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The Journal of Statistics Education

An International Journal on the An International Journal on the Teaching and Learning of StatisticsTeaching and Learning of Statistics

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JSE Mission

To disseminate knowledge for the To disseminate knowledge for the improvement of statistics education at all improvement of statistics education at all levels. It is distributed electronically and levels. It is distributed electronically and publishes articles that enhance the exchange publishes articles that enhance the exchange of diversity of interesting and useful of diversity of interesting and useful information among educators, practitioners, information among educators, practitioners, and researchers around the world.and researchers around the world.

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Intended Audience and Peer Review

The intended audience includes anyone who The intended audience includes anyone who teaches statistics, as well as those interested teaches statistics, as well as those interested in research on statistical and probabilistic in research on statistical and probabilistic reasoning.reasoning.

All submissions are rigorously refereed All submissions are rigorously refereed using a double-blind peer review process.using a double-blind peer review process.

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Potential Topics

Curricular reform in statisticsCurricular reform in statistics The use of cooperative learning and projectsThe use of cooperative learning and projects Innovative methods of instructionInnovative methods of instruction AssessmentAssessment Research on students’ understanding of Research on students’ understanding of

probability and statisticsprobability and statistics Research on the teaching of statistics, Research on the teaching of statistics,

attitudes and beliefs about statisticsattitudes and beliefs about statistics

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Potential Topics (Continued)

Creative and tested ideas for teaching Creative and tested ideas for teaching probability and statistics topicsprobability and statistics topics

The use of computers and other media in The use of computers and other media in teaching statisticsteaching statistics

Statistical literacyStatistical literacy Distance educationDistance education

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Potential Topics (Continued)

New ways of looking at statistical topics New ways of looking at statistical topics that teachers would find useful.that teachers would find useful.

Articles that provide a scholarly overview Articles that provide a scholarly overview of the literature on a particular topic are also of the literature on a particular topic are also of interest.of interest.

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Recently Published Articles

G. Rex Bryce (2005), “Developing G. Rex Bryce (2005), “Developing Tomorrow’s Statisticians,” 13(1).Tomorrow’s Statisticians,” 13(1).

Barbara Ward (2004), “The Best of Both Barbara Ward (2004), “The Best of Both Worlds: A Hybrid Statistics Course,” 12(3).Worlds: A Hybrid Statistics Course,” 12(3).

Ulf Olsson (2005), “Confidence Intervals for Ulf Olsson (2005), “Confidence Intervals for the Mean of a Log-Normal Distribution,” the Mean of a Log-Normal Distribution,” 13(1).13(1).

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Recently Published Articles

Timothy S. Vaughan and Kelly E. Berry Timothy S. Vaughan and Kelly E. Berry (2005), “Using Monte Carlo Techniques to (2005), “Using Monte Carlo Techniques to Demonstrate the Meaning and Implications Demonstrate the Meaning and Implications of Multicollinearity,” 13(1).of Multicollinearity,” 13(1).

Mary Richardson, John Gabrosek, Diann Mary Richardson, John Gabrosek, Diann Reischman, and Phyllis Curtis (2004), Reischman, and Phyllis Curtis (2004), “Morse Code, Scrabble and the Alphabet,” “Morse Code, Scrabble and the Alphabet,” 12(3). 12(3).

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Data Sets and Stories

Robert W. Hayden (2005), “A Data Set that Robert W. Hayden (2005), “A Data Set that is 44% Outliers,” 13(1).is 44% Outliers,” 13(1).

David E. Kalist (2004), “Data from the TV David E. Kalist (2004), “Data from the TV Show Friend or Foe?,” 12(3).Show Friend or Foe?,” 12(3).

Neil Binnie (2004), “Using EDA, ANOVA Neil Binnie (2004), “Using EDA, ANOVA and Regression to Optimise some and Regression to Optimise some Microbiology Data,” 12(2).Microbiology Data,” 12(2).

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What Not to Submit.

Articles that deal entirely with a theoretical Articles that deal entirely with a theoretical result, its derivation and proof.result, its derivation and proof.

Articles on educational statistics that do not Articles on educational statistics that do not deal with teaching of statistics.deal with teaching of statistics.

Articles that describe analysis of data in a Articles that describe analysis of data in a particular field if the focus of the article is particular field if the focus of the article is on the analysis of the data for consumption on the analysis of the data for consumption by researchers in other disciplines.by researchers in other disciplines.

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Common Mistakes to Avoid

Multiple spelling and grammatical errors.Multiple spelling and grammatical errors. Incomplete and/or obvious mistakes in the Incomplete and/or obvious mistakes in the

references.references. A narrow or biased review of the literature.A narrow or biased review of the literature. Inappropriate data analysis.Inappropriate data analysis.

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Raising the Bar.

Activities should model good statistical Activities should model good statistical practice.practice.

Studies should be well planned and well Studies should be well planned and well executed.executed.

Good assessment of student outcomes.Good assessment of student outcomes.