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Contents of 29-3 (Autumn 2007)
Computing Corner P66. Neville Hunt
This article describes how a spreadsheet-based tool can be
used to provide personalized statistics homework exercises
for each student in a class.
A Classroom Demonstration of Hypothesis Training
P71. Bart K. Holland
This article describes a classroom demonstration that may
be used to encourage students’ development and understanding
of the idea of hypothesis testing.
Probability with Roulette P74. Jennings
B. Marshall
This article describes how roulette can be used to teach basic
concepts of probability. Various bets are used to illustrate
the computation of expected value. A betting system shows
variations in patterns that often appear in random events.
Assessment of Students’ Understanding of Variation
P80. Jane M. Watson and Ben A. Kelly
Several tasks used in research studies are presented with
assessment rubrics and examples of the development of student
understanding. The tasks focus on students’ appreciation
of variation in several contexts and illustrate the need to
discuss variation in the classroom and to ask students specifically
about it during assessment.
Inference by Eye: Pictures of Confidence Intervals
and Thinking About Levels of Confidence P89. Geoff
Cumming
A picture of 95% confidence interval (CI) implicitly contains
pictures of CIs of all other levels of confidence, and information
about the p-value for testing a null hypothesis. This article
discusses pictures, taken from interactive software, that
suggest several ways to think about the level of confidence
of a CI, p-values, and what conclusions can be drawn from
inspecting a CI.
Pedagogical Simulation of Sampling Distributions
and the Central Limit Theorem. P94. Reidar Hagtvedt,
Gregory Todd Jones, and Kari Jones
Students of ten find the fact that a sample statistic is a
random variable very hard to grasp. Even more mysterious is
why a sample mean should become ever more Normal as the sample
size increases. This simulation tool is meant to illustrate
the process, thereby giving students some intuitive grasp
of the relationship between a parent population and the distribution
of a sample mean.
Organizing Data in Tables and Charts: Different Criteria
for Different Tasks. P98. Jane E. Miller
Tables and charts are efficient tools for organizing numbers,
but many people give little consideration to the order in
which they present the data. This article illustrates the
strengths and weaknesses of four criteria for organizing data
– empirical, theoretical, alphabetical and a standardized
reporting scheme.
Simple Numbers: ANOVA Example of Facilitating Student
Learning in Statistics P102. Larry Lesser and
Lorraine Melgoza
This article advocates the use of simple data sets to help
students gain a good intuitive grasp of ANOVA concepts.
A Surprising Result in Random Permutations
P106. Kavita Laghate and M.N. Deshpande
In this article, we present a somewhat surprising result connected
with random permutations.
Statistical Diversions P108. Peter Petocz
and Eric Sowey
The usual Statistical column to get you thinking.
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