
the first issue of which was published in January 1979. Sponsoring bodies
were the Applied Probability Trust, the Institute of Statisticians,
the International Statistical Institute and the Royal Statistical
Society.
The
journal seeks to help teachers of geography, biology, the sciences, social
science, business studies, economics, etc. by showing how statistical ideas
can illuminate their work and how to make proper use of statistics in their
teaching. It is also directed towards those who are teaching statistics courses
or mathematics-with-statistics courses. The emphasis of the articles is on
teaching and the classroom. The aim is to inform, entertain, encourage and
enlighten all who use statistics in their teaching or who teach statistics.
We
would be delighted to hear from you and in particular to receive an article
for the journal which meets the above aims.
For
general enquiries about subscribing to the journal write to Teaching Statistics,
RSS Centre for Statistical Education, Nottingham Trent University, Clifton
Lane, Clifton, Nottingham, NG11 8NS email: rsscse@ntu.ac.uk
Contributions
for the journal should be sent to the Editor, Mr Roger Johnson, Department
of Mathematics and Computer Science,South Dakota School of Mines and Technology,
501 East St Joseph Street, Rapid City, South Dakota 57701, USA.
Email : Roger.Johnson@sdsmt.edu.
Section 1 Students’ Understanding
Teaching Independence (P)
Secondary Students’ Concepts of Probability R Madsen
Statistics and Intuition for the Classroom (P) S Chatterjee and J Hawkes
Understanding Conditional Probability S Tomlinson and R Quinn
Data Handling: An Introduction to Higher Order Processes J Watson and R Callingham
Assumptions are important: the Paired and Pooled t test J C W Rainer
Learning about Extremes S Coles
Estimating the Size of a Population R Johnson
Sampling Errors in Political Polls Z M Kmietowicz
Don’t get t out of proportion! G Goodall
A Multiple Regression Project
R Johnson
Exploring Sampling J Nicholson
Testing for Differences between two brands of Cookies R C Magel
The BioSS Challenge - A demonstration of sampling bias (P) T S Smart
Section 3
Primary School Focus
Graphing in the Primary School L Pereira Mendoza
Section
4 Practical Activities
Don't discard last week's TV Guide! A Graham,
How Manv Fish are in the Pond? R Johnson
Asking Sensitive Questions in Surveys P Hutchinson
How long is a piece of string? (P) R Riddiough & J McColl
Lawn Toss: Producing Data On-the-Fly E Nordmoe
Why Stratify T Hodgson & J Borkowski
BUSTLE: a Bus Simulation (P)
J Appleby
A Sort of Statistics Lesson C du Feu
Coke or Pepsi? M Levine & R H Rolwing
Section
5 Using Computers and IT
Teaching Statistics through Resampling C Ricketts & J Berry
How Long will it take to Build Jack’s House R Riddiough & J McColl!
Using Spreadsheets to Calculate Prob(X+Y = w) J C Turner
Testing Colour Proportions of M&M’s R W Johnson
Contributions of Biometrics to the Developing World (P) M Darmi & R Poultney
Patients. Medicines. Policies and Statistics S Day
Determining Adequate Sample Sizes A Fielding
Recognising Randomness
D Green
Coincidences: the
truth is out there R Matthews & F Stones
Overlap Probabilities and Delay Detonators N T Diamond
Squaring the Circle - statistically speaking P Glaister
A Probability Game - letter R W Johnson
Section 8 Lessons from History
The Analysis of Experimental Data. D V Lindley
Statisticians have a word for it D Bissell
The World's 100 largest Cities D Drew & D Steyne
Scoring Patterns in Rugby League J Croucher
Murphy’s Law of Maps (P) R Matthews
Countering Indifference Using Counterintuitive Examples L Lesser
Industrial Visits Work B Gibson
How Random was the 1998 World Cup - letter G Simpson
Note: C Oswald George prize-winning articles are indicated by (P)
The C Oswald George Prize
Gerald Goodall
In the autumn of each year, the members of the Editorial Board of “Teaching
Statistics” have the enviable task of reviewing all the articles published
in the journal during that year. They then have the further task of deciding
which is the best article, for the annual award of the C Oswald George Prize.
There is, incidentally, an established custom that any articles written by
current members of the Editorial Board are not eligible for consideration.
The prize consists of a modest sum of money, but it is hoped that the prestige
of winning the prize is worth much more than the actual prize itself.
Exactly
what is meant by “best” is not easy to define. The Board looks for articles
that are immediately interesting, attractively written and of direct relevance
to the real classroom situation. Depending on the context of the article,
a degree of open-endedness is also welcome so that there are possibilities
of extension. However, all this presents a problem, albeit the rather happy
one that all articles share at least most of these characteristics,
so it is no easy matter to pick a winner. Indeed, it occasionally happens
that the prize is shared between two articles.
All
prize-winning articles in the years covered by this compendium are included
in it and are specially identified in the index.
Please email rsscse@ntu.ac.uk with any
comments or corrections.
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Please email: alison.davies2@ntu.ac.uk with any comments or corrections.
©
The Teaching Statistics Trust 2006. The Teaching Statistics Trust is a registered
charity.
ISSN 0141-982X (Print) ISSN 1467-9639 (Online)