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The Gourmet Guide to Statistics: For an Instructional Strategy that
makes Teaching and Learning a Piece of Cake p. 2 Gunapala
Edirisooriya
This article draws analogies between the activities of statisticians and of
chefs. It suggests how these analogies can be used in teaching, both to help
understanding of what statistics is about and to increase motivation to learn
the subject.
Confident in a Kiss p. 6 Mary Richardson &
Susan Haller
This article describes an interactive activity for illustrating general properties
of confidence intervals and the construction of confidence intervals for proportions.
In completing this activity, students generate, collect and analyse data.
A Statisticians Approach to Goldbach's Conjecture p. 12
Neil Sheldon
Goldbach's conjecture is explored by means of probability.
The Same but Different - How to Introduce Variation within Computing Assessment
Tasks p. 14 Flavia Jolliffe
In this article, suggestions are made for introducing an individual element
into formative assessment of the ability to use computer software for statistics.
Fifteen to One p. 17 Susan Meacock
This article shows how data from a television game show can be used as a basis
for illustrating many statistical procedures.
COMPUTING CORNER
Minitab Macros for Resampling Methods p. 22 Adam Butler,
Peter Rothery & David Roy
This article describes a set of Minitab macros that perform randomization
and bootstrap versions of basic statistical techniques, and suggest
ways in which the macros might be used in teaching statistics.
A Walker runs through the Syllabus p. 26 Sidney Tyrrell
A bag of 24 packets of a well-known brand of crisps provides a handy visual
(and edible) aid to looking at the syllabus of a basic course in statistics.
BOOK REVIEW
First Steps in Statistics by Daniel B Wright
p. 28
Reviewed by Doreen Connor
King Kong, Storks and Birth Rates p 29 Steffen Wirth
This article discusses the influence extreme observations can exert on
linear correlation between variables. It shows that standard p-values
obtained according to ordinary least squares and median regression can be
misleading. Bootstrapping can prevent underestimation of the standard error
of the regression coefficient and therefore unmask the deceiving correlation.
News and Notes (32)
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)